Formalising data management plans for large scale multi-disciplinary projects
Formalising data management plans for large scale multi-disciplinary projects Louise Corti and Susan Cadogan UK Data Archive IASSIST 2007 Overview Introduction Objectives of large scale Research Programme Data Management Policy Operating the Policy (getting tough) Role of the UKDA Outputs Challenges Rural Economy and Land Use Programme (RELU) The Research Programme is a large-scale unprecedented interdisciplinary collaboration between: Economic and Social Research Council (ESRC) Biotechnology and Biological Sciences Research Council (BBSRC) National Environment Research Council (NERC) The programme has a budget of £24 million, with additional funding provided by government agencies: Department for Environment, Food and Rural Affairs (DEFRA) Scottish Executive Environment and Rural Affairs Department Programme Objectives Rural areas in the UK are experiencing considerable change The Rural Economy and Land Use Programme (RELU) aims to advance understanding of the challenges they face Interdisciplinary research is being funded 2004-2009 in order to inform future policy and practice with choices on how to manage the countryside and rural economies The Rural Economy and Land Use Programme enables researchers to work together to investigate the social, economic, environmental and technological challenges faced by rural areas The Programme aims to encourage social and economic vitality of rural areas and promote the protection and conservation of the rural environment Six societal challenges public trust in food chains tackling animal and plant disease sustainable farming in the New Europe robust rural economics land management techniques to deal with climate change and invasive species managing land and water use for sustainable water catchments Themes and data The Integration of Land and Water Use The Environmental Basis of Rural Development Sustainable Food Chains Economic and Social Interactions with the Rural Environment Programme is both using and creating a variety of data sources disparate types of data – social and environmental and biological data estimate some 80 datasets from Call 1 (8 major research projects and smaller scoping studies) RELU data types Social data – people based Business/company Micro (survey) Household or individual level attributes, Behaviour, attitudes and options Farm level data Aggregated UK Census e.g. small area statistics, Retail statistics, Health indicators GIS/spatial data geographically referenced environmental databases Ordnance survey, Road networks, Settlement RELU data types (cont.) water quality, land fill, air quality, emission levels soil data, eg mineral composition ecological data, animal and bird distributions agricultural census climate and meteorological data river flow data biochemical data relating to foods/habitats RELU Data Management Policy Early on data management formally recognised by funders as critical builds on existing ESRC and NERC mandatory data policies aims to enhance the capabilities for interdisciplinarity and thus improves the ability of the research community to: apply learning from one field to another combine different methodological approaches and sources of information cross-fertilise ideas and concepts understand scientific, technological and environmental problems in their social and economic contexts www.relu.ac.uk/about/data.htm Data Management Policy principles publicly funded research data are a valuable, long term resource to ensure maximum research exploitation data must be managed effectively from day-1 researchers must collect data in such a way as to ensure longer term sharing RELU funds will support data management through the life of the project data must be made available by researchers for archiving: Research Council supported data centres provide long-term, post-project data management RELU Data Support Service set up to help oversee and implement the Programme's Data Management Policy and Data Management Plan provides a support service for RELU researchers and staff to gain information and guidance on issues surrounding longer-term data sharing and preservation joint support service run by: ESRC/JISC supported UK Data Archive at Essex (UKDA) The NERC-supported Centre for Ecology & Hydrology (CEH) funded initially for one year supporting one FTE and outreach activities: 1 Jan 05 – 31 Dec 05. Continuation to March 2008 Outputs Getting wording of DM Plan and guidance right Web site to support completing application Web site to support completing plan once funded Workshops for new Principal Investigators Workshops for new researchers Best Practice Guide on Data Management Third party data information – costs, barriers, licensing Database of all data being created Acquire data, process and disseminate data Advice on data integration Data Management Plan proforma to complete (Section 3 of the Project Communication and Data Management Plan) highlighting data management and custody issues at an early stage providing a basis for quality assurance within the Programme providing a basis from which award holders and the Programme Director can report and monitor project and overall RELU Programme progress Information required from plan requirements for access to existing datasets details of new and derived datasets to be produced quality assurance of data formats and standards data description and documentation ethical, legal issues and IPR resolution data back-up procedures, security archiving data (for Research Council data archives) data management representative RELU-DSS helps support these areas RELU awards database Guidance on Data Management Produced glossy brochure What is Data Management? Data, metadata etc. Data Management strategies What is Digital Preservation? Making Back-ups Format Translation and Choice of Formats Security Our experience This degree of formalisation is new to social science data in the UK UKDA operate a Datasets Policy for Economic and Social Research Council (ESRC) but with less leverage upfront DMP and DM support ensures potential sharing issues to be clarified early on and support mid and end of project Greater awareness of data, metadata documentation, and data sharing….albeit grudgingly Integration of data is key for this programme Other disciplines (UK) Policies Natural Environmental Research Council (6% of each Programme) Arts and Humanities Research Council ICT review (AHDS History) Biological Sciences Research Council Medical Research Council NEW! STILL WAITING! We hope to see DMPs applied to all major investment data-rich ESRC programmes Contacts Louise Corti [email protected] Susan Cadogan [email protected] Acquisitions team UK Data Archive University of Essex Colchester Essex www.esds.ac.uk
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