SIF AssociationCCSSO

News & Updates

"The NEDM project has been very helpful in the ongoing expansion of the eScholar Complete Data Warehouse. By leveraging the work of the NEDM in finding commonality among education data attributes across disparate systems and organizations, we are able to more quickly deliver broadly applicable enhancements."
-Shawn Bay
 Founder/CEO, eScholar LLC

“What I’ve found helpful about working with NEDM is that it provides us with a starting point for our work to expand our data system. In New Jersey, we have multiple, fragmented data collections that grew over the years as independent entities. Our challenge is to build out our SLDS to incorporate what we’ve been collecting but also focus on what we may not have been collecting. NEDM is a fabulous tool to help us establish our priorities for which data elements and collections should be incorporated first and also to provide the more global guidance of what the data values and formats should be for each new data element.”
-Bari Anhalt Erlichson PhD
 Director Office of Research and Evaluation, New Jersey Department of Education

Common Attributes

Attributes are usually specific to each entity. However, a small set of attributes exist that apply to multiple entities. These attributes are referred to as common attributes and are arranged into a taxonomy below. This taxonomy of common attributes should not be confused with the Data Model taxonomy of entities.

This limited set of Common Attributes are included for the sake of consistency of definition and to promote uniformity in the specification of attributes. The common attributes are expected to change as the Data Model continues to be updated with the most up-to-date set of descriptors. Items lower in the hierarchy are more specific than those above. Items at any level in the hierarchy may be associated with an entity.

Person Name

  • Alias
  • First Name
  • Former Legal Name
  • Generation Code/Suffix
  • Last/Surname
  • Last/Surname at Birth
  • Middle Name
  • Nickname

Locus

  • Location
  • Physical Location
    • Physical Address
    • Latitude/Longitude
    • GPS Coordinates
  • Virtual Location
    • IP Address
    • URI
    • Postal Address
  • Connection Id
    • e-mail Address
    • Phone Number
    • Screen Name
    • IM address
  • Schedule
    • Day/Date/Time
    • Periodicity
    • Length

Person Characteristic

  • Demographic
    • Ethnicity
    • Sex
  • Role
  • Physical Characteristic
    • Weight
    • Picture/Likeness
  • Status

Document Metadata

  • IEEE LOM
  • Dublin Core
  • SIF
  • RDF

Program Evaluation

  • Resources Consumed
    • Financial Resources
    • Time Resources
    • Human Resources
    • Curricular Resources
    • Instructional Materials
      • New Technology Resources Used
      • Equipment Used
      • Supplies Used
    • Facilities Resources
      • Number of Buildings
      • Square Feet
  • Measurable Goals and Outcomes
    • Academic Goals
      • Academic Achievement
      • Skills Acquisition
      • Skill Certification
    • Non-Academic Goals
      • Health Effects
        • Physical
        • Emotional
        • Developmental
      • Social Effects
        • Community Service
      • Participation Effects
        • Retention
        • Enrollment
        • Completion
    • Goal-Based Outcomes
  • Target/Served Population
    • Size
    • Demographics
    • Program Baselines
    • Method of Identification
    • Population Characteristics
  • Methodology
    • Measurement
    • Analysis
  • Characteristics
    • Program Availability
      • Geographic
      • Calendar
      • Length of Program
      • Periodicity of Service
      • Length of Services
    • NCES Program Type
    • Delivery Methodology
      • Constructivism
      • Inquiry Based
      • Directed Instruction
      • Virtual
      • Groupings