Abstract
Objectives:
The purpose of the RDA CCM Interest Group is
- to collect, validate and publish a range of data-centric capability profiles;
- to enhance inter- and intra-domain interoperability;
- to catalyse RDA data-sharing goals.
Activities:
UKOLN Informatics and Microsoft Research Connections have developed a Community Capability Model
Framework (CCMF) based on the principles described in The Fourth Paradigm. The aim was to create a common framework for describing how different communities are placed to effectively carry out data-intensive research, as well as identify gaps in capability.
The CCMF White Paper describes various aspects, which together facilitate an assessment of the
data-intensive capability of a particular community; they are categorised into Human, Environmental and Technical elements, encompassing the following eight factors:
Openness;
Legal, Ethical & Commercial;
Collaboration;
Economic & Business;
Skills & Training;
Common Practices;
Research Culture;
Technical Infrastructure.
The CCM Interest Group will lead on progressing the application of the model across a range of disciplines to make it usable and provide a picture of how different communities are tackling data-intensive research.
The purpose of the RDA CCM Interest Group is
- to collect, validate and publish a range of data-centric capability profiles;
- to enhance inter- and intra-domain interoperability;
- to catalyse RDA data-sharing goals.
Activities:
UKOLN Informatics and Microsoft Research Connections have developed a Community Capability Model
Framework (CCMF) based on the principles described in The Fourth Paradigm. The aim was to create a common framework for describing how different communities are placed to effectively carry out data-intensive research, as well as identify gaps in capability.
The CCMF White Paper describes various aspects, which together facilitate an assessment of the
data-intensive capability of a particular community; they are categorised into Human, Environmental and Technical elements, encompassing the following eight factors:
Openness;
Legal, Ethical & Commercial;
Collaboration;
Economic & Business;
Skills & Training;
Common Practices;
Research Culture;
Technical Infrastructure.
The CCM Interest Group will lead on progressing the application of the model across a range of disciplines to make it usable and provide a picture of how different communities are tackling data-intensive research.
| Original language | English |
|---|---|
| Publication status | Published - 17 Sept 2013 |
| Event | Research Data Alliance 2nd Plenary Meeting - Washington DC, Washington DC, USA United States Duration: 16 Sept 2013 → 18 Sept 2013 |
Conference
| Conference | Research Data Alliance 2nd Plenary Meeting |
|---|---|
| Country/Territory | USA United States |
| City | Washington DC |
| Period | 16/09/13 → 18/09/13 |
Keywords
- research data management
- community capability model
- CCMF
ASJC Scopus subject areas
- General Computer Science