Case Studies in Research Data Management
- Research Data Management
- Maria A. Jankowska
Charles E. Young Research Library, UCLA
Erasmus University Rotterdam's Approach to Supporting Researchers with Data Management and Storage
- Paul Plaatsman
Erasmus University Rotterdam
As in other Dutch academic institutions we talked a lot about research data. With cases about fraud within our university and other universities in the Netherlands, policy makers and university boards became more demanding on the university libraries helping out with better storage of research data and educating PhD and young researchers about proper ways of handling their research data. So from talks we had to get into action. We are presently doing so by offering an information course about research data within our already existing Research Matters portal. We also want to offer our researchers a safe environment to store their research data for the mid-long term, 5 to 10 years, and think about solutions for the dataset that needs to be stored indefinitely in the national data archive: DANS. We do a pilot with three types of dataset: experimental, survey and qualitative from researchers of the Erasmus Research Institute of Management (ERIM) in the Dutch Dataverse Network, hosted by the University of Utrecht. This Dutch Dataverse Network facility is now being used by four Dutch Universities.
RDM Roadmap@Edinburgh - An Institutional Approach
- Stuart Macdonald, Robin Rice
EDINA & Data Library, University of Edinburgh
The first institutional Research Data Management (RDM) policy by a UK Higher Education Institution was passed by the Senate of University of Edinburgh in May 2011. This paper discusses plans to implement this policy by developing services needed to support researchers and fulfill the University's obligations within a changing national and international setting. Significant capital funding have been committed to a major RDM and storage initiative led by Information Services (IS) for the academic year 2012-13. An RDM steering group, made up of academic representatives from the three colleges and IS, has been established to ensure that proposed services meet the needs of university researchers. It also oversees the activity of an IS cross-divisional RDM Policy Implementation Committee, charged with delivering those policy objectives. An RDM Roadmap (http://www.ed.ac.uk/polopoly_fs/1.101223!/fileManager/UoE-RDM-Roadmap201121102.pdf) was published in November 2012 to provide a high level overview of the work to be carried out. The roadmap focuses on four strategic areas: data management support, data management planning, active data infrastructure and data stewardship. IS will take requirements from research groups and IT professionals, and are conducting pilot work involving volunteer research units within the three colleges to develop functionality and presentation for the key services.
The Dataverse Network and Open Journal Systems Project to Encourage Data Sharing and Citation in Academic Journals
- Eleni Castro
Institute for Quantitative Social Science (IQSS), Harvard University
As data sharing technology and data management practices have developed over the past decade, academic journals have come under pressure to disseminate the data associated with published articles. Harvard University's Institute for Quantitative Social Science (IQSS) recently received a two year grant from The Alfred P. Sloan Foundation to partner with Stanford University's Public Knowledge Project (PKP) in order to help make data sharing and preservation an intrinsic part of the scholarly publication process, and create awareness specifically among journal editors and publishers. This presentation will provide an overview of the collaboration between PKP's Open Journal Systems (OJS), and IQSS's Dataverse Network (DVN) team who are currently working on building the needed technology that will support seamless publication of research data and articles together; and to support new forms of social science data, readership and analysis. The immediate impact of the project will be to increase the number of readily replicable articles published, and the number of social science journals that adopt best data management and citation practices. The broadest impacts of the project will be to increase the pace of discovery in the social sciences, and to broaden the research opportunities for younger scholars.
Disciplines, Differences and Data: Targeted Institutional Approaches to Research Data Management from the Jisc MRD Program
- Laura Molloy
HATII, University of Glasgow
- Simon Hodson
Jisc, Jisc Managing Research Data Program
Driven by new research objectives and opportunities requiring the interdisciplinary reuse of data as well as research funder and (increasingly) journal policies, the case for skills in research data management (RDM) is becoming clearer to researchers of all disciplines. Some disciplines are historically well-served by national data centers and perpetuate a culture of organized data deposit, management, sharing and re-use. Many other researchers, however, work in disciplines without this heritage or produce data which is not appropriate for data center hosting. Institutions face a concomitant rise in responsibility for the formulation and delivery of appropriate and accessible RDM services and infrastructure for their researchers. Across the UK, the Jisc Managing Research Data program is stimulating improved RDM practice across disciplines and staff groups via development of tailored policy, services, technical infrastructure and training. Our paper will describe the work of the program and complementary work by the Digital Curation Centre. We shall discuss emerging models in institutional approaches which may be of use elsewhere. Above all, we shall examine how data management planning and training activities may be enhanced by a consideration of disciplinary differences and suggest the benefits of drawing on expert partners beyond the institution.