Quantitative Data Mapping Guidance

Release 20191129
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.
This page exists for the following schemas:

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: 20191129
Release Date: 11/29/2019

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.

Properties:

Earnings Profile

Description:
Entity that describes earning and related statistical information for a given credential.

Properties:

Employment Outcome Profile

Description:
Entity that describes employment outcomes and related statistical information for a given credential.

Properties:

Jurisdiction Profile

Description:
Geo-political information about applicable geographic areas and their exceptions.

Properties:

Place

Description:
Entity describing a physical location or geospatial area.

Properties:

Process Profile

Description:
Entity describing the type, nature, and other relevant information about a process related to a credential.

Properties:

Data Profile

Description:
Entity describing the attributes of the data set, its subjects and their values.

Properties:

Data Set Profile

Description:
Particular characteristics or properties of a data set and its records.

Properties:

Data Set Time Frame

Description:
Time frame including earnings and employment start and end dates of the data set.

Properties:

Subject Profile

Description:
Categories of subject in the data set.

Properties:

Monetary Amount

Description:
Monetary value or range.

Properties:

Monetary Amount Distribution

Description:
Statistical distribution of monetary amounts.

Properties:

Quantitative Value

Description:
Point value for cohort characteristics and other purposes.

Properties:

Earnings

Description:
Entity describing aggregate credential holder earnings data.
Usage Note:
Delete

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.
Description:
Name or title of the resource.
Value Type:

Relevant Data Set

Description:
Data Set on which earnings or employment data is based.
Value Type:

Description

Description:
Statement, characterization or account of the entity.
Value Type:
Description:
Name or title of the resource.
Value Type:

Relevant Data Set

Description:
Data Set on which earnings or employment data is based.
Value Type:

Description

Description:
Statement, characterization or account of the entity.
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.
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.
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.
Value Type:

Latitude

Description:
Latitude of a location.
Comment:
For example 37.42242 (WGS 84)
Value Type:

Longitude

Description:
The longitude of a location.
Comment:
For example -122.08585 (WGS 84).
Value Type:
Description:
Name or title of the resource.
Value Type:

Description

Description:
Statement, characterization or account of the entity.
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.
Vocabulary:
This property should point to terms applicable to the ceterms:ExternalInput Concept Scheme.

Process Frequency

Description:
Interval of process occurence.
Value Type:

Processing Agent

Description:
Organization or person performing the process.
Value Type:

Process Method

Description:
Webpage or online document that describes the process methods.
Value Type:

Process Method Description

Description:
Textual description of the process methods.
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.
Value Type:

Data Collection Method Type

Description:
Type of method by which the data was collected.

Administration Process

Description:
Entity describing the process by which a credential, assessment, organization, or aspects of it, are 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.

Description

Description:
Statement, characterization or account of the entity.
Value Type:

Adjustment

Description:
Describes whether and how the provided earnings have been adjusted for factors such as inflation, participant demographics and economic conditions.
Value Type:

Administrative Record Type

Description:
Type of administrative record used; e.g. W2, 1099, and Unemployment Insurance Wage Record.
Value Type:
Vocabulary:
This property should point to terms applicable to the Administrative Record Category Concept Scheme:

Data Available

Description:
Number of credential holders in the reporting group for which employment and earnings data is included in the data set.

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.

Demographic Earnings Rate

Description:
Earnings rate for a demographic category.

demographicEmploymentRate

Description:
Employment rate for a demographic category.

Earnings Definition

Description:
Definition of "earnings" used by the data source in the context of the reporting group.
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.
Value Type:

Employment Definition

Description:
Statement of criteria used to determine whether sufficient levels of work time and/or earnings have been met to be considered employed during the earning time period.
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).

Holders In Set

Description:
Number of credential holders in the final data collection and reporting.

Income Determination Type

Description:
Mechanism by which income is determined; i.e., actual or annualized earnings.
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.

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).

Non-Completers

Description:
Non-holders who departed or are likely to depart higher education prematurely.

Non-Holders In Set

Description:
Non-holder subject actively pursuing the credential through a program or assessment.

Occupation Rate

Description:
Employment rate for an occupation category.

Related Employment

Description:
Number of people employed in the area of work (e.g., industry, occupation) in which the credential provided preparation.

Subject Excluded

Description:
Category of subject excluded from the data.
Value Type:

Subject Included

Description:
Category of subject included in the data.
Value Type:

Subjects In Set

Description:
Total credential holders and non-holders in the final data collection and reporting.

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).

Unrelated Employment

Description:
Number of people employed outside the area of work (e.g., industry, occupation) in which the credential provided preparation.

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.
Value Type:

Description

Description:
Statement, characterization or account of the entity.
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.
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.
Description:
Name or title of the resource.
Value Type:

Source URL

Description:
Authoritative source of an entity's information.
Comment:
Citation or description of an authoritative souce from which information or description has been derived.
Value Type:

Data Provider

Description:
Credentialing organization or a third party providing the data.
Value Type:

Data Set Time Period

Description:
Short- and long-term post-award reporting intervals including start and end dates.

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.
Value Type:

Distribution File

Description:
Downloadable form of this dataset, at a specific location, in a specific format.
Value Type:

Relevant Data Set For

Description:
Data set for the entity being referenced.

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.
Value Type:

Description

Description:
Statement, characterization or account of the entity.
Value Type:

End Date

Description:
Date some event or activity ends.
Value Type:
Description:
Name or title of the resource.
Value Type:

Start Date

Description:
Date the validity or usefulness of the information in this resource begins.
Value Type:

Data Attributes

Description:
Attributes of the data set.
Value Type:

Data Source Coverage Type

Description:
Type of geographic coverage of the subjects.
Value Type:

Administration Process

Description:
Entity describing the process by which a credential, assessment, organization, or aspects of it, are 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.

Description

Description:
Statement, characterization or account of the entity.
Value Type:
Description:
Name or title of the resource.
Value Type:

Earnings Amount

Description:
Reference to an entity describing aggregate earnings.
Value Type:

Earnings Distribution

Description:
Reference to an entity describing median earnings as well as earnings at various percentiles.

Subject Value

Description:
Quantitative values and percentages for a subject category in the data set.

Currency

Description:
Currency abbreviation (e.g., USD).
Value Type:

Max Value

Description:
Upper value of some characteristic or property.
Value Type:

Min Value

Description:
Lower value of some characteristic or property.
Value Type:

Unit Text

Description:
Word or phrase indicating the unit of measure.
Value Type:

Value

Description:
Value of a monetary amount or a quantitative value.
Value Type:

Median

Description:
Median salary value.
Value Type:

Percentile 10

Description:
10th percentile salary value.
Value Type:

Percentile 25

Description:
25th percentile salary value.
Value Type:

Percentile 75

Description:
75th percentile salary value.
Value Type:

Percentile 90

Description:
90th percentile salary value.
Value Type:

Currency

Description:
Currency abbreviation (e.g., USD).
Value Type:

Description

Description:
Statement, characterization or account of the entity.
Value Type:

Percentage

Description:
Quotient of two values of the data set.
Value Type:

Unit Text

Description:
Word or phrase indicating the unit of measure.
Value Type:

Value

Description:
Value of a monetary amount or a quantitative value.
Value Type: