IDCC11 Session A1: Data management and planning

9 December, 2011
Marieke Guy

Parallel Session A1 on data management and planning  

This session brought together presentations on creation of plans, skills needed to create them and co-ordination of approaches:

Development of a Pilot Data Management Infrastructure for Biomedical Researchers at University of Manchester – Approach, Findings, Challenges and Outlook of the MaDAM Project, Meik Poschen, University of Manchester

Meik Poschen from the University of Manchester began with a case study on the development of a Pilot Data Management Infrastructure for Biomedical Researchers at University of Manchester. 

At the onset the JISC-funded MaDAM project had found that the landscape was fragmented. The team had spent time investigating who were the best people to speak to and Meik argued that bringing together RDM stakeholders together was actually one of the key benefits of the work.

During the project MaDAM captured researchers' requirements for whom search and structure were crucial, and developed a pilot infrastructure as a first step in introducing a university-wide data management service for the University of Manchester.

One of the biggest challenges for the team was looking at their domain and keep the wider picture in mind. By the end of the project the team had worked towards a ‘Manchester’ solution (trusted storage, back up storage, quality metadata, open data) but there were still many problems to solve.

Some of the key issues the project had grappled with were: how do you make the best use of pilot-users time, how do you manage expectations and ensure solutions fall in line with working practices. The MiSS (MaDAM Into Sustainable Service) will pick up issues missed by MaDAM; it aims to be a service by March 2013.

DMPonline and DMP Tool: Different strategies towards a shared goal, Martin Donnelly, University of Edinburgh & Sherrie Lake, Virginia University

The UK focused DMPonline is one of the most successful in the DCC’s suite of tools. It originated from Data Management Plan (DMP) checklist created to help those applying for bids deal with funder requirements. An online version was created to allow users to concentrate on the sections relevant to them.

The US focused DMPTool was created earlier this year in response to a new National Science Foundation mandate stating that all must now have a two page data plan. The team of developers originally looked at the DMPonline tool but found that although there was much they could learn from it wasn’t directly applicable.

Martin Donnelly and Sherry Lake gave a joint presentation on the status of the two tools and their key differences.A full comparison of features list is available in the presentation.

To date the DMPonline has just under 800 registered users, there is often a spike in use around the time of funding calls. There are plans for v3.0 DMPonline to be released in early 2012, new features will include multiple templates, granular sharing of plans and hopefully endorsement from funders.

DMPTool has only 548 users but has only been live for one month!

Continued collaboration is planned and both teams would like to bring more countries on board.

The Data Management Skills Support Initiative: synthesising postgraduate training in research data management, Laura Molloy, University of Glasgow

Laura gave an overview of the Data Management Skills Support Initiative (DaMSSI) project which looked at the roles played out in the data curation lifecycle and the skillset required. 

Previous work on the Incremetal project had shown that RDM skills were not being embedded in courses and agreement was needed on what constitutes a basic set of post grad skills.

The project mapped the numerous recent training initiatives to the Seven Pillars of Information Literacy model developed by the Society of College, National and University Libraries (SCONUL) and delivered a set of recommendations to training providers.

Some of the most useful findings were the agreement of the importance of consistent description of materials and skills, and of deposit of materials in Jorum repository.

Building human and infrastructure capacity through a national approach: the ANDS experience, David Gooenewegan, Australian National Data Service (ANDS)

David Gooenewegan began by saying that the Australian National Data Service (ANDS) believe that "research data is a first class output of research" and all their initiatives are centred around this belief.

ANDS is a funder and has funded 76 different project on how we can better capture data and metadata from instruments; 13 projects are now completed. Everything they fund releases open source outputs.

Their recent programmes have included Seeding the Commons, looking at understanding what policies and planning support is required in institutions, and a Metadata Stores Programme; some of the developed solutions to help people to do this: ReDbox (IR-based), VITRO (RDF-based), Tardis (RDBMS), OCRA.