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Transcript of Formalising data management plans for large scale multi-disciplinary projects Louise Corti and Susan...
Formalising data management plans for large
scale multi-disciplinary projects
Louise Corti and Susan CadoganUK 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 Micro (survey)
Household or individual level attributes, Behaviour, attitudes and options
Business/company 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 NEW!
Medical Research Council 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 teamUK Data ArchiveUniversity of EssexColchesterEssexwww.esds.ac.uk