Views

StructuredGeographyView

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Example: Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: A concept of vacation might be described as having sub-types of beach vacation and mountain vacation.
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Example: 1) Concept of Sex: Male, Female, Other 2) Concept of Household Relationship: Household Head, Spouse of Household Head, Child of Household Head, Unrelated Household Member, etc.
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
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Example: Bounding box for Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837. Minnesota Land area: 206207.099 sq K, Water area: 18974.589 sq K
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Example: The State of Minnesota from 1858 to date where the Unit Type is a State as defined by the United States Census Bureau. It has a geographic extent and supersedes a portion of the Territory of Minnesota and a portion of the Territory of Wisconsin. Minnesota territory had both a broader geographic extent, different Unit Type, and earlier time period (1849-1858) as did the Territory of Wisconsin.
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Example: Country--State--County
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Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive
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Example: Person, Establishment, Household, State, Country, Dog, Automobile

StatisticalClassificationView

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Example: May be used to list authorizations from oversight committees and other regulatory agencies.
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Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
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Example: The category of student might be described as having sub-types of primary school student and high school student.
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
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Example: A family of industrial classifications each a separate series (i.e. U.S. Standard Industrial Classification (SIC) and North American Industrial Classification System (NAICS)
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Example: An alphabetical index of a topically ordered Statistical Classification
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Example: In the 2012 NAICS (North American Industry Classification System) one Classification Item has the Code 23 and the Category construction.
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Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
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Example: ISIC or ISCO SIC (with different published versions related to the publication year)
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: Correspondence between the U.S. Standard Industrial Classification (SIC) and North American Industrial Classification System (NAICS)
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
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Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive
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Example: A classification series that branches into separately versioned classifications

SamplingView

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Example: A proprietary InstanceQuestion might have specific access restrictions.
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Example: Links one or more guides for the use of a sample (result) obtained in the first stage of complex sample with the unit type. A sample of Counties from which households will be selected in the next sample stage.
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Example: Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837
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Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
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Example: The category of student might be described as having sub-types of primary school student and high school student.
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
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Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
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Example: The letter M might stand for the category Male in the CodeList called Gender.
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Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
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Example: In data processing, a ComputationAction might be a code statement in a code sequence. In data capture, a ComputationAction might takes the form of a question, a measurement or instrument code.
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: A concept of vacation might be described as having sub-types of beach vacation and mountain vacation.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: 1) Concept of Sex: Male, Female, Other 2) Concept of Household Relationship: Household Head, Spouse of Household Head, Child of Household Head, Unrelated Household Member, etc.
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
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Example: Bounding box for Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837. Minnesota Land area: 206207.099 sq K, Water area: 18974.589 sq K
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Example: The State of Minnesota from 1858 to date where the Unit Type is a State as defined by the United States Census Bureau. It has a geographic extent and supersedes a portion of the Territory of Minnesota and a portion of the Territory of Wisconsin. Minnesota territory had both a broader geographic extent, different Unit Type, and earlier time period (1849-1858) as did the Territory of Wisconsin.
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Example: To further distinguish a "goal" from an "output", consider the construction of a statistic. A goal may be the construction of the statistic. The output is the statistic. The output is data. The statistic by itself -- the output -- is arguably meaningless even if we capture the process of its construction.
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Example: The applied use of a weight determined by a weighting process in analyzing a data set
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Example: An IfThenElse object describes the conditional logic in the flow of a questionnaire or other data collection instrument, where if a stated condition is met, one path is followed through the flow, and if the stated condition is met, another path is taken.
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Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: A loop is set to repeat a fixed number of times (initialValue). A stepValue is initially specified. At the end of the loop the current value is decremented by the stepValue. The current value might be the initialValue or it might be the current value after the initialValue has been decremented one or more times.
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Example: SAS program, photocopier
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Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive
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Example: A question might have dynamic text or, again, "fills". Depending on the gender of the subject, a question might say "he" or "she" and/or "him" or "her". A gender variable is passed into the question, and question code resolves the dynamic text. A computation action may be expecting a numeric array of values [result of looping an "Age in years" question through every member of a household]. isArray = "true"; valueRepresentation would link to a SubstantiveValueDomain defining a numeric value with a possible valid range; and because the parameter occurs in the context of a computation action it is necessary to specify an alias (e.g. AGE). The alias links the parameter to the code in the computation.
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Example: 1. Canadian adult persons residing in Canada on 13 November 1956 2. US computer companies at the end of 2012 3. Universities in Denmark 1 January 2011.
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Example: Using goals and preconditions processes can be chained to form work flows. Note that these work flows do not include data flows. Instead data flows consisting ouf outputs, inputs and bindings are a separate swim lane.
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Example: A RepeatUntil loop is similar to a RepeatWhile loop, except that it tests the Boolean expression after the loop rather than before. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, in a household there is at last one person and a loop might contain a block of person questions. After the first person the last question in the block might be "Anyone else in the household"? The RepeatUntil would continue iterating until there was no-one else in the household.
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Example: A RepeatWhile loop is similar to a RepeatUntil loop, except that it tests the Boolean expression before the loop rather than after. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, RepeatWhile may be used to pre-test a certain condition like if "the number of new people in a household is greater than 0" in which case a block of questions might be asked for each new person.
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Example: A listing of all business enterprises by their primary office address with information on their industry classification, work staff size, and production costs. A telephone directory. An address list of housing units.
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Example: A list of phone numbers representing a random sample from a telephone book. The Counties selected from within a State from which Households will be selected using another sampling method.
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Example: Random Sample; Stratified Random Sample
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Example: Census of Population and Housing, 1980 Summary Tape File 4, chapter on Technical Information. Overview is the Introduction generally describing the sample; there is a sample design section which provides a more detailed overview of the design. Additional external documentation provides detailed processes for sample adjustments needed for small area estimations, sample frames etc.
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Example: A Split which takes a sampling stage and divides the sample frame into different subsets. A different sampling technique is applied to each subset. Once a split occurs each subset can have stages underneath, and the number of states under each split subset may differ. A Stage is the application of a single sampling algorithm applied to a sampling frame. For instance, the US Current Population Survey samples geographic areas first before identifying household to contact within each of those areas. A Stratification of a stage into multiple subsets. Each stratified group will be sampled using the same sampling approach. For example stratifying a state by ZIP Code areas in each of 5 mean income quintiles and then doing a random sample of the households in a set of Zip Codes. Allows for oversampling of identified subpopulations.
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Example:
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Example: A GANTT chart where a number of processes running parallel to each other are all prerequisites of a subsequent step.
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Example: An enumeration of concepts for a categorical variable like "male" and "female" for gender.
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Example: All real decimal numbers relating to the subject matter of interest between 0 and 1 specified in Arabic numerals. [GSIM 1.1]. The codes "M" male and "F" for female .
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Example: Here are 3 examples - 1. Individual US person (i.e., Arofan Gregory, Dan Gillman, Barack Obama, etc.) 2. Individual US computer companies (i.e., Microsoft, Apple, IBM, etc.) 3. Individual US universities (i.e., Johns Hopkins, University of Maryland, Yale, etc.) [GSIM 1.1]
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Example: Person, Establishment, Household, State, Country, Dog, Automobile
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Example: 1. Canadian adults (not limited to those residing in Canada) 2. Computer companies 3. Universities
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Example: Example 1) The integers between 1 and 10 inclusive. The values of x satisfying the logicalExpression property: " (1 <=x <= 10) AND mod(x,10)=0" Also described with minimumValueInclusive = 1 and maximumValueInclusive = 10 (and datatype of integer) Example 2) The upper case letters A through C and X described with the regularExpression "/[A-CX]/" Example 3) A date-time described with the Unicode Locale Data Markup Language pattern yyyy.MM.dd G 'at' HH:mm:ss zzz
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Example: A common example is of a Questionnaire that has multiple blocks (sequences) of InstrumentComponents (InstanceQuestion, Statement, etc.) that are reused in various orders. The U.S. Current Population Survey has a block of standard demographic questions as well as specialized blocks of questions that are fielded periodically generally in a given month (ex. School Enrollment fielded in September). In a data capture multiple instruments might be administered in a certain order. A WorkflowMasterSequence describes this order. Note that in this example successive instruments cannot begin before a previous instrument ends: this would NOT be a SimpleSucession. In a Demographic Surveillance Business Process Model there is BusinessProcess that identifies data quality issues. This BusinessProcess has a WorkflowMasterSequence that includes a succession of WorkflowStepSequences. Each WorkflowStepSequence performs the work of identifying a specific data quality issue. The WorkflowMasterSequence determines the order in which each data quality issue is identified. When the order is consequential the WorkflowMasterSequence isOrdered property is set to true.
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Example: A specification for an air flow monitor used to capture a measure for an ImplementedMeasure (a subtype of Act).
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Example: A WorkflowStepSequence can be used to describe the flow of questions in a questionnaire. A WorkflowStepSequence can be used to decompose a BusinessProcess like data integration or anonymization into a series of steps.

DescriptiveCodebookView

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Example: A proprietary InstanceQuestion might have specific access restrictions.
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Example: Organizations contributing to a project. Individuals within an agency. All organizations, indivduals, and machines identified within the collections of an archive.
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Example: An individual employed by an Organization. A unit or project (organization) within another Organization.
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
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Example: May be used to list authorizations from oversight committees and other regulatory agencies.
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Example: Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837
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Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
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Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
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Example: The letter M might stand for the category Male in the CodeList called Gender.
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Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: A survey might have ask people about motels they stayed in (topical coverage) in the year 2015 (temporal coverage), while they were travelling in Kansas (spatial coverage). This is different than the temporal, and spatial attributes of the population studied – (international travelers to the US surveyed in 2017).
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Example: A cell in a spreadsheet table. Note that this could be empty. It exists independently of the value to be stored in it.
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Example: The data lineage of an individual BusinessProcess or an entire DataPipeline are both examples of a LogicalRecordRelationStructures. In a data lineage we can observe how LogicalRecords are connected within a BusinessProcess or across BusinessProcesses.
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Example: A systolic blood pressure of 122 is measured. The Signifier for that measurement in this paragraph is the character string "122". The Datum in this case is a kind of Designation (Sign), which is the association of the underlying measured concept (a blood pressure at that level) with that Signifier. The Datum has an association with an InstanceVariable which allows the attachment of a unit of measurement (mm Hg), a datatype, a Population, and the Act which produced the measurement. These InstanceVariable attributes are critical for interpreting the Signifier.
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Example: Image, link, external aid, stimulus, physical object.
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
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Example: A "millionaire grant" (funding description) from John Beresford Tipton, Jr. (individual). Exploration of the effect of sudden wealth and basis for a television episode (funder role).
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Example: Bounding box for Burkino Faso: (N) 15.082773; (S) 9.395691; (E) 2.397927; (W) -5.520837. Minnesota Land area: 206207.099 sq K, Water area: 18974.589 sq K
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Example: The State of Minnesota from 1858 to date where the Unit Type is a State as defined by the United States Census Bureau. It has a geographic extent and supersedes a portion of the Territory of Minnesota and a portion of the Territory of Wisconsin. Minnesota territory had both a broader geographic extent, different Unit Type, and earlier time period (1849-1858) as did the Territory of Wisconsin.
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
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Example: Two versions of a conceptual instrument, computer assisted personal interviewing (CAPI) and mail, would be separate ImplementedInstruments. These might both reference the same ConceptualInstrument. A piece of equipment used to measure blood pressure.
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Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
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Example: 1) Gender: Dan Gillman has gender , Arofan Gregory has gender, etc. 2) Number of employees: Microsoft has 90,000 employees; IBM has 433,000 employees, etc. 3) Endowment: Johns Hopkins has endowment of <3, $1,000,000 and above>, Yale has endowment of <3, $1,000,000 and above>, etc. Two InstanceVariables of a person's height reference the same RepresentedVariable. This indicates that they are intended to: be measured with the same unit of measurement, have the same intended data type, have the same SubstantativeValueDomain, use a SentinelValueDomain drawn from the same set of SentinelValueDomains, have the same sentinel (missing value) concepts, and draw their Population from the same Universe. In other words, the two InstanceVariables should be comparable.
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Example: The HL7 FHIR (Fast Healthcare Interoperability Resources) EHR is a non-homogeneous, hierarchical, recursive aggregate datatype. The openEHR archetypes that are one component in an EHR are non-homogeneous, hierarchical, non-recursive aggregate datatypes.
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Example: Completion instructions in self-administered mail questionnaire, information for administering a blood pressure measurement, interviewer instructions for a CATI questionnaire, guidance for communicating between an interviewer and a respondent (note MIDUS cognitive assessment example).
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: A DataStore with a Household, Family, and Person LogicalRecord type. Allows for describing parent/child, whole/part, or other relationships as appropriate
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Example: SAS program, photocopier
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
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Example: The target of the relationship from Study: "hasMethodology"
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Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive
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Example: The PhysicalDataProduct is the entry point for information about a file or other source. It includes information about the name of a file, the structure of segments in a file and the layout of segments.
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Example: The W3C Tabular Data on the Web specification allows for a list datatype. In the example below there are three top level InstanceVariables PersonID – the person identifier AgeYr – age in year BpSys_Dia – blood pressure (a list containing Systolic and Diastolic values) There are two variables at a secondary level of the hierarchy Systolic – the systolic pressure Diastolic – the diastolic pressure The delimited file below uses the comma to separate "columns" and forward slash to separate elements of a blood pressure list. PersonID, AgeYr, BpSys_Dia 1,22,119/67 2,68,122/70 The PhysicalRelationStructure in this case would describe a BpSys_Dia list variable as containing an ordered sequence of the Systolic and Diastolic InstanceVariables.
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Example: The file below has four InstanceVariables: PersonId, SegmentId, AgeYr, HeightCm. The data for each person (identified by PersonId) is recorded in two segments (identified by SegmentId), "a" and "b". AgeYr is on physical segment a, and HeightCm is on segment b. These are the same data as described in the UnitSegmentLayout documentation. 1 a 22 1 b 183 2 a 45 2 b 175
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Example: 1. Canadian adult persons residing in Canada on 13 November 1956 2. US computer companies at the end of 2012 3. Universities in Denmark 1 January 2011.
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Example: In descriptive document regarding ingest of a study into a repository: "Validation processes were run comparing all data against the provided documentation to check for out-of-range and invalid content."
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Example:
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Example: One LogicalRecord containing a PersonIdentifier and a PersonName and another LogicalRecord containing a MeasurementID, a PersonID, a SystolicPressure, and a DiastolicPressure could be linked by a RecordRelation. The RecordRelation could employ an InstanceVariableValueMap to describe the linkage between PersonIdentifier and PersonID.
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Example: A measure providing a geographic point; A blood pressure protocol; A protocol for measuring an ocean current
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Example: A question in a question bank such as the content and format for a question on Race for all survey/censuses fielded by U.S. agencies as prescribed by the U.S. Office of Management and Budget (OMB)
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Example: Census of Population and Housing, 1980 Summary Tape File 4, chapter on Technical Information. Overview is the Introduction generally describing the sample; there is a sample design section which provides a more detailed overview of the design. Additional external documentation provides detailed processes for sample adjustments needed for small area estimations, sample frames etc.
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Example: The segment beginning at line 3, character 4 and ending at line 27 character 13. Alternatively the segment beginning at character 257 and ending at character 1350 of the whole body of text. StartLine of 10, endLine of 12, startCharacterPosition of 1, endCharacterPosition of 0 means all of lines 10,11, and 12.
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Example: Refused, Don't know, Lost in processing
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Version: 1
Example: Missing categories expressed as Codes <-9, refused>; <-8, Don't Know> for a numeric variable with values greater than zero.
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Example: A country, a neighborhood, the inside of a polygon on the surface of the earth, along a street, at a particular intersection, or perhaps even in a certain orbit around the planet Mars. For a data set within a study this may be used to define the geographic restriction of the data set within the geographic coverage of the study (eg. The study may cover all of Sweden but the spatial coverage of the data set is Stockholm).
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Example:
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Example: A simple sample survey without an individual weight variable will have a StandardWeight to be used on all cases: 1% sample has a sample weight of 100
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Example: ICPSR study 35575 Americans and the Arts [1973 - 1992] (ICPSR 35575). https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/35575?dataFormat%5B0%5D=SAS&keyword%5B0%5D=public+opinion&geography%5B0%5D=United+States&searchSource=revise
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Example:
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Example: An annual series of surveys.
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Example: An enumeration of concepts for a categorical variable like "male" and "female" for gender.
Status: Proposal in progress
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Version: 1
Example: All real decimal numbers relating to the subject matter of interest between 0 and 1 specified in Arabic numerals. [GSIM 1.1]. The codes "M" male and "F" for female .
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Example:
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Example:
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Example: Here are 3 examples - 1. Individual US person (i.e., Arofan Gregory, Dan Gillman, Barack Obama, etc.) 2. Individual US computer companies (i.e., Microsoft, Apple, IBM, etc.) 3. Individual US universities (i.e., Johns Hopkins, University of Maryland, Yale, etc.) [GSIM 1.1]
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Example: The UnitDataRecord can be used to specify the structure of a table in a relational database. It can be used to specify the structure of both the fact and dimension tables in a data warehouse. It can be used to specify the structure of a big data table. Likewise it can be used to specify the structures of "column-based" and "row-based" tables. The UnitDataRecord may also form an information model if it is a StructuredCollection. Blood Pressure as described by an openEHR archetype is an information model. So is a collection of FHIR (HL7) resources that form an Electronic Health Record (EHR).
Status: Proposal in progress
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Example: Assigning PatientID the role of identifier systolic the role of measure diastolic the role of measure device the role of attribute time the role of attribute position (sitting, standing) the role of attribute
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Example: A simple spreadsheet. Commonly the first row of the table will contain variable names or descriptions. The following csv file has a rectangular layout and would import into a simple table in a spreadsheet: PersonId,AgeYr,HeightCm 1,22,183 2,45,175
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Person, Establishment, Household, State, Country, Dog, Automobile
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Example: 1. Canadian adults (not limited to those residing in Canada) 2. Computer companies 3. Universities
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Example: Example 1) The integers between 1 and 10 inclusive. The values of x satisfying the logicalExpression property: " (1 <=x <= 10) AND mod(x,10)=0" Also described with minimumValueInclusive = 1 and maximumValueInclusive = 10 (and datatype of integer) Example 2) The upper case letters A through C and X described with the regularExpression "/[A-CX]/" Example 3) A date-time described with the Unicode Locale Data Markup Language pattern yyyy.MM.dd G 'at' HH:mm:ss zzz
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Example: A variable "age" might be represented in a file as a string with a maximum length of 5 characters and a number pattern of ##0.0
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Example: Variables within a specific section of a study, Variables related to a specific subject or keyword. Variables at a specified level of development or review.
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Example:
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Example: A mean of values for a variable "Height". Counts for each level of variable "Gender" (male and female)

DataManagementView

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Example:
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Example: There are several well-established algorithms for performing data anonymization including "local suppression", "global attribute generalization" and "k-Anonymization with suppression" which is a specific combination of the two. An anonymizing business process might implement one of these algorithms.
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Example: In a single BusinessProcess we might receive data from a data source or merge data from different data sources or create new variables and recodes or format data for data dissemination
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Example: In data processing, a ComputationAction might be a code statement in a code sequence. In data capture, a ComputationAction might takes the form of a question, a measurement or instrument code.
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: A survey might have ask people about motels they stayed in (topical coverage) in the year 2015 (temporal coverage), while they were travelling in Kansas (spatial coverage). This is different than the temporal, and spatial attributes of the population studied – (international travelers to the US surveyed in 2017).
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Example: In a study where the study is a wave in a StudySeries, we do a single traversal of the Generic Longitudinal Business Process Model. From one wave to the next the traversal may be different. Each traversal is described in a DataPipeline. Extract Transform and Load (ETL) platforms support data pipelines to move data between systems. Using an ETL platform, data engineers create data pipelines to orchestrate the movement, transformation, validation, and loading of data, from source to final destination. The DataPipeline describes this "orchestration". A prospective DataPipeline gives guidance to data engineers. It is a design pattern. A retrospective DataPipeline documents an ETL data pipeline after the fact.
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Example: The data lineage of an individual BusinessProcess or an entire DataPipeline are both examples of a LogicalRecordRelationStructures. In a data lineage we can observe how LogicalRecords are connected within a BusinessProcess or across BusinessProcesses.
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Example:
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
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Example: An IfThenElse object describes the conditional logic in the flow of a questionnaire or other data collection instrument, where if a stated condition is met, one path is followed through the flow, and if the stated condition is met, another path is taken.
Status: Proposal in progress
Stage: Content Review
Version: 0
Example: 1) Gender: Dan Gillman has gender , Arofan Gregory has gender, etc. 2) Number of employees: Microsoft has 90,000 employees; IBM has 433,000 employees, etc. 3) Endowment: Johns Hopkins has endowment of <3, $1,000,000 and above>, Yale has endowment of <3, $1,000,000 and above>, etc. Two InstanceVariables of a person's height reference the same RepresentedVariable. This indicates that they are intended to: be measured with the same unit of measurement, have the same intended data type, have the same SubstantativeValueDomain, use a SentinelValueDomain drawn from the same set of SentinelValueDomains, have the same sentinel (missing value) concepts, and draw their Population from the same Universe. In other words, the two InstanceVariables should be comparable.
Status: Proposal in progress
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Example: The HL7 FHIR (Fast Healthcare Interoperability Resources) EHR is a non-homogeneous, hierarchical, recursive aggregate datatype. The openEHR archetypes that are one component in an EHR are non-homogeneous, hierarchical, non-recursive aggregate datatypes.
Status: Proposal in progress
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Example: A DataStore with a Household, Family, and Person LogicalRecord type. Allows for describing parent/child, whole/part, or other relationships as appropriate
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Example: A loop is set to repeat a fixed number of times (initialValue). A stepValue is initially specified. At the end of the loop the current value is decremented by the stepValue. The current value might be the initialValue or it might be the current value after the initialValue has been decremented one or more times.
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Example: Some data management systems present users with a menu of actions they can use in a sequence to perform a specific task. The system engages the user in a dialog driven by an action template. The dialog completes the template which the system then uses to perform the action. The user doesn't write any code.
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Example: The target of the relationship from Study: "hasMethodology"
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Example: A question might have dynamic text or, again, "fills". Depending on the gender of the subject, a question might say "he" or "she" and/or "him" or "her". A gender variable is passed into the question, and question code resolves the dynamic text. A computation action may be expecting a numeric array of values [result of looping an "Age in years" question through every member of a household]. isArray = "true"; valueRepresentation would link to a SubstantiveValueDomain defining a numeric value with a possible valid range; and because the parameter occurs in the context of a computation action it is necessary to specify an alias (e.g. AGE). The alias links the parameter to the code in the computation.
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Example: A RepeatUntil loop is similar to a RepeatWhile loop, except that it tests the Boolean expression after the loop rather than before. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, in a household there is at last one person and a loop might contain a block of person questions. After the first person the last question in the block might be "Anyone else in the household"? The RepeatUntil would continue iterating until there was no-one else in the household.
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Example: A RepeatWhile loop is similar to a RepeatUntil loop, except that it tests the Boolean expression before the loop rather than after. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, RepeatWhile may be used to pre-test a certain condition like if "the number of new people in a household is greater than 0" in which case a block of questions might be asked for each new person.
Status: Proposal in progress
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Version: 1
Example: A country, a neighborhood, the inside of a polygon on the surface of the earth, along a street, at a particular intersection, or perhaps even in a certain orbit around the planet Mars. For a data set within a study this may be used to define the geographic restriction of the data set within the geographic coverage of the study (eg. The study may cover all of Sweden but the spatial coverage of the data set is Stockholm).
Status: Proposal in progress
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Version: 1
Example:
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Example: A GANTT chart where a number of processes running parallel to each other are all prerequisites of a subsequent step.
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Example: Data Integration might combine multiple data source and make multiple data products. This sequence would have several starting points and terminate in multiple endpoints.
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Example: ICPSR study 35575 Americans and the Arts [1973 - 1992] (ICPSR 35575). https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/35575?dataFormat%5B0%5D=SAS&keyword%5B0%5D=public+opinion&geography%5B0%5D=United+States&searchSource=revise
Status: Proposal in progress
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Version: 1
Example:
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Example:
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Example: The UnitDataRecord can be used to specify the structure of a table in a relational database. It can be used to specify the structure of both the fact and dimension tables in a data warehouse. It can be used to specify the structure of a big data table. Likewise it can be used to specify the structures of "column-based" and "row-based" tables. The UnitDataRecord may also form an information model if it is a StructuredCollection. Blood Pressure as described by an openEHR archetype is an information model. So is a collection of FHIR (HL7) resources that form an Electronic Health Record (EHR).
Status: Proposal in progress
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Example: A common example is of a Questionnaire that has multiple blocks (sequences) of InstrumentComponents (InstanceQuestion, Statement, etc.) that are reused in various orders. The U.S. Current Population Survey has a block of standard demographic questions as well as specialized blocks of questions that are fielded periodically generally in a given month (ex. School Enrollment fielded in September). In a data capture multiple instruments might be administered in a certain order. A WorkflowMasterSequence describes this order. Note that in this example successive instruments cannot begin before a previous instrument ends: this would NOT be a SimpleSucession. In a Demographic Surveillance Business Process Model there is BusinessProcess that identifies data quality issues. This BusinessProcess has a WorkflowMasterSequence that includes a succession of WorkflowStepSequences. Each WorkflowStepSequence performs the work of identifying a specific data quality issue. The WorkflowMasterSequence determines the order in which each data quality issue is identified. When the order is consequential the WorkflowMasterSequence isOrdered property is set to true.
Status: Proposal in progress
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Example: WorkflowStepRelationStructures are useful in the context of data transformations and data products. Imagine a network of data transformations. One WorkflowStepRelationStructure could describe this network in a forward direction, Another WorkflowStepRelationStructure could describe this network in a backward direction. Looking backward, we can use this network to identify the antecedents of a particular data product. Looking forward, we can use this network to determine the effect(s) of a single or a combination of data transformations. If we had rendered these networks using XML, we might use xpath queries to look upstream or downstream in a network. Looking upstream we might document provenance or, again data lineage. If we render these networks in RDF, then we can write comparable SPARQL queries.
Status: Proposal in progress
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Example: A WorkflowStepSequence can be used to describe the flow of questions in a questionnaire. A WorkflowStepSequence can be used to decompose a BusinessProcess like data integration or anonymization into a series of steps.

DataDescriptionView

Status: Proposal in progress
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
Status: Proposal in progress
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Version: 1
Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
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Example: The category of student might be described as having sub-types of primary school student and high school student.
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
Status: Proposal in progress
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Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
Status: Proposal in progress
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Example: The letter M might stand for the category Male in the CodeList called Gender.
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Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
Status: Proposal in progress
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
Status: Proposal in progress
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Version: 1
Example: A concept of vacation might be described as having sub-types of beach vacation and mountain vacation.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: 1) Concept of Sex: Male, Female, Other 2) Concept of Household Relationship: Household Head, Spouse of Household Head, Child of Household Head, Unrelated Household Member, etc.
Status: Proposal in progress
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Version: 0
Example: A cell in a spreadsheet table. Note that this could be empty. It exists independently of the value to be stored in it.
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Example:
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Example: The data lineage of an individual BusinessProcess or an entire DataPipeline are both examples of a LogicalRecordRelationStructures. In a data lineage we can observe how LogicalRecords are connected within a BusinessProcess or across BusinessProcesses.
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Example: A StudySeries is a time series and a DataStoreRelationStructure is dedicated to tracking "supplements". There is a study at T0. Perhaps it is never executed. It is the "core" study. At T1 there is a study that includes the core and Supplement A. At T2 there is a study that includes the core, Supplement A and Supplement B. At T3 there is a study that includes the core and a one off supplement that is never asked again. T4 though T6 repeats T1 through T3.
Status: Proposal in progress
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Example: If the succession of DataStores are created by a StudySeries that is a time series, from one DataStore to the next part/whole relations can obtain as supplements are added and subtracted.
Status: Proposal in progress
Stage: Content Review
Version: 0
Example: A systolic blood pressure of 122 is measured. The Signifier for that measurement in this paragraph is the character string "122". The Datum in this case is a kind of Designation (Sign), which is the association of the underlying measured concept (a blood pressure at that level) with that Signifier. The Datum has an association with an InstanceVariable which allows the attachment of a unit of measurement (mm Hg), a datatype, a Population, and the Act which produced the measurement. These InstanceVariable attributes are critical for interpreting the Signifier.
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
Status: Proposal in progress
Stage: Content Review
Version: 0
Example: 1) Gender: Dan Gillman has gender , Arofan Gregory has gender, etc. 2) Number of employees: Microsoft has 90,000 employees; IBM has 433,000 employees, etc. 3) Endowment: Johns Hopkins has endowment of <3, $1,000,000 and above>, Yale has endowment of <3, $1,000,000 and above>, etc. Two InstanceVariables of a person's height reference the same RepresentedVariable. This indicates that they are intended to: be measured with the same unit of measurement, have the same intended data type, have the same SubstantativeValueDomain, use a SentinelValueDomain drawn from the same set of SentinelValueDomains, have the same sentinel (missing value) concepts, and draw their Population from the same Universe. In other words, the two InstanceVariables should be comparable.
Status: Proposal in progress
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Example: The HL7 FHIR (Fast Healthcare Interoperability Resources) EHR is a non-homogeneous, hierarchical, recursive aggregate datatype. The openEHR archetypes that are one component in an EHR are non-homogeneous, hierarchical, non-recursive aggregate datatypes.
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: A DataStore with a Household, Family, and Person LogicalRecord type. Allows for describing parent/child, whole/part, or other relationships as appropriate
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Example: A data record with four variables: "PersonId", "Systolic", "Diastolic", "Seated" might have a Viewpoint with PersonId defined as having the IdentifierRole Systolic defined as having the MeasureRole Diastolic defined as having the MeasureRole Seated defined as having the AttributeRole PersonId, Systolic, Diastolic, Seated 123,122,20,yes 145,130,90,no
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Example: The PhysicalDataProduct is the entry point for information about a file or other source. It includes information about the name of a file, the structure of segments in a file and the layout of segments.
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Example: The W3C Tabular Data on the Web specification allows for a list datatype. In the example below there are three top level InstanceVariables PersonID – the person identifier AgeYr – age in year BpSys_Dia – blood pressure (a list containing Systolic and Diastolic values) There are two variables at a secondary level of the hierarchy Systolic – the systolic pressure Diastolic – the diastolic pressure The delimited file below uses the comma to separate "columns" and forward slash to separate elements of a blood pressure list. PersonID, AgeYr, BpSys_Dia 1,22,119/67 2,68,122/70 The PhysicalRelationStructure in this case would describe a BpSys_Dia list variable as containing an ordered sequence of the Systolic and Diastolic InstanceVariables.
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Example:
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Example: The file below has four InstanceVariables: PersonId, SegmentId, AgeYr, HeightCm. The data for each person (identified by PersonId) is recorded in two segments (identified by SegmentId), "a" and "b". AgeYr is on physical segment a, and HeightCm is on segment b. These are the same data as described in the UnitSegmentLayout documentation. 1 a 22 1 b 183 2 a 45 2 b 175
Status: Proposal in progress
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Example: 1. Canadian adult persons residing in Canada on 13 November 1956 2. US computer companies at the end of 2012 3. Universities in Denmark 1 January 2011.
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Example: One LogicalRecord containing a PersonIdentifier and a PersonName and another LogicalRecord containing a MeasurementID, a PersonID, a SystolicPressure, and a DiastolicPressure could be linked by a RecordRelation. The RecordRelation could employ an InstanceVariableValueMap to describe the linkage between PersonIdentifier and PersonID.
Status: Proposal in progress
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Version: 1
Example: The segment beginning at line 3, character 4 and ending at line 27 character 13. Alternatively the segment beginning at character 257 and ending at character 1350 of the whole body of text. StartLine of 10, endLine of 12, startCharacterPosition of 1, endCharacterPosition of 0 means all of lines 10,11, and 12.
Status: Proposal in progress
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Version: 1
Example: Refused, Don't know, Lost in processing
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Missing categories expressed as Codes <-9, refused>; <-8, Don't Know> for a numeric variable with values greater than zero.
Status: Proposal in progress
Stage: Content Review
Version:
Example: An enumeration of concepts for a categorical variable like "male" and "female" for gender.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: All real decimal numbers relating to the subject matter of interest between 0 and 1 specified in Arabic numerals. [GSIM 1.1]. The codes "M" male and "F" for female .
Status: Proposal in progress
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Example: The UnitDataRecord can be used to specify the structure of a table in a relational database. It can be used to specify the structure of both the fact and dimension tables in a data warehouse. It can be used to specify the structure of a big data table. Likewise it can be used to specify the structures of "column-based" and "row-based" tables. The UnitDataRecord may also form an information model if it is a StructuredCollection. Blood Pressure as described by an openEHR archetype is an information model. So is a collection of FHIR (HL7) resources that form an Electronic Health Record (EHR).
Status: Proposal in progress
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Example: Assigning PatientID the role of identifier systolic the role of measure diastolic the role of measure device the role of attribute time the role of attribute position (sitting, standing) the role of attribute
Status: Proposal in progress
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Example: A simple spreadsheet. Commonly the first row of the table will contain variable names or descriptions. The following csv file has a rectangular layout and would import into a simple table in a spreadsheet: PersonId,AgeYr,HeightCm 1,22,183 2,45,175
Status: Proposal in progress
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Version: 1
Example: Example 1) The integers between 1 and 10 inclusive. The values of x satisfying the logicalExpression property: " (1 <=x <= 10) AND mod(x,10)=0" Also described with minimumValueInclusive = 1 and maximumValueInclusive = 10 (and datatype of integer) Example 2) The upper case letters A through C and X described with the regularExpression "/[A-CX]/" Example 3) A date-time described with the Unicode Locale Data Markup Language pattern yyyy.MM.dd G 'at' HH:mm:ss zzz
Status: Proposal in progress
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Version: 1
Example: A variable "age" might be represented in a file as a string with a maximum length of 5 characters and a number pattern of ##0.0

DataCaptureInstrumentView

Status: Proposal in progress
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Example:
Status: Proposal in progress
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Version: 1
Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
Status: Proposal in progress
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
Status: Proposal in progress
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Example: The letter M might stand for the category Male in the CodeList called Gender.
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Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
Status: Proposal in progress
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Example:
Status: Proposal in progress
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Example: In data processing, a ComputationAction might be a code statement in a code sequence. In data capture, a ComputationAction might takes the form of a question, a measurement or instrument code.
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
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Example: Design of a questionnaire regardless of mode; Design of an experiment
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Example: 1. Sex of person 2. Number of employees 3. Value of endowment
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Example: Image, link, external aid, stimulus, physical object.
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
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Version: 1
Example: An IfThenElse object describes the conditional logic in the flow of a questionnaire or other data collection instrument, where if a stated condition is met, one path is followed through the flow, and if the stated condition is met, another path is taken.
Status: Proposal in progress
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Example: Two versions of a conceptual instrument, computer assisted personal interviewing (CAPI) and mail, would be separate ImplementedInstruments. These might both reference the same ConceptualInstrument. A piece of equipment used to measure blood pressure.
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Example:
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Example: “How old are you?”
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Example: Completion instructions in self-administered mail questionnaire, information for administering a blood pressure measurement, interviewer instructions for a CATI questionnaire, guidance for communicating between an interviewer and a respondent (note MIDUS cognitive assessment example).
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Example: quality control, edit check, checksums, compute filler text, compute values for use in administering the instrument
Status: Proposal in progress
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
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Example: A loop is set to repeat a fixed number of times (initialValue). A stepValue is initially specified. At the end of the loop the current value is decremented by the stepValue. The current value might be the initialValue or it might be the current value after the initialValue has been decremented one or more times.
Status: Proposal in progress
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Example: Systolic blood pressure level, as an integer from 0 to 200
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Example:
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Example: A RepeatUntil loop is similar to a RepeatWhile loop, except that it tests the Boolean expression after the loop rather than before. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, in a household there is at last one person and a loop might contain a block of person questions. After the first person the last question in the block might be "Anyone else in the household"? The RepeatUntil would continue iterating until there was no-one else in the household.
Status: Proposal in progress
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Example: A RepeatWhile loop is similar to a RepeatUntil loop, except that it tests the Boolean expression before the loop rather than after. Thus, a RepeatUntil loop always executes the loop once, whereas if the Boolean expression is initially False, a RepeatWhile loop does not execute the loop at all. For example, RepeatWhile may be used to pre-test a certain condition like if "the number of new people in a household is greater than 0" in which case a block of questions might be asked for each new person.
Status: Proposal in progress
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Version: 1
Example: A measure providing a geographic point; A blood pressure protocol; A protocol for measuring an ocean current
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Example: A question in a question bank such as the content and format for a question on Race for all survey/censuses fielded by U.S. agencies as prescribed by the U.S. Office of Management and Budget (OMB)
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Example: The pair (Number of Employees, Integer), where "Number of Employees" is the characteristic of the population (Variable) and "Integer" is how that measure will be represented (Value Domain).
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Example:
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Introductory text; Explanations; Labels, Headers, Help screens, etc. "Thank you for agreeing to take this survey. We will start with a brief set of demographic questions." "The following set of questions are related to your household income. Please consider all members of the household and all sources of income when answering these questions."
Status: Proposal in progress
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Example: Collecting the first name on an individual in an open ended text field
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Person, Establishment, Household, State, Country, Dog, Automobile
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Example: 1. Canadian adults (not limited to those residing in Canada) 2. Computer companies 3. Universities
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Example: A common example is of a Questionnaire that has multiple blocks (sequences) of InstrumentComponents (InstanceQuestion, Statement, etc.) that are reused in various orders. The U.S. Current Population Survey has a block of standard demographic questions as well as specialized blocks of questions that are fielded periodically generally in a given month (ex. School Enrollment fielded in September). In a data capture multiple instruments might be administered in a certain order. A WorkflowMasterSequence describes this order. Note that in this example successive instruments cannot begin before a previous instrument ends: this would NOT be a SimpleSucession. In a Demographic Surveillance Business Process Model there is BusinessProcess that identifies data quality issues. This BusinessProcess has a WorkflowMasterSequence that includes a succession of WorkflowStepSequences. Each WorkflowStepSequence performs the work of identifying a specific data quality issue. The WorkflowMasterSequence determines the order in which each data quality issue is identified. When the order is consequential the WorkflowMasterSequence isOrdered property is set to true.
Status: Proposal in progress
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Example: A WorkflowStepSequence can be used to describe the flow of questions in a questionnaire. A WorkflowStepSequence can be used to decompose a BusinessProcess like data integration or anonymization into a series of steps.

CustomMetadataView

Status: Proposal in progress
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Version: 1
Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
Status: Proposal in progress
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Example: The category of student might be described as having sub-types of primary school student and high school student.
Status: Proposal in progress
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Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: A ClassificationRelationStructure for ISCO-08 would describe each of the major classifications as a parent of its sub-classifications. 1 Managers, for example would be listed as a parent of four sub groups: 11 Chief Executives, Senior Officials and Legislators; 12 Chief Executives, Senior Officials and Legislators; 13 Production and Specialized Services Managers; and 14 Hospitality, Retail and Other Services Managers.
Status: Proposal in progress
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Version: 2
Example: The letter M might stand for the category Male in the CodeList called Gender.
Status: Proposal in progress
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Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
Status: Proposal in progress
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Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: A concept of vacation might be described as having sub-types of beach vacation and mountain vacation.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: 1) Concept of Sex: Male, Female, Other 2) Concept of Household Relationship: Household Head, Spouse of Household Head, Child of Household Head, Unrelated Household Member, etc.
Status: Proposal in progress
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Version: 1
Example: A set of OMB required information about a question. The set of openEHR protocol information to be attached to a blood pressure Capture
Status: Proposal in progress
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Example: DegreeOfBurden for a question as required by the U.S. OMB. BloodPressureCuffSize - the size of a blood pressure cuff specified for a particular protocol.
Status: Proposal in progress
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Example:
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Example: The set of CustomItems which are to be used to document the OMB required information for a question. The set of CustomItems used to describe an openEHR blood pressure protocol.
Status: Proposal in progress
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Example: OMBBurden,"High" openEHRBPposition, "upper arm"
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
Stage: Content Review
Version: 0
Example: 1) Gender: Dan Gillman has gender , Arofan Gregory has gender, etc. 2) Number of employees: Microsoft has 90,000 employees; IBM has 433,000 employees, etc. 3) Endowment: Johns Hopkins has endowment of <3, $1,000,000 and above>, Yale has endowment of <3, $1,000,000 and above>, etc. Two InstanceVariables of a person's height reference the same RepresentedVariable. This indicates that they are intended to: be measured with the same unit of measurement, have the same intended data type, have the same SubstantativeValueDomain, use a SentinelValueDomain drawn from the same set of SentinelValueDomains, have the same sentinel (missing value) concepts, and draw their Population from the same Universe. In other words, the two InstanceVariables should be comparable.
Status: Proposal in progress
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Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
Status: Proposal in progress
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Example: The pair (Number of Employees, Integer), where "Number of Employees" is the characteristic of the population (Variable) and "Integer" is how that measure will be represented (Value Domain).
Status: Proposal in progress
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Version: 1
Example: Refused, Don't know, Lost in processing
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Missing categories expressed as Codes <-9, refused>; <-8, Don't Know> for a numeric variable with values greater than zero.
Status: Proposal in progress
Stage: Content Review
Version:
Example: An enumeration of concepts for a categorical variable like "male" and "female" for gender.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: All real decimal numbers relating to the subject matter of interest between 0 and 1 specified in Arabic numerals. [GSIM 1.1]. The codes "M" male and "F" for female .
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Person, Establishment, Household, State, Country, Dog, Automobile
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: 1. Canadian adults (not limited to those residing in Canada) 2. Computer companies 3. Universities
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: Example 1) The integers between 1 and 10 inclusive. The values of x satisfying the logicalExpression property: " (1 <=x <= 10) AND mod(x,10)=0" Also described with minimumValueInclusive = 1 and maximumValueInclusive = 10 (and datatype of integer) Example 2) The upper case letters A through C and X described with the regularExpression "/[A-CX]/" Example 3) A date-time described with the Unicode Locale Data Markup Language pattern yyyy.MM.dd G 'at' HH:mm:ss zzz

ControlledVocabularyView

Status: Proposal in progress
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Version: 1
Example:
Status: Proposal in progress
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
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Version: 1
Example: aunt - The female sibling of a parent
Status: Proposal in progress
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Version: 1
Example:

ConceptualContentView

Status: Proposal in progress
Stage: Proposal
Version: 1
Example: Self-identified as "Male". "Extremely Satisfied" as a response category.
Status: Proposal in progress
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Version:
Example: The category of student might be described as having sub-types of primary school student and high school student.
Status: Proposal in progress
Stage: Proposal
Version:
Example: "Male" and "Female" categories in a CategorySet named "Gender" A CategorySet for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers) without an associated Code List.
Status: Proposal in progress
Stage: Proposal
Version:
Example: The codes "M" and "F" could point to "Male" and "Female" categories respectively. A CodeList for an occupational classification system like ISCO-08 could use a ClassificationRelationStructure to describe a hierarchy (Chief Executives and Administrative and Commercial Managers as subtypes of Managers)
Status: Proposal in progress
Stage: Proposal
Version:
Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: A concept of vacation might be described as having sub-types of beach vacation and mountain vacation.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: 1) Concept of Sex: Male, Female, Other 2) Concept of Household Relationship: Household Head, Spouse of Household Head, Child of Household Head, Unrelated Household Member, etc.
Status: Proposal in progress
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Version: 1
Example: Correspondence between the concepts used to define the populations in the censuses of two countries with similarity mapping of Concepts "Resident Population", "Labor Force", "Housing Unit", etc.
Status: Proposal in progress
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Example: 1. Sex of person 2. Number of employees 3. Value of endowment
Status: Proposal in progress
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Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
Stage: Content Review
Version:
Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
Status: Proposal in progress
Stage: Proposal
Version:
Example: ISCO-08 (Major, Sub-Major, and Minor) or NAICS (2 digit sector codes, 3 digit subsector code list, 4 digit industry group code list, and 5 digit industry code list)
Status: Proposal in progress
Stage: Content Review
Version:
Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive
Status: Proposal in progress
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Version: 1
Example: 1. Canadian adult persons residing in Canada on 13 November 1956 2. US computer companies at the end of 2012 3. Universities in Denmark 1 January 2011.
Status: Proposal in progress
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Example: The pair (Number of Employees, Integer), where "Number of Employees" is the characteristic of the population (Variable) and "Integer" is how that measure will be represented (Value Domain).
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: Refused, Don't know, Lost in processing
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Missing categories expressed as Codes <-9, refused>; <-8, Don't Know> for a numeric variable with values greater than zero.
Status: Proposal in progress
Stage: Content Review
Version:
Example: An enumeration of concepts for a categorical variable like "male" and "female" for gender.
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: All real decimal numbers relating to the subject matter of interest between 0 and 1 specified in Arabic numerals. [GSIM 1.1]. The codes "M" male and "F" for female .
Status: Proposal in progress
Stage: Content Review
Version: 0
Example: Here are 3 examples - 1. Individual US person (i.e., Arofan Gregory, Dan Gillman, Barack Obama, etc.) 2. Individual US computer companies (i.e., Microsoft, Apple, IBM, etc.) 3. Individual US universities (i.e., Johns Hopkins, University of Maryland, Yale, etc.) [GSIM 1.1]
Status: Proposal in progress
Stage: Content Review
Version: 1
Example: Person, Establishment, Household, State, Country, Dog, Automobile
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: 1. Canadian adults (not limited to those residing in Canada) 2. Computer companies 3. Universities
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: Example 1) The integers between 1 and 10 inclusive. The values of x satisfying the logicalExpression property: " (1 <=x <= 10) AND mod(x,10)=0" Also described with minimumValueInclusive = 1 and maximumValueInclusive = 10 (and datatype of integer) Example 2) The upper case letters A through C and X described with the regularExpression "/[A-CX]/" Example 3) A date-time described with the Unicode Locale Data Markup Language pattern yyyy.MM.dd G 'at' HH:mm:ss zzz
Status: Proposal in progress
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Version:
Example: Variables within a specific section of a study, Variables related to a specific subject or keyword. Variables at a specified level of development or review.
Status: Proposal in progress
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Example:

AgentRegistryView

Status: Proposal in progress
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Example: Organizations contributing to a project. Individuals within an agency. All organizations, indivduals, and machines identified within the collections of an archive.
Status: Proposal in progress
Stage: Proposal
Version: 1
Example: An individual employed by an Organization. A unit or project (organization) within another Organization.
Status: Proposal in progress
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Version:
Example: Poverty, Income, Household relationship, Family, Gender, Business Establishment, Satisfaction, etc.
Status: Proposal in progress
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Version:
Example: ExternalMaterial is used to identify material and optionally specific sections of the material that have a relationship to a class. There is a generic relatedMaterial on AnnotatedIdentifiable. This should be used to attach any additional material that the user identifies as important to the class. The properties typeOfMaterial, descriptiveText, and relationshipDescription should be used to clarify the purpose and coverage of the related material.
Status: Proposal in progress
Stage: Content Review
Version:
Example: Analyst performing edits on data, interviewer conducting an interview, a creator.
Status: Proposal in progress
Stage: Content Review
Version:
Example: SAS program, photocopier
Status: Proposal in progress
Stage: Content Review
Version:
Example: U.S. Census Bureau, University of Michigan/ISR, Norwegian Social Data Archive