open data and research data management at the university of edinburgh: policies and services

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IASSIST 2014 Workshop Data Management & Curation: Lessons from Government

Open data and research data management at the University of Edinburgh: policies and servicesOpen Research Data: EPFL28 October, 2014Robin Rice,, EDINA and Data LibraryUniversity of EdinburghOverviewEdinburgh and data-driven scienceDrivers for Edinburgh (institutional) RDM PolicyResearch Data Management (RDM) Policy: key points, roles and responsibilitiesRDM Roadmap: implementing the policyRDM training for researchers and support staffChallenges in RDM support & open data advocacyUni. of Edinburgh and data-driven scienceSchool of Informatics, 1998-present Doctoral Training Programme in Data Science, 2014EPCC, 1990-presentSupercomputing infrastructure: HECToR and Archer; RDFInformation Services (Computing Service, ECDF)Data Library, 1984-presentEDINA, 1995-presentNational e-Science Centre & eSI, 2001-2011Digital Curation Centre, 2004-presentUniversity RDM Programme, 2012-presentEdinburgh Data Science initiative, 2014

Int/external drivers for Edinburgh RDM PolicyOECD Principles and Guidelines for Access to Research Data from Public Funding, 2007 (& 2004)Research Computing Survey, 2007Data Audit/Asset Framework (DAF), 2008-9Adoption of UK Research Integrity Offices Code of Practice for Research, 2009-10UK funders requiring Data Mgmt & Sharing PlansPublishers requiring underlying data be availableClimategate E. Anglia University email review, 2009 (Summer, 2011: EPSRC expectations published)

Code of Practice for Research (UK Research Integrity Office, 2009) by the universitys research office, obligating the institution to provide support for retention and access to data underlying published research.

Climategate email review at East Anglia University highlighting the reputational risk and legal accountability associated with staff not being forthcoming in response to Freedom of Information (FOI) requests for data from the public. 4

Edinburgh policy worldleControlling for the words data and research5UoE RDM Policy: key points for open dataThe University will provide mechanisms and services for storage, backup, registration, deposit and retention of research data assets in support of current and future access, during and after completion of research projects.

Any data which is retained elsewhere, for example in an international data service or domain repository should be registered with the University.Research data of future historical interest, and all research data that represent records of the University, including data that substantiate research findings, will be offered and assessed for deposit and retention in an appropriate national or international data service or domain repository, or a University repository.Policy: Roles, rights, responsibilitiesWho will support your researcher's planning?Who has responsibility during the research project? Who has archival responsibility?Who has rights in the data ? (What about collaborative research, what about subjects of research?)What responsibilities fall to the individual researcher, PI, department, college, university?Are students considered in the policy?Activities involved in RDMData Management PlanningCreating data Documenting dataAccessing / using dataStorage and backupSharing dataPreserving data

A Data LifecycleTitle goes hereUoE Research Data ManagementRoadmap (2012-2015)

Involvement from across University and Information ServicesPlanning: Support and services for planning activities that are typically performed before research data is collected or created

AD Infra: Facilities to store data that are actively used in current research activities, to provide access to that storage, and tools to assist in working with the data

Stewardship: Tools and services to aid in the description, deposit, and on-going management of completed research data outputs The University of Edinburgh

Support for DMPsINVOLVES:Research officeResearch administratorsRDM CoordinatorDCC (DMPOnline tool)Central IT consultantsLocal IT/web supportData LibraryAcademic Service Librarians

before research data are collected or created

Principal InvestigatorData InfrastructureINVOLVES:Central ITLocal IT & data mgrsInfo Services HelpdeskIT ConsultantsRDM & IT Committees(policy oversight)

Half TB storage/researcher Networked, secure backupDropbox-like serviceLong-term, private vault (proposed)

Data StewardshipINVOLVES:(Data) librarians Repository administratorsArchivistsRecords managersLocal data managersDisciplinary repositoriesStandards bodies

Ongoing curation of completed research data outputsAccess & preservationMetadata records, DOIs

DataShare RepositoryDataShare progress

August, 2010 to 18 October, 2014 totalling 16,961 with 9,806 unique visitors and 86,698 page views in Google Analytics (chart shows sessions per week).

TotalLatest month (September, 2014)Of which are new depositors162153Number of Items (datasets)Total size of deposited items: 111 GBTotal sessions (end-users and depositors)Data SupportGeneral consultancy and support service throughout the research processTraining & advocacySpecialised support (data collection, analysis, visualisation)

INVOLVES:Academic Service LibrariansData LibrariansIT ConsultantsLocal IT & Data ManagersPhD Supervisors & trainers16Research Data MANTRAOpenly licensed online learning self-paced course in RDM for postgrads and early career researchersEmbedded in at least 3 graduate schools at UoEVideo stories from researchers in variety of settingsInteractive quizzes make it funData handling exercises in four software analysis packages Continuous improvement: Four releases in 4 years buddha by .ash on FlickrAcademic Service Librarian TrainingData Library & User Services Division piloted training with 4 liaison librarians then all (12 more)Aimed to reuse MANTRA in a blended learning approach for academic liaison librariansMaterials gathered together in the DIY Training Kit for Librarians on the MANTRA website DCC 2014 UK survey - RDM services in placen=87 respondents at 61 institutions incl. 24 Russell Group. Angus Whyte, DCC,

87 respondents came from 61 institutions; 37% of the 163 listed by the Higher Education Statistics Agency. They included 100% of the Russell Group, and 55% of the 45 universities that cross our research income threshold but are not in the Russell Group (i.e. 71% of our target group in all). 19Challenges in RDM support & open data advocacyReaching critical mass of students and academics at point of need (timing, priorities, scheduling)Turnaround time in writing data management plansIdentifying RDM requests at helpdesk; proper routing to expert supportCosting intensive data services & in-depth support in grantsGetting balance right for private and open dataIncentivising sharingWorking upstream in research process is hard

DCC 2014 UK survey resultsObstacles to RDM provision (Table 8)

% (n=87)Lack of appropriate staff resources and infrastructure

71%Availability of funding

64%Low priority for researchers

56%Lack of relevant accepted standards

38%Lack of knowledge of appropriate solutions

36%Lack of appropriate skills and expertise to implement solutions

34%Low priority for management23%Prerelease Briefing 1, 23 April 2014. Angus Whyte, Diana Sisu, DCC.21


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