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

Relation

In addition to the taxonomy structure (based on entity characteristics), the Data Model contains natural relationships among the entities. For example, in the Data Model taxonomy, the Student entity is not close to the Class entity, but the Data Model stores and reflects the relationships between them. The figure below shows examples of the types of relations contained in the Data Model.


Picture of Relationships

The relationship descriptors include verbs or short verb phrases that connect the subject with the object. For example, student (subject) receives services from (relation) teacher (object). This information within the Data Model allows for intelligent searching and for creation of subparts of a model.

Other examples of possible relationship descriptors include:

  • Provides
  • Supports
  • Delivers
  • Participates in
  • Disrupts
  • Enhances