Briefing on Research Data Management at LSBU December 2015
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This document outlines a briefing on research data management (RDM) at LSBU. It defines RDM and research data, discusses why RDM has gained increased interest and attention due to factors like funder policies and legislative changes. It describes the benefits of RDM for researchers and institutions. It then outlines LSBU's RDM policy, which includes requirements for data management plans, data storage, sharing, and citation. The document discusses next steps for LSBU, including a survey of current practices, case studies, interviews, and launching an institutional data repository in 2016. It notes both opportunities, like training workshops, and challenges to implementing RDM, such as changing researcher behaviors and incentives.
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Briefing on Research Data Management at LSBU December 2015
- 1. Briefing on Research Data Management at LSBU Stephen Grace Scholarly Communications & Repository Manager
- 2. Outline 1. What is Research Data Management (RDM)? 2. Why the interest and attention on RDM? 3. Why bother? 4. LSBU policy 5. What is involved in RDM? 6. What next at LSBU? 7. Opportunities and Challenges
- 3. WHAT IS RESEARCH DATA MANAGEMENT?
- 4. What is RDM?
- 5. What is Research Data? the recorded information (regardless of the form or the media in which they may exist) necessary to support or validate a research project’s observations, findings or outputs. Policy on the Management of Research Data and Records, University of Oxford, 2013
- 6. What is RDM? Research Data Management isn't principally about complying with policy - at heart it means helping you to complete your research, share the results, and allow you to get credit for what you have done. Professor Kevin Schurer, University of Leicester
- 8. The culture of research data The modern data-rich environment for research and learning and the open culture that is needed to exploit it presents new challenges. These are twofold: creating a setting that will encourage their researchers to adapt their ways of working and developing, and implementing strategies to manage the knowledge that they create… Institutions need to make information and knowledge management part of their organisational strategy. Science as an Open Enterprise, Royal Society, 2012, p71
- 9. INTEREST AND ATTENTION? Why the
- 10. Drivers for RDM • Research Integrity • Legislative Change and Regulatory Compliance • Funders' Data Policies • Research is Global and more ‘Data Intensive’ • Institutional Policy Responses Whyte, A., Tedds, J. (2011). ‘Making the Case for Research Data Management’. DCC Briefing Papers. Edinburgh: Digital Curation Centre. Available online: http://www.dcc.ac.uk/resources/briefing-papers/making-case-rdm
- 11. WHY BOTHER?
- 12. Why bother? • Good RDM saves researcher time • Enables new forms of science – data- intensive research methods across the disciplines • Enhances reputation of individuals and institutions • Data are a public good for public benefit, often created with public money
- 13. LSBU POLICY ON RDM
- 14. 1. Research data must be created, maintained and shared in accordance with contractual, legislative, regulatory, ethical and other relevant requirements 2. Rights assigned to research data should not unnecessarily restrict its management, sharing, or use
- 15. 3. A Data Management Plan should be produced for all research projects that are creating or capturing data 4. Research data created or captured by researchers must be registered with the University, irrespective of whether it is hosted at the University or elsewhere
- 16. 5. Research data must be held in a managed storage environment throughout the period of retention 6. Research data created or captured by LSBU researchers should be offered to an appropriate data repository or enclave designated by LSBU or Funder, except in circumstances that would breach IPR, ethical, confidentiality, or other obligations
- 17. 7. Research data that substantiate research findings should be made available for access and use in a timely manner, within the boundaries of conditions established by contractual, legislative, ethical, or other requirements 8. Research data produced and/or used during research must be cited in research outputs
- 18. 9. Management and sharing of research data should be supported through the allocation of research funding, where permitted Policy approved by Research Committee on 4 Nov 2015, and adopted by Academic Board on 11 Nov 2015
- 20. • DCC
- 21. WHAT NEXT AT LSBU?
- 22. Jan-Jun 2016 timeline • Survey staff on current practice, any problems and help sought (using CARDIO) • In-depth case studies (using DAF) • Interviews with Professional Services staff and senior managers • Results and recommendations to Research Committee by summer 2016
- 23. Opportunities • LSBU Research Data Online – new data repository launching in early 2016 • Help writing Data Management Plans • Training workshops for academics and research students – Big appetite for open data amongst PhDs!
- 24. Challenges • We don’t know what our academics want • There may be reluctance to invest – plenty of evidence of this elsewhere • Willingness of academics to change their behaviour: incentives are not linked to reward mechanisms
- 25. Questions? Stephen Grace Scholarly Communications and Repository Manager Library and Learning Resources Tel: +44 (0)20 7815 6634 Email: graces5@lsbu.ac.uk Twitter: @StephenGraceful ORCiD: 0000-0001-8874-2671
Editor's Notes
- The Drivers There has been a decisive shift towards greater oversight of the research process motivated by the driving principle of data as a public good. This shift is seen in the concerns of policy-makers, and in changes in legislation and its implementation. The needs are being addressed through coordinated action by funders including the UK Research Councils, charities and JISC, with significant responsibilities falling to HEIs and individual researchers. Research Integrity Research integrity is a key issue for policy-makers. The House of Commons Select Committee on Science and Technology concluded in 2011 “…employers must take responsibility for the integrity of their employees’ research”. They also call for regulatory oversight to ensure funders and institutions fulfil their responsibilities [1]. Data management is a means to assure research integrity, and the UK Research Integrity Office (UKRIO) states in its Code of Practice: Organisations should have in place procedures, resources (including physical space) and administrative support to assist researchers in the accurate and efficient collection of data and its storage in a secure and accessible form. Researchers should consider how data will be gathered, analysed and managed, and how and in what form relevant data will eventually be made available to others, at an early stage of the design of the project [2]. Legislative Change and Regulatory Compliance A related point is that effective data management can mitigate risks to institutional reputation. These may surface as researchers balance requirements for disclosure and confidentiality. Measures to comply with Data Protection and Freedom of Information legislation need constant monitoring, given rulings by the Information Commissioners Office on the withholding of research data requested through FOI, for example. Partly in response to the Independent Climate Change Emails Review in 2010 JISC developed new guidance for researchers in responding to FOI requests for research data [3]. Dr Malcolm Read, executive secretary of JISC, said at the time: “…We need to move away from a culture of secrecy and towards a world where researchers can benefit from sharing expertise throughout the research lifecycle” [4]. Funders' Data Policies To foster good practice, Research Councils UK has coordinated a statement of Common Principles on Data Policy (see box below) asserting that “..making research data available to users is a core part of the Research Councils’ remit”. The DCC tracks and summarises funder policies, including Research Councils and some major charities [5]. The EPSRC, for example now requires research organisations to preserve data securely for at least 10 years, and “… ensure that effective data curation is provided throughout the full data lifecycle, with ‘data curation’ and ‘data lifecycle’ being as defined by the Digital Curation Centre” [6]. The increasing UK activity in this area parallels significant international effort, especially across Europe, the US, and Australasia [7]. In the US, the National Science Foundation has mandated Data Management Plans as a condition for funding, and the European Commission is to require these plans for projects funded in its 8th Framework programme from 2014. See more at: http://www.dcc.ac.uk/resources/briefing-papers/making-case-rdm#Drivers Research is Global and more 'Data Intensive' Funders expect UK research to be international in scope. The Royal Society has reported that over a third of all articles published in international journals are internationally collaborative, up from a quarter 15 years ago [8]. Researchers need data management tools and services to work this way. Research data is itself often seen as a form of infrastructure, as it is the basis for ‘data intensive’ research; a trend spreading from fields such as genomics and astronomy across many domains. As the European Commission Riding the Wave report points out, this trend calls for ‘collaborative research data frameworks’ [9]. These should help develop the emerging pan-European collaborative research data infrastructure, and avoid isolating the islands of good practice. Institutional Policy Responses In response to these drivers, some UK Universities have started to develop policies on research data management [10]. Oxford University published its Commitment to Research Data Management in 2010 [11]. The University of Edinburgh’s adoption of the UKRIO Code of Practice for Research was an important stepping-stone to its Research Data Management Policy, announced in 2011 [12]. The policies do the following: Identify areas of responsibility for the institution and for researchers Commit the university to develop appropriate guidelines, training and support, including mechanisms and services for storage and backup Support deployment of data repositories and/ or mechanisms for registering metadata about research data Recognise that management and curation of research data requires cooperation and coordination with research funders, and with existing national and international providers of data services and subject-based repositories - See more at: http://www.dcc.ac.uk/resources/briefing-papers/making-case-rdm#Drivers