Quantitative Data Mapping Guidance
Release 20240830
This page displays the Quantitative Data schema in an object-oriented format. Below you will find every class for this schema, each with a thorough description and a list of properties for that class. Where applicable, properties that leverage concept schemes (controlled vocabularies) will also show the available concepts for those schemes.
The purpose of this page is to make it easier for your team to map your schema and your data (your classes and properties) to the CTDL classes and properties.
For an RDF-centric view of this schema, use the Terms page.
The CTDL Quantitative Data schema (QData for short) is intended to describe aggregate/statistical data related to credentials and other such information. The QData model and accompanying properties and classes currently provide access to aggregate earnings, employment and holder data stemming largely from second party datasets (e.g., U.S. Department of Labor). Similar access is under development for including aggregate credential holder data. Current records in the Credential Engine Registry (CER) embody authoritative data provided either by: (1) the credential organization that owns or offers the credential as well as any associated learning opportunities or assessments; or, (2) a second party under the authority of such a credential organization. The earnings, employment and holder information of concern here is largely sourced through second party data aggregators including public sector agencies at both state and federal levels and private sector organizations supporting specific services and making that data more-or-less publicly available through various means.
Release ID: 20240830
Release Date: 8/30/2024
Available profiles for this schema:
Profiles define constraints (such as required properties, which properties allow multiple values, etc.) for a schema when it is used in a specific context. Select a profile to view its constraints on this schema:
Raw Schema
View this schema with no profile constraints attached.
Credential Engine Registry profile of QData
This is the Credential Engine Registry profile of QData.
Download This Schema:
To download the entire schema, use one of these links. To download just a specific class, select the class below and use the links in the download section for that class.
Classes for Quantitative Data:
Select a class to view its properties.
Credential
Description:
Qualification, achievement, personal or organizational quality, or aspect of an identity typically used to indicate suitability.
Comment:
The ceterms:Credential class is broadly defined to encompass credentials used across domains and communities of practice. The class should be used only when speaking of credentials in general. Subclasses of ceterms:Credential as defined by Credential Engine (or other communities) should be used when referencing specific types of credentials.
Status:
vs:stable
Download:
Properties:
Earnings Profile
Description:
Entity that describes earning and related statistical information for a given credential.
Usage Note:
The use of ceterms:AggregateDataProfile instead of this class is strongly recommended.
Status:
vs:stable
Download:
Properties:
Employment Outcome Profile
Description:
Entity that describes employment outcomes and related statistical information for a given credential.
Usage Note:
The use of ceterms:AggregateDataProfile instead of this class is strongly recommended.
Status:
vs:stable
Download:
Properties:
Jurisdiction Profile
Description:
Geo-political information about applicable geographic areas and their exceptions.
Status:
vs:stable
Download:
Properties:
Place
Description:
Entity describing a physical location or geospatial area.
Status:
vs:stable
Download:
Properties:
Process Profile
Description:
Entity describing the type, nature, and other relevant information about a process related to a credential.
Status:
vs:stable
Download:
Properties:
Data Profile
Description:
Entity describing the attributes of the data set, its subjects and their values.
Status:
vs:stable
Download:
Properties:
Data Set Distribution
Description:
A specific representation of a dataset.
Status:
vs:unstable
Download:
Properties:
Data Set Profile
Description:
Particular characteristics or properties of a data set and its records.
Status:
vs:stable
Download:
Properties:
Data Set Time Frame
Description:
Time frame including earnings and employment start and end dates of the data set.
Status:
vs:stable
Download:
Properties:
Dimension
Description:
Aspect or characteristic along which observations in a dataset can be organized and identified.
Status:
vs:unstable
Download:
Properties:
Metric
Description:
What is being measured and the method of measurement used for observations within a data set.
Status:
vs:unstable
Download:
Properties:
Observation
Description:
Data within a dataset defined by specific values for all relevant dimensions and associated with measured values.
Status:
vs:unstable
Download:
Properties:
Monetary Amount
Description:
Monetary value or range.
Status:
vs:stable
Download:
Properties:
Monetary Amount Distribution
Description:
Statistical distribution of monetary amounts.
Status:
vs:stable
Download:
Properties:
Quantitative Value
Description:
Point value for cohort characteristics and other purposes.
Status:
vs:stable
Download:
Properties:
Earnings
Description:
Entity describing aggregate credential holder earnings data.
Usage Note:
The use of ceterms:aggregateData instead of this property is strongly recommended.
Status:
vs:stable
Value Type:
Employment Outcome
Description:
Entity describing aggregate data on jobs obtained with the credential by occupation and industry for a given period of time in a specific region.
Usage Note:
The use of ceterms:aggregateData instead of this property is strongly recommended.
Status:
vs:stable
Value Type:
Relevant Data Set
Description:
Data Set on which earnings or employment data is based.
Status:
vs:stable
Value Type:
Alternate Name
Description:
Alias for the entity including acronyms, alpha-numeric notations, and other forms of name abbreviations in common use such as PhD, MA, and BA.
Status:
vs:stable
Value Type:
Name
Description:
Name or title of the resource.
Status:
vs:stable
Value Type:
Alternate Name
Description:
Alias for the entity including acronyms, alpha-numeric notations, and other forms of name abbreviations in common use such as PhD, MA, and BA.
Status:
vs:stable
Value Type:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
Name
Description:
Name or title of the resource.
Status:
vs:stable
Value Type:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
Jurisdiction Exception
Description:
Geographic or political region in which the credential is not formally recognized or an organization has no authority to act .
Comment:
The ceterms:jurisdictionalException property is used in conjunction with the ceterms:jurisdiction property and expresses any exceptions to a more general statement; e.g., the United states except for Colorado.
Status:
vs:stable
Value Type:
Main Jurisdiction
Description:
Primary geographic or political region in which the credential is recognized as applicable or in which an organization has recognized authority to act.
Status:
vs:stable
Value Type:
Alternate Name
Description:
Alias for the entity including acronyms, alpha-numeric notations, and other forms of name abbreviations in common use such as PhD, MA, and BA.
Status:
vs:stable
Value Type:
Geographic URI
Description:
Entity that describes the longitude, latitude and other location details of a place.
Comment:
This may define a place at any scale. Examples include a city, state, province, country, or continent.
Usage Note:
It is recommended to use services such as http://www.geonames.org to provide values for this property.
Status:
vs:stable
Value Type:
Latitude
Description:
Latitude of a location.
Comment:
For example 37.42242 (WGS 84)
Status:
vs:stable
Value Type:
Longitude
Description:
The longitude of a location.
Comment:
For example -122.08585 (WGS 84).
Status:
vs:stable
Value Type:
Name
Description:
Name or title of the resource.
Status:
vs:stable
Value Type:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
External Input Type
Description:
Types of external stakeholders that provide input to an entity's processes or resources; select from an existing enumeration of such types.
Usage Note:
Best practice for developing credential descriptions for the Credential Engine Registry is to use the ceterms:ExternalInput vocabulary.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the ceterms:ExternalInput Concept Scheme via the Credential Alignment Object's ceterms:targetNode property.
Process Frequency
Description:
Interval of process occurence.
Status:
vs:stable
Value Type:
Processing Agent
Description:
Organization or person performing the process.
Status:
vs:stable
Value Type:
Process Method
Description:
Webpage or online document that describes the process methods.
Status:
vs:stable
Value Type:
Process Method Description
Description:
Textual description of the process methods.
Status:
vs:stable
Value Type:
Verification Method Description
Description:
Textual description of the methods used to evaluate an assessment, learning opportunity, process or verificaiton service for validity or reliability.
Status:
vs:stable
Value Type:
Data Collection Method Type
Description:
Type of method by which the data was collected.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Collection Method Concept Scheme:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
Adjustment
Description:
Describes whether and how the Observations have been adjusted for relevant factors.
Comment:
Examples of factors include inflation, participant demographics, economic conditions, etc.
Status:
vs:stable
Value Type:
Data Available
Description:
Number of credential holders in the reporting group for which employment and earnings data is included in the data set.
Status:
vs:stable
Value Type:
Data Not Available
Description:
Number of credential holders in the reporting group for which employment and earnings data has not been included in the data set.
Status:
vs:stable
Value Type:
Demographic Earnings Rate
Description:
Earnings rate for a demographic category.
Status:
vs:stable
Value Type:
demographicEmploymentRate
Description:
Employment rate for a demographic category.
Status:
vs:stable
Value Type:
Earnings Amount
Description:
Reference to an entity describing aggregate earnings.
Status:
vs:stable
Value Type:
Earnings Definition
Description:
Definition of "earnings" used by the data source.
Status:
vs:stable
Value Type:
Earnings Distribution
Description:
Reference to an entity describing median earnings as well as earnings at various percentiles.
Status:
vs:stable
Value Type:
Earnings Threshold
Description:
Statement of any work time or earnings threshold used in determining whether a sufficient level of workforce attachment has been achieved to qualify as employed during the time period of the data set.
Status:
vs:stable
Value Type:
Employment Definition
Description:
Definition of employment used by the data source.
Status:
vs:stable
Value Type:
Employment Outlook
Description:
Projected employment estimate.
Status:
vs:stable
Value Type:
Employment Rate
Description:
Rate computed by dividing the number of holders or subjects meeting the data set's criteria of employment (meetEmploymentCriteria) by the number of holders or subjects for which data was available (dataAvailable).
Status:
vs:stable
Value Type:
Faculty-to-Student Ratio
Description:
Ratio of the number of teaching faculty to the number of students.
Comment:
What constitutes "teaching faculty" is determined by the Organization and may include anyone with a significant, direct instructional role in interactions with students in learning activities.
Usage Note:
The expression of the ratio should feature the number of faculty first, followed by the number of students, e.g., "1:10" to mean "one faculty per ten students".
Status:
vs:unstable
Value Type:
Holders In Set
Description:
Number of credential holders in the final data collection and reporting.
Status:
vs:stable
Value Type:
Income Determination Type
Description:
Mechanism by which income is determined; i.e., actual or annualized earnings; select from an enumeration of such types.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Income Determination Method Concept Scheme:
Industry Rate
Description:
Employment rate for an industry category.
Status:
vs:stable
Value Type:
Insufficient Employment Criteria
Description:
Number of holders that do not meet the prescribed employment threshold in terms of earnings or time engaged in work as defined for the data set (employmentDefinition).
Status:
vs:stable
Value Type:
Meet Employment Criteria
Description:
Number of holders that meet the prescribed employment threshold in terms of earnings or time engaged in work as defined for the data set (employmentDefinition).
Status:
vs:stable
Value Type:
Non-Completers
Description:
Non-holders who departed or are likely to depart higher education prematurely.
Status:
vs:stable
Value Type:
Non-Holders In Set
Description:
Non-holder subject actively pursuing the credential through a program or assessment.
Status:
vs:stable
Value Type:
Occupation Rate
Description:
Employment rate for an occupation category.
Status:
vs:stable
Value Type:
Pass Rate
Description:
Rate computed by dividing the number of subjects passing an assessment by the total number taking the assessment.
Usage Note:
When data is available, record both the percentage and the number of subjects who passed the assessment.
Status:
vs:stable
Value Type:
Regional Earnings Distribution
Description:
Reference to an entity describing median earnings as well as earnings at various percentiles for holders or subjects in the region.
Status:
vs:stable
Value Type:
Regional Employment Rate
Description:
Rate computed by dividing the number of holders or subjects in the region meeting the data set's criteria of employment (meetEmploymentCriteria) by the number of holders or subjects in the region for which data was available (dataAvailable).
Status:
vs:stable
Value Type:
Related Employment
Description:
Number of people employed in the area of work (e.g., industry, occupation) in which the credential provided preparation.
Status:
vs:stable
Value Type:
Subject Excluded
Description:
Category of subject excluded from the data.
Status:
vs:stable
Value Type:
Subjects In Set
Description:
Total credential holders and non-holders in the final data collection and reporting.
Status:
vs:stable
Value Type:
Sufficient Employment Criteria
Description:
Number of holders that meet the prescribed employment threshold in terms of earnings or time engaged in work as defined for the data set (employmentDefinition).
Status:
vs:stable
Value Type:
Total WIOA Completers
Description:
Total participants who completed the WIOA program, successfully or unsuccessfully.
Status:
vs:stable
Value Type:
Total WIOA Exiters
Description:
Total participants who successfully completed the WIOA program and exited WIOA.
Status:
vs:stable
Value Type:
Total WIOA Participants
Description:
Total participants in the WIOA program.
Status:
vs:stable
Value Type:
Unrelated Employment
Description:
Number of people employed outside the area of work (e.g., industry, occupation) in which the credential provided preparation.
Status:
vs:stable
Value Type:
Work Time Threshold
Description:
Statement of earnings thresholds used in determining whether a sufficient level of workforce attachment has been achieved to qualify as employed during the chosen employment and earnings time period.
Status:
vs:stable
Value Type:
Conforms To
Description:
An established standard to which the described resource conforms.
Status:
vs:unstable
Value Type:
Media Type
Description:
A file format or physical medium.
Status:
vs:unstable
Value Type:
Administration Process
Description:
Description of a process by which a resource is administered.
Comment:
Processes described include the execution of events and the development of resources in the lifecycle of a credential or organization, such as the process for the proctoring of assessments.
Usage Note:
For assessments and rubrics, this can be used to indicate the scoring algorithm.
Status:
vs:stable
Value Type:
Alternate Name
Description:
Alias for the entity including acronyms, alpha-numeric notations, and other forms of name abbreviations in common use such as PhD, MA, and BA.
Status:
vs:stable
Value Type:
CTID
Description:
Globally unique Credential Transparency Identifier (CTID) by which the creator, owner or provider of a resource recognizes it in transactions with the external environment (e.g., in verifiable claims involving the resource).
Comment:
The CTID is the equivalent of a version identifier for the resource. Different versions of a resource are considered distinct expressions and each must be assigned its own CTID. Each version of a resource can have only one CTID assigned. However, a single version of a resource may have distinct identifier values for both the ctid property and the credentialId property. In such a case both identifiers will be recognized by the resource creator/owner/provider in transactions with the external environment.
Status:
vs:stable
Value Type:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
Instructional Program Type
Description:
Type of instructional program; select from an existing enumeration of such types.
Usage Note:
For U.S. credentials, best practice is to use a framework such as the CIP (Classification of Instructional Programs). Other credentials may use any framework of the class CTDL InstructionalProgramClassification.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the ceterms:InstructionalProgramClassification Concept Scheme.
Jurisdiction
Description:
Geographic or political region in which the credential is formally applicable or an organization has authority to act.
Status:
vs:stable
Value Type:
Name
Description:
Name or title of the resource.
Status:
vs:stable
Value Type:
Source URL
Description:
Authoritative source of an entity's information.
Comment:
Citation or description of an authoritative source from which information or description has been derived.
Status:
vs:stable
Value Type:
Data Provider
Description:
Credentialing organization or a third party providing the data.
Status:
vs:stable
Value Type:
Data Set Spatial Coverage
Description:
Location or geographic area for a data set.
Status:
vs:unstable
Value Type:
Data Set Temporal Coverage
Description:
Time period covered by the data.
Status:
vs:unstable
Value Type:
Data Set Time Period
Description:
Short- and long-term post-award reporting intervals including start and end dates.
Status:
vs:stable
Value Type:
Data Suppression Policy
Description:
Description of a data suppression policy for earnings and employment data when cell size is below a certain threshold to ensure an individual's privacy and security.
Status:
vs:stable
Value Type:
Has Data Set Distribution
Description:
A representation of the data set.
Status:
vs:unstable
Value Type:
Has Data Set Service
Description:
A means of accessing one or more data sets or data processing functions.
Status:
vs:unstable
Value Type:
Has Dimension
Description:
A set of resources or concepts to which the metric is applied or which affect the observation of the metric.
Comment:
The metric may be applied to or affected by resources such as credential earned, industry of employment, year of graduation, location etc.
Status:
vs:unstable
Value Type:
Has Metric
Description:
What the observations measure and details of the method used.
Status:
vs:unstable
Value Type:
Has Observation
Description:
The recorded data.
Status:
vs:unstable
Value Type:
Relevant Data Set For
Description:
Data set for the entity being referenced.
Status:
vs:stable
Value Type:
ceterms:AcademicCertificate
ceterms:ApprenticeshipCertificate
ceterms:AssessmentProfile
ceterms:AssociateDegree
ceterms:AssociateOfAppliedArtsDegree
ceterms:AssociateOfAppliedScienceDegree
ceterms:AssociateOfArtsDegree
ceterms:AssociateOfScienceDegree
ceterms:BachelorDegree
ceterms:BachelorOfArtsDegree
ceterms:BachelorOfScienceDegree
ceterms:Badge
ceterms:BasicTechnicalCertificate
ceterms:Certificate
ceterms:CertificateOfCompletion
ceterms:CertificateOfParticipation
ceterms:Certification
ceterms:Course
ceterms:Credential
ceterms:CredentialOrganization
ceterms:Degree
ceterms:DigitalBadge
ceterms:Diploma
ceterms:DoctoralDegree
ceterms:GeneralEducationDevelopment
ceterms:GeneralEducationLevel1Certificate
ceterms:GeneralEducationLevel2Certificate
ceterms:HigherEducationLevel1Certificate
ceterms:HigherEducationLevel2Certificate
ceterms:Industry
ceterms:Job
ceterms:JourneymanCertificate
ceterms:LearningOpportunityProfile
ceterms:LearningProgram
ceterms:License
ceterms:MasterCertificate
ceterms:MasterDegree
ceterms:MasterOfArtsDegree
ceterms:MasterOfScienceDegree
ceterms:MicroCredential
ceterms:Occupation
ceterms:OpenBadge
ceterms:Organization
ceterms:Pathway
ceterms:PostBaccalaureateCertificate
ceterms:PostMasterCertificate
ceterms:PreApprenticeshipCertificate
ceterms:ProfessionalCertificate
ceterms:ProfessionalDoctorate
ceterms:ProficiencyCertificate
ceterms:QACredentialOrganization
ceterms:QualityAssuranceCredential
ceterms:ResearchDoctorate
ceterms:SecondaryEducationCertificate
ceterms:SecondarySchoolDiploma
ceterms:SpecialistDegree
ceterms:TechnicalLevel1Certificate
ceterms:TechnicalLevel2Certificate
ceterms:TechnicalLevel3Certificate
ceterms:WorkBasedLearningCertificate
Subject Identification
Description:
Identification of data point(s) in the data set that describe personal subject attribute(s) used to uniquely identify a subject for the purpose of matching records and an indication of level of confidence in the accuracy of the match.
Status:
vs:stable
Value Type:
About
Description:
Subject matter of the resource.
Status:
vs:stable
Value Type:
ceterms:ApprenticeshipCertificate
ceterms:AssessmentProfile
ceterms:AssociateDegree
ceterms:AssociateOfAppliedArtsDegree
ceterms:AssociateOfAppliedScienceDegree
ceterms:AssociateOfArtsDegree
ceterms:AssociateOfScienceDegree
ceterms:BachelorDegree
ceterms:BachelorOfArtsDegree
ceterms:BachelorOfScienceDegree
ceterms:Badge
ceterms:Certificate
ceterms:CertificateOfCompletion
ceterms:Certification
ceterms:Course
ceterms:Credential
ceterms:CredentialOrganization
ceterms:Degree
ceterms:DigitalBadge
ceterms:Diploma
ceterms:DoctoralDegree
ceterms:GeneralEducationDevelopment
ceterms:JourneymanCertificate
ceterms:LearningOpportunityProfile
ceterms:LearningProgram
ceterms:License
ceterms:MasterCertificate
ceterms:MasterDegree
ceterms:MasterOfArtsDegree
ceterms:MasterOfScienceDegree
ceterms:MicroCredential
ceterms:OpenBadge
ceterms:Organization
ceterms:ProfessionalDoctorate
ceterms:QACredentialOrganization
ceterms:QualityAssuranceCredential
ceterms:ResearchDoctorate
ceterms:ScheduledOffering
ceterms:SecondarySchoolDiploma
Alternate Name
Description:
Alias for the entity including acronyms, alpha-numeric notations, and other forms of name abbreviations in common use such as PhD, MA, and BA.
Status:
vs:stable
Value Type:
Description
Description:
Statement, characterization or account of the entity.
Status:
vs:stable
Value Type:
End Date
Description:
Date some event or activity ends.
Status:
vs:stable
Value Type:
Name
Description:
Name or title of the resource.
Status:
vs:stable
Value Type:
Start Date
Description:
Date the validity or usefulness of the information in this resource begins.
Status:
vs:stable
Value Type:
Data Attributes
Description:
Attributes of the data set.
Status:
vs:stable
Value Type:
Time Interval
Description:
Length of the interval between two events.
Status:
vs:unstable
Value Type:
Dimension Type
Description:
Type of resource that may be a point in the dimension; select from existing classes and concept schemes.
Comment:
Items in a dimension will typically be instances of CTDL classes or concepts drawn from a CTDL concept scheme.
Status:
vs:unstable
Value Type:
Has Point
Description:
Identifies a specific entity in a Dimension.
Usage Note:
The value of this property will be a resource with any type, e.g. skos:Concept, ceterms:Credential (or any subclass thereof), ceterms:Industry, ceterms:Place, etc.
Status:
vs:unstable
Value Type:
Adjustment
Description:
Describes whether and how the Observations have been adjusted for relevant factors.
Comment:
Examples of factors include inflation, participant demographics, economic conditions, etc.
Status:
vs:stable
Value Type:
Earnings Definition
Description:
Definition of "earnings" used by the data source.
Status:
vs:stable
Value Type:
Earnings Threshold
Description:
Statement of any work time or earnings threshold used in determining whether a sufficient level of workforce attachment has been achieved to qualify as employed during the time period of the data set.
Status:
vs:stable
Value Type:
Employment Definition
Description:
Definition of employment used by the data source.
Status:
vs:stable
Value Type:
Income Determination Type
Description:
Mechanism by which income is determined; i.e., actual or annualized earnings; select from an enumeration of such types.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Income Determination Method Concept Scheme:
Metric Type
Description:
Type of phenomenon being measured; select from an existing enumeration of such types.
Status:
vs:unstable
Value Type:
Vocabulary:
This property should point to terms applicable to the Metric Category Concept Scheme:
metricCat:Acceptance
metricCat:Access
metricCat:ActivityEarnings
metricCat:BenefitsReceived
metricCat:CareerAdvancement
metricCat:Completion
metricCat:Concentrator
metricCat:CostDuration
metricCat:Credential
metricCat:CredentialAttainment
metricCat:CredentialAwarded
metricCat:CredentialTypesOffered
metricCat:CredentialValue
metricCat:CreditTransfer
metricCat:DirectCost
metricCat:Earnings
metricCat:EducationLevel
metricCat:EmployerSatisfaction
metricCat:Employment
metricCat:Enrollment
metricCat:HighSkillOccupation
metricCat:HighWageOccupation
metricCat:InDemandOccupation
metricCat:IndustryEmployment
metricCat:IndustryGrowth
metricCat:InnovationAdoption
metricCat:JobIndustryOccupation
metricCat:JobOpenings
metricCat:LearnerToAdvisor
metricCat:LearnerToFaculty
metricCat:OccupationEmployment
metricCat:OccupationGrowth
metricCat:Organization
metricCat:ParticipationCost
metricCat:ParticipationEngagement
metricCat:PassRate
metricCat:Performance
metricCat:Placement
metricCat:PreparationCost
metricCat:PreparationDuration
metricCat:PriorLearning
metricCat:Progression
metricCat:ReEnrollment
metricCat:Retention
metricCat:RetentionCompletion
metricCat:SkillsProficiency
metricCat:StudenLoanSubject
metricCat:StudentFinancial
metricCat:StudentFinancialAssistance
metricCat:StudentLoanAmount
metricCat:StudentLoanDebt
metricCat:StudentSatisfaction
metricCat:Support
metricCat:TechnologyInnovation
metricCat:TimeToEmployment
metricCat:TransferValue
metricCat:UseOfTechnology
metricCat:WIOA
metricCat:WIOACompleter
metricCat:WIOAParticipant
metricCat:WIOAProgramExiter
metricCat:WIOATrainingExiter
Record Type
Description:
Type of record used to source the data.
Comment:
Examples include various official records and self-reporting via a survey.
Status:
vs:unstable
Value Type:
At Point
Description:
A point in a Dimension that represents a resource or factor relevant to this Observation.
Status:
vs:unstable
Value Type:
Data Withholding Type
Description:
Type of suppression, masking, or other modification made to the data to protect the identities of its subjects.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Data Withholding Category Concept Scheme:
Is Observation Of
Description:
Indicates the metric used for this Observation.
Status:
vs:unstable
Value Type:
Max Percentage
Description:
The upper percentage of some characteristic or property.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:unstable
Value Type:
Min Percentage
Description:
The lower percentage of some characteristic or property.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:unstable
Value Type:
Percentage
Description:
Quotient of two values of the data set, expressed as a percentage.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:stable
Value Type:
Percentile 10
Description:
10th percentile value.
Status:
vs:stable
Value Type:
Percentile 25
Description:
25th percentile value.
Status:
vs:stable
Value Type:
Percentile 75
Description:
75th percentile value.
Status:
vs:stable
Value Type:
Percentile 90
Description:
90th percentile value.
Status:
vs:stable
Value Type:
Size of Data
Description:
Number of subjects from the population for which data was obtained to calculate the observed value.
Usage Note:
For the number of subjects in the sample for which no data was available use sizeOfNoData, and for the total number of subjects available use sizeOfPopulation.
Status:
vs:unstable
Value Type:
Size of No Data
Description:
Number of subjects in the sample for which no data was obtained.
Comment:
This is relevant for surveys or other forms of data gathering where a bias may be introduced by non-response or similar omissions.
Usage Note:
For the number of subjects for which data was available, use sizeOfData, and for the total number of subjects available use sizeOfPopulation.
Status:
vs:unstable
Value Type:
Size of Population
Description:
The total number of subjects in the relevant population.
Usage Note:
For the number of subjects for which data was available, use sizeOfData, and for the number of subjects for which no data was available, use sizeOfNoData.
Status:
vs:unstable
Value Type:
Standard Deviation
Description:
Standard deviation about the mean.
Status:
vs:unstable
Value Type:
Currency
Description:
Currency abbreviation (e.g., USD).
Status:
vs:stable
Value Type:
Max Value
Description:
Upper value of some characteristic or property.
Status:
vs:stable
Value Type:
Min Value
Description:
Lower value of some characteristic or property.
Status:
vs:stable
Value Type:
Value
Description:
Value of a monetary amount or a quantitative value.
Status:
vs:stable
Value Type:
Data Withholding Type
Description:
Type of suppression, masking, or other modification made to the data to protect the identities of its subjects.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Data Withholding Category Concept Scheme:
Currency
Description:
Currency abbreviation (e.g., USD).
Status:
vs:stable
Value Type:
Description
Description:
A description of the item.
Status:
vs:stable
Value Type:
Max Value
Description:
Upper value of some characteristic or property.
Status:
vs:stable
Value Type:
Min Value
Description:
Lower value of some characteristic or property.
Status:
vs:stable
Value Type:
Unit Text
Description:
Word or phrase indicating the unit of measure.
Status:
vs:stable
Value Type:
Value
Description:
Value of a monetary amount or a quantitative value.
Status:
vs:stable
Value Type:
Data Withholding Type
Description:
Type of suppression, masking, or other modification made to the data to protect the identities of its subjects.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Data Withholding Category Concept Scheme:
Percentile 10
Description:
10th percentile value.
Status:
vs:stable
Value Type:
Percentile 25
Description:
25th percentile value.
Status:
vs:stable
Value Type:
Percentile 75
Description:
75th percentile value.
Status:
vs:stable
Value Type:
Percentile 90
Description:
90th percentile value.
Status:
vs:stable
Value Type:
Currency
Description:
Currency abbreviation (e.g., USD).
Status:
vs:stable
Value Type:
Data Withholding Type
Description:
Type of suppression, masking, or other modification made to the data to protect the identities of its subjects.
Status:
vs:stable
Value Type:
Vocabulary:
This property should point to terms applicable to the Data Withholding Category Concept Scheme:
Max Percentage
Description:
The upper percentage of some characteristic or property.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:unstable
Value Type:
Min Percentage
Description:
The lower percentage of some characteristic or property.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:unstable
Value Type:
Percentage
Description:
Quotient of two values of the data set, expressed as a percentage.
Usage Note:
Best practice is to treat the value of this property as a verbatim percentage; for example, a value of 1.5 should be interpreted as 1.5%
Status:
vs:stable
Value Type:
Unit Text
Description:
Word or phrase indicating the unit of measure.
Status:
vs:stable
Value Type:
Value
Description:
Value of a monetary amount or a quantitative value.
Status:
vs:stable
Value Type:
