1. Disciplinary Collaboration Framework
RDA DCF
Dimitris Koureas & David Schade
P11

2. What challenges drive DCF?
Significant increase of disciplinary interest groups
Lack of effective communication amongst disciplines
Representation of many disciplines at group level is not exhaustive
Disciplinary specificities but also commonalities
Need for end-user driven technical advancement

3. Disciplines in RDA Is your discipline represented in an RDA group?

4. Disciplinary priorities What are the key challenges for your community?
Interoperability
Metadata - vocabularies - standards - semantics
Authentication & Access
Preservation
Sharing
Citation
Registries
FAIR
Data sharing
Transparency

5. Mission statements for the new group
Identifying the commonalities between the disciplinary groups,
harmonising technical and socio-cultural requirements relevant to their research data needs,
connecting groups, and
performing outreach activities, were identified as the main items to be included in the mission of such a group

6. The quick wins Easy to achieve and of high value
Act as an inter-disciplinary open forum;
Act as a forum to introduce and discuss RDA outputs;
Perform a gap analysis for disciplinary participation in RDA;
Support RDA domain ambassadors and the ambassadors’ scheme;
Act as a single authoritative voice in RDA, representing disciplines.

7. The quest for the ‘holy grail’ of disciplinary interoperability

8. Almost there? or far far away?
In the road for reaching comprehensive disciplinary interoperability
Almost there? or far far away?
Syntactic interoperability is achievable through (interchangeable) standards development (Systems interoperability)
Semantic interoperability (at scale) is still the elephant in the data room

10. Problems with eating an elephant a bite at a time
It starts to smell
Problem 2
You get really sick of elephant

11. Instead have an elephant dinner party
Small, multiple bites will do it
You don’t get full on elephant
You get to know other elephant-eating people

12. Building a Disciplinary Interoperability Framework
A collective step-wise exercise, gradually building a real corpus of user needs for interoperable datasets