Invitation to contribute to CTDL schema crosswalks

You're invited to join Credential Engine for our upcoming CTDL schema
crosswalks planning session. During this event, we will delve into the
process of mapping schemas using the Data Ecosystem Schema Mapper Tool
(DESM). Our focus will be on data models in areas relevant to the linked
open data Credential Transparency Description Language (CTDL). This session
will serve as an opportunity to gather your input on the direction we
should take for future mapping projects.These projects will be aligned with
the opportunities identified by the CTDL Advisory Group. More details,
including registration information, can be found below and on the dedicated web
page
<https://credentialengine.org/2023/08/14/traversing-data-landscapes-ctdl-schema-crosswalks-planning-session/>
on the Credential Engine website.

Event Details:

Date: August 22nd

Time: 10 am ET (See the World Clock
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=Unifying+Data+Landscapes%3A+CTDL+Schema+Crosswalks+Planning+Session&iso=20230822T10&p1=263&ah=1>
for your time zone)

Duration: 1 hour

Registration Link: Zoom Registration

<https://us02web.zoom.us/meeting/register/tZUpcuqtqz4tEtZ3PBRXBQGhUHMkhQ3UHDLi>

Who Should Participate? This session is a unique opportunity for two key
groups:

   -

   Schema Managers: If you are responsible for managing schemas or data
   models that intersect with the Credential Transparency Description Language
   (CTDL), your insights are much needed. Join to contribute your expertise in
   fostering interoperability and effective data utilization.
   -

   Learning Ecosystem Professionals: For those seeking crosswalks to bridge
   the gap between different data models within learn and work ecosystems,
   this session offers an exceptional chance to gain insights and collaborate
   with experts in the field.


Why Participate? Engaging in schema crosswalks and mapping offers a
multitude of benefits:


   -

   Avoid Unnecessary Proliferation: Gain a comprehensive understanding of
   existing data models, reducing redundancy and enabling informed decisions
   on potential data components reuse.
   -

   Enhance Clarity: Create transparent and clear mappings among relevant
   data models, fostering improved comprehension and communication.
   -

   Evaluate Expressivity: Assess the level of expressivity of different
   data models, identifying commonalities and differences in attributes.
   -

   Inform Term Selection: Determine whether new CTDL terms should be based
   on existing data model namespaces, enhancing consistency and coherence.
   -

   Support Interoperability: Provide essential insights for establishing
   relationship alignments to terms in other data models, aligning with the
   CTDL Namespace Policy and boosting data interoperability.
   -

   Enable Transformation: Support the aggregation, repurposing, and
   transformation of metadata expressed through diverse data models.
   -

   Extend CTDL: Contribute to expanding the CTDL vocabulary by identifying
   and filling gaps through the addition of new terms, aligning with both
   current and aspirational use cases.


Your expertise and insights are crucial to the success of the CTDL schema
crosswalks. We encourage anyone passionate about enhancing data
interoperability to join us in this work. Thank you!

Deb
-----------------------------------------

Deborah Everhart, Ph.D.

Chief Strategy Officer

Credential Engine <http://credentialengine.org/>

deverhart@credentialengine.org


Credential Engine is a non-profit whose mission is to map the credential
landscape with clear and consistent information, fueling the creation of
resources that empower people to find the pathways that are best for them.