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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

This level of data curation is expensive!!

Reactome

EnsEMBLGenome

Annotation

EMBL-BankDNA sequences

UniProtProtein Sequences

Array-ExpressMicroarray

Expression Data

EMSDMacromolecularStructure Data

IntActProtein Interactions Source: Graham

Cameron, EBI

Flybase

MGD

SGD

BRENDA

Chemicaldata

resources

Medical data resources

Biodiversitydata

resources

IMGT

Pasteur DBs

Eumorphia/Phenotypes

Corebiomolecular

resources

Specialist biomolecular data resource examples

Mutants

Large resources in related disciplines

Model organism resource examples

Mouse AtlasSource: Graham

Cameron, EBI

Publisher

CreateDeposit

Link

Curate Preserve

Scientist

Funder

Blogs, wikis

Collaborate Share

User

Discover Re-use

Domain Data Deposit Model

Link

Link

Domain Data Centre

Domain Data Centre

Domain Data Centre

Scientist

ScientistScientist

Scientist

Policy & Advocacy

Link

Training Advocacy

Standards

Community standards

This work is licensed under a Creative Commons LicenseAttribution-ShareAlike 2.0 © Liz Lyon (UKOLN, University of Bath) 2007

Aggregator services

Institutional data repositories

Deposit , Validation

Publication

ValidationData analysis

Search, harvest

Presentation services / portals

Data discovery, linking, citation

Laboratory repository

Deposit

Institutions: eCrystals Federation (eBank Project)

Publishers: peer-review journals, conference proceedings, etc

Curation

Preservation

Subject Repository

Institution Library & Information Services

Data creation & capture in “Smart lab”

Data discovery, linking, citation

Search, harvest

Search, harvest

Deposit

Deposit

Deposit

Publisher

CreateDeposit

Link

Curate Preserve Standards

Scientist

Funder

Blogs, wikis

Collaborate Share

User

Discover Re-use

Federation Data Deposit Model

Link

Link

Scientist

Scientist

Scientist

Policy AdvocacyTraining

Aggregator ? Data Centre

Harvest

IR

IRIR

IR

Federation

This work is licensed under a Creative Commons LicenseAttribution-ShareAlike 2.0 © Liz Lyon (UKOLN, University of Bath) 2007

Legal and Ethical Issues• Synthesis

– 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.

Promote the repository service.

Relationships

With scientist as employer.

With data centre through expert staff.

http://www.flickr.com/photos/nrparmar/383549700/in/pool-bath-uni/

Data centre : curation of and access to data

Rights

To be offered a copy of data.

To select data of long-term value.

Responsibilities

Manage data for the long-term.

Meet standards for good practice.

Provide training for deposit.

Promote the repository service.

Protect rights of data contributors.

Provide tools for re-use of data.

Relationships

With scientist as “client”

With user communities.

With institution through expert staff.

With funder of service.

User : use of 3rd party data

Rights

To re-use data (non-exclusive licence).

To access quality metadata to inform usability.

Responsibilities

Abide by licence conditions.

Acknowledge data creators / curators.

Manage derived data effectively.

Relationships

With data centre as supplier.

With institution as supplier.

GridPP computing facilities at Imperial College, London

Funder : set/react to public policy drivers

Rights

To implement data policies.

To require those they fund to meet policy obligations.

Responsibilities

Consider wider public-policy perspective & stakeholder needs.

Participate in strategy co-ordination.

Develop policies with stakeholders.

Participate in policy co-ordination, joint planning & fund service delivery.

Monitor and enforce data policies.

Resource post-project long-term data management.

Act as advocate for data curation & fund expert advisory service(s).

Support workforce capacity development of data curators.

Relationships

With scientist as funder.

With institution.

With data centre as funder.

With other funders.

With other stakeholders as policy-maker and funder of services.

Publisher : maintain integrity of the scientific record

Rights

To expect data are available to support publication.

To request pre-publication data deposit in long-term repository.

Responsibilities

Engage stakeholders in development of publication standards.

Link to data to support publication standards.

Monitor & enforce public. standards.

Relationships

With scientist as creator, author and reader.

With data centres and institutions as suppliers.

                                                             

A centre of expertise in digital information management

www.ukoln.ac.uk

Dealing with Data Reportwill be published shortly at www.ukoln.ac.uk