Priorities and challenges for managing the long tail of research data
Short introduction describing the activities and the scope of the group:
The Interest Group "Long Tail of Research data" focuses on the situation that the majority of research data are coming from massively distributed and diverse disciplines, projects and researchers and, thus, that 'big' research data solutions usually miss the majority of excellent research.
Because of the diversity of the long-tail, there are some very specific challenges involved in managing the long tail of research data, such as how can organizations can identify priorities and how can we as a broader community develop standard practices around RDM for the long tail.
The IG meetings at each plenary since P2 in Washington and is with c. 200 members (2016) one of the largest group in RDA. The main objective is to provide an exchange forum and fuel related activities such as the Libraries for Research Data IG and the Repository Platforms IG.
Additional links to informative material related to the group i.e. group page, Case statement, working documents etc
Case statement, working documents etc https://rd-alliance.org/groups/long-tail-research-data-ig.html
1. To finalize a summary paper about the findings of the IG
2. To identify other issues or themes of interest to members of the group
3. To initiate rotation of interest group chairs.
1. Introducing the Long-Tail IG (Kathleen Shearer)
2. Policy context (Wolfram Horstmann)
3. Presentation of Discussion Paper (Authoring Team)
4. Paper Feedback Session (All)
5. Other ideas and themes (All)
6. Chair nominations and rotations: (Kathleen Shearer and Wolfram Horstmann)
subject specialists, data managers, librarians and policy makers
Group chairs serving as contacts: Wolfram Horstmann
Group maturity: more than 18 months