A centre of expertise in digital information management www.ukoln.ac.u k UKOLN is supported by: Dealing with Data: Roles, Rights, Responsibilities & Relationships Dr Liz Lyon, Director, UKOLN Associate Director, UK Digital Curation Centre JISC Digital Repositories Conference, Manchester June 2007. This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0
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A centre of expertise in digital information management
www.ukoln.ac.uk
UKOLN is supported by:
Dealing with Data: Roles, Rights, Responsibilities & Relationships
Dr Liz Lyon, Director, UKOLN
Associate Director, UK Digital Curation Centre
JISC Digital Repositories Conference, Manchester June 2007.
This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0
Overview
• Outcomes of a recent JISC-funded study by UKOLN– Institutions (repositories) and data centres– Roles, rights, responsibilities, relationships– High-level data-flow models
• Positioned in the UK context– 8 perspectives from Strategy to Practice– Examples of best practice– Recommendations
Strategy & Co-ordination• Synthesis
– Funder support for data curation is (still) patchy– Gaps in infrastructure support– High level and strategic – Operational level and practical : data services & data centres– Within and between institutions – Within and between disciplines : globally
• Recommendations– Datasets Mapping & Gap Analysis– Data Curation & Preservation Strategy for the UK– Data Audit Framework for institutions– Data Networking Forum for data centre staff
Policy & Planning
• Synthesis – Limited formal links between programme planning and support infrastructure but
examples of good practice– Formal data policies are essential– Web 2.0 influence: data sharing using social software– Better joint planning for data management
• Recommendations– Funders should openly publish, implement and enforce a Data Management,
Preservation and Sharing Policy– Research projects should submit a Data Management Plan for peer-review– Universities should implement an Institutional Data Management, Preservation
and Sharing Policy
A centre of expertise in digital information management
www.ukoln.ac.uk
January 2007
Data Management and Sharing Plan required “if creating or developing a resource for the research community as the primary goal” or “involve the generation of a significant quantity of data that could potentially be shared for added benefit”
NATURALENVIRONMENTRESEARCH COUNCIL
NERC has:
• 7 designated data centres
• Published policy (under review)
• Data Management Co-ordinator
• Developing DataGrid
General Data Selection Criteria • Usability
– Quality of data– Usable data format– Conditions of Use– Reputable Author– Documentation
• Usefulness– Data quality– Uniqueness of data– Potential Strategic Use– Usefulness of parametersNATURAL
ENVIRONMENTRESEARCH COUNCIL
Practice• Synthesis
– Data capture automatically at source from instruments, in the lab, in the field– Not much data in Institutional Repositories (IR)…. yet?– Integrated architectures linking IRs and datacentres– Models for sharing data? – Barriers: lack of awareness, resistance to change– Level of re-use of data?
• Recommendations– Data capture as part of end-to-end research workflow– Evaluate re-purposing of datasets: identify the significant properties which
facilitate re-use – Develop Disciplinary Case Studies
Technical Integration and Interoperability
• Synthesis – Data are highly complex and diverse– Data discovery to delivery– Standards, standards, standards, standards….– Value of generic data models, metadata application profiles?
• Recommendations– Identifiers and data citation best practice– Version control of datasets– Annotation models and standards best practice– Bi-directional interdisciplinary linking between data objects and derived
resources
Microarray data to inform gene expression• Consensus on community standards MIAME• Data pipelines at source via Laboratory Information Management Systems
LIMS• User tools MIAMExpress & value-added services• Annotation of data using the Gene Ontology• Submission & deposit is embedded in community culture: requirement for
publication• Training programme, eLearning materials coming
– IPR is a barrier to data sharing e.g. geospatial data, performing arts– We need a better understanding of the issues
• Recommendations– JISCLegal provide enhanced advice about data and IPR– Develop model licences with other organisations
Sustainability• Synthesis
– Are current economic models for preservation & data sharing infrastructure a) appropriate? b) adequate? c) sustainable?
– Should inform research prioritisation and investment
• Recommendations– Cost-benefit study– Construct new economic models
Advocacy• Synthesis
– Programmes need to reach across sectors– Harmonisation and consistent messages – Researcher has some curatorial responsibility
• Recommendations– UK Co-ordination and target at specific disciplines
Training and Skills• Synthesis
– Leverage library & archive experience, EU projects DPE and PLANETS– Data curators and “native data scientists”
• Recommendations– Co-ordination: in the UK– Review career development of data scientists– Assess value of data handling and curation in the curriculum
UK Digital Curation Centre
http://www.dcc.ac.uk/
Scientist : creation and use of dataRights
Of first use.
To be acknowledged.
To expect IPR to be honoured.
To receive data training and advice.
Responsibilities
Manage data for life of project.
Meet standards for good practice.
Comply with funder / institutional data policies and respect IPR of others.
Work up data for use by others.
Relationships
With institution as employee.
With subject community
With data centre.
With funder of work.
Baroness Susan Greenfield, UK
Institution : curation of and access to data
Rights
To be offered a copy of data.
Responsibilities
Set internal data management policy.
Manage data in the short term.
Meet standards for good practice.
Provide training and advice to support scientists.