Research Data Management (RDM) and Research Data

Service

Pauline WardResearch Data Service Assistant

pauline.ward@ed.ac.uk

Outline

• Research data and research data management (RDM) • University & Funder requirements• University of Edinburgh Research Data Service

o DMPonlineo DataStoreo DataSynco DataShareo DataVaulto PURE Datasets

• Research data support• Training

Research data management

• Data management is a general term covering how you organise, structure, store, and care for the data used or generated during the lifetime of a research project.

• It includes:

• How you deal with data on a day-to-day basis over the lifetime of a project,

• What happens to data in the longer term – what you do with it after the project concludes.

Research data

Activities involved in RDMType, format volume of data, chosen software for long-term access, existing data, file naming, structure, versioning, quality assurance process.

Information needed for the data to be read and interpreted in future, metadata standards, methodology, definition of variables, format & file type of data.

Restrict access to data, risks to data security, appropriate methods to transfer / share data, encryption, legal, ethical issues.

Secure & sufficient storage for active data, regular backups, disaster recovery

Make data publicly available (where possible) at the end of a project, license data, any restrictions on sharing, access controls?

Select data to keep, decide how long data will be kept, in which repository, costs involved in long-term storage? Data Management Planning

Day

-to-d

ay m

anag

emen

t of d

ata

Long

-term

man

agem

ent o

f dat

a

Why manage your data?

Image from the Journal of Open Psychology Data

Funder requirements

• Funders are increasingly requiring researchers to meet certain data management criteria.

• When applying for funding, you need to submit a technical or data management plan.

• You are expected to make your data publicly available at the end of your project for at least 10 years unless specified otherwise by your research funder.

• You should also include a short statement at the end of your publication describing how and on what terms any supporting research data may be accessed (OR JUST A DOI).

Funder requirements

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

University RDM Policy

2.Responsibility for RDM lies primarily with Principal Investigators (PIs).

3.All new research proposals must include research data management plans…

4.The University will provide training, support, advice and where appropriate guidelines and templates…

7.Research data management plans must ensure that research data are available for access and re-use where appropriate…

http://www.ed.ac.uk/is/research-data-policy

EPSRC research data framework & expectations

EPSRC Principal Investigators and the University must demonstrate to EPSRC that their expectations are being met. The 9 expectations are detailed at: https://www.epsrc.ac.uk/about/standards/researchdata/expectations/

• Key expectation 1: The data should be securely stored for at least 10 years

• Key expectation 2: An online record should be created within 12 months of the data being generated that describes the research data and how to access it.

• Key expectation 3: Published research papers should include a short statement describing how and on what terms any supporting research data may be accessed.

All researchers and research students funded by EPSRC are required to comply with these expectations.

EPSRC have introduced a policy framework addressing the management and provision of access to publicly-funded research data: https://www.epsrc.ac.uk/about/standards/researchdata/

EPSRC began monitoring compliance on 1st May 2015 on a case-by-case basis.

If it judges sharing of research data is being obstructed then it reserves the right to impose sanctions.

EPSRC Requirements: Briefing paper

https://info.maths.ed.ac.uk/assets/files/File%20for%20research%20pages/EPSRC%20Briefing%20Paper.pdf

ESRC updated its Research Data Policy* in March 2015. The updated policy is underpinned by nine new principles, which are aligned with the RCUK Common Principles on Data Policy.ESRC applicants who plan to generate data from their research must submit a data management and sharing plan as part of their application.The new ESRC Research Data Policy is not compulsory for postgraduate students**. However, ESRC-funded students are strongly encouraged to offer the UK Data Services copies of data created or repurposed during their PhD.

* http://www.esrc.ac.uk/about-esrc/information/data-policy.aspx** http://www.esrc.ac.uk/funding-and-guidance/postgraduates/esrc-students/index.aspx

Research Councils UK (RCUK) published the final version of Concordat on Open Research Data (28 July 2016), which sets out expectations of good practice in publishing research data openly.“This concordat will help to ensure research data gathered and generated by members of the UK research community is, wherever possible, made openly available for use by others in a manner consistent with relevant legal, ethical and regulatory frameworks and disciplinary norms, and with due regard to the costs involved*”.

http://www.rcuk.ac.uk/media/news/160728/?platform=hootsuite*http://www.rcuk.ac.uk/documents/documents/concordatonopenresearchdata-pdf/

ESRC Research Data Policy & RCUK Concordat on Open Data

Research Data Service

Data Management Plans

Free and open web-based tool to help researchers write plans: https://dmponline.dcc.ac.uk/

• Templates based on different requirements

• Tailored guidance (disciplinary, funder etc.)

• Customised exports to a variety of formats

• Ability to share DMPs with others

Includes University of Edinburgh-specific advice & information provided by the Research Data Service.

DMPonline screencast:http://www.screenr.com/PJHN

DMPonline

Example Data Management Plans are available on the RDM Forum Sharepoint site:https://uoe.sharepoint.com/sites/rdmforum/Shared%20Documents/Forms/AllItems.aspx?RootFolder=%2Fsites%2Frdmforum%2FShared%20Documents%2FSample%20DMPs&FolderCTID=0x012000DBD3CBB695CE0442B6845609A4260EC6&View=%7B0511B7A4%2DFAB6%2D4BCC%2DB581%2D6FDE06444488%7D

Software Management Plan

“Writing and using a software management plan”The Software Sustainability Institute

https://www.software.ac.uk/resources/guides/software-management-plans

DataStore• 0.5 TB (500GB) per researcher, PGR upwards

• to store data that are actively used in current research activities.

• Up to 0.25TB of each allocation can be used to create “shared” group storage.

• Cost of extra storage: £175 per TB per year= 1TB primary storage, 10 days online file history, 60 days backup, DR copy.

• Allocation is provided as a mapped drive (M: U: etc.) on staff desktops• Connect via “Run” or “Explorer” on Windows, or

“connect to server” on Mac/Linux* e.g., Target address: \\cse.datastore.ed.ac.uk\cse

DataStore & DataSync

DataSync• 'Dropbox-like’ file-hosting service for non-sensitive data:

https://datasync.ed.ac.uk

• Allows sharing and synchronisation of data using the ownCloud open source application.

• Sync using local clients.

• Share using local clients or web URL with colleagues anywhere.

• 20GB free storage or map to personal / group data on DataStore as required.

http://www.ed.ac.uk/schools-departments/information-services/computing/desktop-personal/datasync

• Edinburgh DataShare is the University’s OA multi-disciplinary data repository run by the Research Data Service: https://datashare.is.ed.ac.uk

• Assists researchers who want to share their data, get credit for data publication, and preserve their data for the long-term (DOI, licence, citation)

• It can help researchers comply with funder requirements to preserve and share their data and complies with Edinburgh’s RDM Policy.

Edinburgh DataShare

• New request-a-copy feature

• Increased capacity:• Up to 20 GB web

upload• Up to 100 GB by

batch import

Edinburgh DataShare

• Safe, private, store of data that is only accessible by the data creator or their representative.

• Not free of charge.

• Interim system is in place.• Deposit is facilitated by the Research Data Service. • Documentation is available on the University website. • You will be required to create a Pure dataset record.• Please allow several days for your deposit.

DataVault

Required fields

TitlePeopleManaging Organisational UnitPublisherDate made available

Optional fields

DescriptionAbstractData citationDOILinksAccess to the datasetAccess contact detailsKeywords

http://edin.ac/1OF8Auq

PURE datasets

Research data support

RDM ForumMailing list and

SharePoint site for CAHSS, CSE & CMVM

RDM training at the University of Edinburgh:http://www.ed.ac.uk/information-services/research-support/data-management/rdm-training

• Managing your research data: why is it important and what should you do?

• Creating a data management plan (DMP) for your grant application

• Working with sensitive and personal data

• Good Practice in Research Data Management

• Handling data with SPSS

RDM Training

http://datashare.is.ed.ac.uk/

www.ed.ac.uk/is/data-management

http://datablog.is.ed.ac.uk/

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

DataStore

https://dmponline.dcc.ac.uk/ http://edin.ac/1OF8Auq

http://www.ed.ac.uk/is/datasync

Ready by end-2016

http://www.ed.ac.uk/is/research-data-policy

Data catalogue in PURE

http://www.ed.ac.uk/files/atoms/files/rdm_service_a5_booklet_0.pdf

http://www.ed.ac.uk/information-services/research-support/data-management/rdm-training https://www.coursera.org/learn/data-management

RDM ForumMailing list and

SharePoint site for CAHSS, CSE &

CMVMhttps://mlist.is.ed.ac.uk/lists/info/rdm-forum

https://uoe.sharepoint.com/sites/rdmforum

Researchdata at

Edinburgh

Store in DataStore

Syn

c &

sha

re

Describe

datasets(m

etadata)

Fina

l dat

a at

the

end

of th

e pr

ojec

t Active data during project lifecycle

Cre

ate

DM

Ps

Thank you!

Questions?data-support@ed.ac.uk