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Supporting Research Data Management in Universities:

the Jisc Managing Research Data Programme

Simon Hodson

JISC Programme Manager, Managing Research Data

Monday 3 June 2013

University of Nottingham

Why is managing research data important?

JISC considers it a priority to support universities in improving the way

research data is managed and, where appropriate, made available for reuse.

Research funder policies, legislative frameworks, good practice, open data

agenda

– The outputs of publicly funded research should be publicly available.

– The evidence underpinning research findings should be available for validation

– Greater return on investment through reuse of research data

Good data management is good for research

– More efficient research process, avoidance of data loss, research benefits of data reuse

Alignment with university missions.

– Universities want to provide excellent research infrastructure.

– Universities want to have better oversight of research outputs.

What is driving the research data agenda?

Research Funder Policies

Build on OECD principles: http://www.oecd.org/sti/sci-tech/38500813.pdf

Related to OA: the outputs of publicly funded research should be publicly

available.

All major UK funders have policies and requirements on research data.

US funders require DMPs (NSF) and promote data sharing.

US Office of Science and Technology Policy Memorandum ‘Expanding Public

Access to the Results of Federally Funded Research’:

http://www.whitehouse.gov/blog/2013/02/22/expanding-public-access-results-

federally-funded-research

EC Horizon 2020 will require Data Management Plans.

Evidence of benefits of data reuse and greater return on investment.

What is driving the research data agenda?

Legal and Ethical Frameworks

Data Protection Act and other controls on sensitive information.

– See guides from UKDA http://www.data-archive.ac.uk/create-manage/consent-

ethics

Freedom of Information and Environmental Information Regulations

– Qualified exemption for programmes of research under Scottish FOIA will be

applied to rest of UK.

– Notable cases: UEA, QUB, Stirling (dropped)

UK Research Integrity Office Code of Practice for Research:

http://www.ukrio.org/what-we-do/code-of-practice-for-research/

Research Integrity Concordat:

http://www.hefce.ac.uk/whatwedo/rsrch/rinfrastruct/concordat/

Improving data management and data sharing

Addressing two related challenges

Good data management is good practice

– Avoidance of data loss.

– Effective research: file naming, annotation etc: how do you find your data, how do

you understand it?

– ‘The first person with whom you share your data is your future self’!

Data sharing / data publication is good for research

– Verification of research findings / Deterrence of fraud

– Reproducibility of research / Science as a self-correcting process

– Benefits of data reuse: asking new questions of old data: return on investment

– Metastudies/systematic review: greater statistical value of integrated results.

– Integration of data in interdisciplinary research: the grand challenges require

multiple data sets

Royal Society

Science as an Open Enterprise Report, 2012

‘how the conduct and communication of

science needs to adapt to this new era

of information technology’.

‘As a first step towards this intelligent

openness, data that underpin a

journal article should be made

concurrently available in an

accessible database. We are now on

the brink of an achievable aim: for all

science literature to be online, for all of

the data to be online and for the two to

be interoperable.’

Royal Society June 2012, Science as an

Open Enterprise,

http://royalsociety.org/policy/projects/sci

ence-public-enterprise/report/

Science as an Open Enterprise Report:

six key changes

1. a shift away from a research culture where data is viewed as a private

preserve;

2. expanding the criteria used to evaluate research to give credit for useful

data communication and novel ways of collaborating;

3. the development of common standards for communicating data;

4. mandating intelligent openness for data relevant to published scientific

papers;

5. strengthening the cohort of data scientists needed to manage and support

the use of digital data (which will also be crucial to the success of private

sector data analysis and the government’s Open Data strategy);

6. the development and use of new software tools to automate and simplify the

creation and exploitation of datasets.

Royal Society 2012, Science as an Open Enterprise,

http://royalsociety.org/policy/projects/science-public-enterprise/report/

Development of Institutional RDM Capacity

The Royal Society Science as an Open Enterprise report recommended that

the JISC Managing Research Data Programme ‘should be expanded beyond

the pilot 17 institutions within the next five years.’

[Royal Society 2012, Science as an Open Enterprise, p.73]

Opportunities… Imagine the significance of the research collections of key departments/research groups, departed PGRs, researchers. Don’t underestimate the research value of the stuff that underpins your research, that you make during your research.

…and Risks Are we at risk of losing research income if we don’t meet funder expectations? How can we ensure our research departments don’t lose out?

What are other research intensives doing?

What is Jisc doing?

Jisc Managing Research Data Programme: developing capacity and good

practice

– First MRD Programme, 2009-11: http://bit.ly/jiscmrd2009-11

– Selected outputs from the first programme: http://bit.ly/jiscmrd2009-11-outputs

– Second JISC MRD Programme, 2011-13: http://bit.ly/jiscmrd2011-13

– Programme Manager Blog: http://researchdata.jiscinvolve.org/

Digital Curation Centre: ‘because good research needs good data’

– Advice, guidance, advocacy, training in RDM: http://www.dcc.ac.uk/

– How to Guides: http://www.dcc.ac.uk/resources/how-guides

Janet Brokerage: Collaborative purchasing, B2B brokerage.

– Suite of services (generic research tools, cloud storage): https://www.ja.net/products-

services/janet-brokerage

Building Institutional Capacity:

Second MRD Programme, 2011-13

Second JISC MRD Programme, 2011-13: http://bit.ly/jiscmrd2011-13

Institutional RDM

Infrastructure Services

17 Projects

RDM Training

5 projects

RDM Planning

10 projects

Data Publication

3 projects

Ownership: High level

ownership of the problem,

senior manager on

steering .

Sustainability: Large

institutional contributions.

Develop business cases

to sustain work.

Encouraged to reuse

outputs from first

programme and

elsewhere.

Mix of pilot projects and

embedding projects.

Holistic institutional

approach to RDM.

Jisc MRD RDM Infrastructure Projects

Data Management Planning

Managing Active Data

Processes for selection and

retention Deposit / Handover

Data Repositories/Catalogu

es

Components of research data management support services

RDM Policy and Roadmap Business Plan and

Sustainability

Guidance, Training and Support

Research Data Registry

Data Management Planning

Selection and Retention Deposit / Handover

Advocacy, Guidance, Training and Support

RDM Policy and Roadmap

Business Plan and Sustainability

DMPonline

Guidance

Templates

DataStage

Academic Dropbox

Active Storage

Guidance

Good Practice

Case Studies

SWORD Protocol

Easy Uploader

Metadata Identifiers Guidance

Coordination

Jisc / Jisc-mediated Products

Guidance

Good Practice

Coordination

Research Data Registry

Training and Advocacy Resources

Institutional RDM Support Service Jisc / Jisc-mediated

Products

Archival Storage

Data Repositories/Catalo

gues

Managing Active Data

Products map to components of RDM support services. Arrows in indicate products delivered. Red arrows out indicates data hosting or metadata transfer to external service.

University RDM Guidance Pages

http://www.gla.ac.uk/services/datamanagement/

University RDM Guidance Pages

http://www.admin.ox.ac.uk/rdm/

University RDM Guidance Pages

http://www.bath.ac.uk/research/data

University RDM Guidance Pages

http://www.southampton.ac.uk/library/research/researchdata/

University RDM Guidance Pages

http://www2.le.ac.uk/services/research-data

Institutional Policies and Roadmaps

Institutional Research Data Management Policies:

http://www.dcc.ac.uk/resources/policy-and-legal/institutional-data-policies/uk-

institutional-data-policies

Institutional Roadmaps to meet EPSRC Expectations on Research Data:

http://www.dcc.ac.uk/resources/policy-and-legal/epsrc-institutional-roadmaps

JISCMRD Training Projects Phase 1 and 2

Need for subject focussed research data management / curation training, integrated with

PG studies

Five projects in the first programme to design and pilot (reusable) discipline-focussed

training units for postgraduate courses:

http://www.jisc.ac.uk/whatwedo/programmes/mrd/rdmtrain.aspx

Heath studies; creative arts; archaeology and social anthropology; psychological sciences;

social sciences and geographical sciences: http://www.dcc.ac.uk/training/train-

trainer/disciplinary-rdm-training/disciplinary-rdm-training

Four projects in the second programme:

http://researchdata.jiscinvolve.org/wp/2012/08/23/research-data-management-training-five-

new-jiscmrd-projects/

Psychology and computer science; digital music; physics and astronomy; subject and

liaison librarians.

MANTRA Training Materials, University of Edinburgh

Online course built using OS Xerte

toolkit.

Sections include:

– DMPs

– Organising Data

– File Formats and Transformation

– Documentation and Metadata

– Storage and Security

– Data Protection

– Preservation, sharing and licensing

Also software practicals for users of

SPSS, R, ArcGIS, Nvivo

Research Data MANTRA:

http://datalib.edina.ac.uk/mantra/

Sharing and remixing training materials!

MANTRA RDM Training materials: http://datalib.edina.ac.uk/mantra/

UEL supportDM training course: http://www.uel.ac.uk/trad/activities/

DCC / Northampton, RDM for Librarians: http://www.dcc.ac.uk/training/rdm-librarians

Nottingham Short Course on RDM: http://admire.jiscinvolve.org/wp/2013/04/22/adapting-

using-and-re-using-rdm-training-materials/

Summary from Laura Molloy on MRD Evidence Gatherer blog:

http://mrdevidence.jiscinvolve.org/wp/2013/04/19/413/

Lincoln Orbital Project: Joining up Institutional Systems: http://orbital.blogs.lincoln.ac.uk/2012/12/06/orbital-deposit-of-dataset-records-to-the-lincoln-

repository-workflow/

Research Data and Institutional Systems for Research Management

Lincoln Orbital Project: Joining up Institutional Systems: http://orbital.blogs.lincoln.ac.uk/2012/12/06/orbital-deposit-of-dataset-records-to-the-lincoln-

repository-workflow/

Images from presentation by Joss Winn to Jisc MRD workshop: http://orbital.blogs.lincoln.ac.uk/2013/03/28/team-meeting-notes-winding-down-tidying-up-

moving-forward/

Where should data go?

Research Data

International Discipline Data Centre

(WDS)

Institutional Repository (JISCMRD)

Journal-related Data Repository

(Dryad)

National Discipline

Data Centre

(UKDS, BADC)

University Data Repositories

https://ore.exeter.ac.uk/repository/handle/10871/502

University Data Repositories

http://data.bris.ac.uk/datasets/12mjtnrtsdjfs17sl4pq2ucqrk/

University Data Repositories

https://databank.ouls.ox.ac.uk/general/datasets/Tick1AudioCorpus

Metadata Schema for Institutional Data Repositories

http://www.data-archive.ac.uk/media/375386/rde_eprints_metadataprofile.pdf

Institutional data repositories

as an elevator for data collections

Research

Project

Data Store

Institutional

Data

Repository

Selection

/ Triage

Disciplinary

Data

Archive

Funder

Research

Outputs

Institutional

Data

Catalogue

UK Research

Data Discovery

Service

Institutionally

Managed

Locally

Managed

UK Research Data

Discovery Service

Pilot Project

National Service