All urls and links will be available on the last slide
25 years ago disk storage - expensive researchers interested in working with data came together to petition the PLU and the University’s Library – wanting a university-wide provision for files that were too large to be stored on individual computing accounts Early holdings were research data from universities of edinburgh, glasgow, and strathclyde
UKBORDERS Digimap Collection Go-Geo! Agcensus Moving pictures and sound services - EIG, newsFilm Online Plus A&I databases The Depot HILT GetRef LOCKSS PePRS
Social science researchers and scientists who are producers and users of micro and macro-level social data; Information specialists who preserve social data, manage facilities and provide services that promote the secondary use of social data Methodologists and computing specialists who advance technical methods to manipulate and analyze social data Membership Usually 60% US / Canada, 30% Europe, less than 10% others
Primarily social sciences but not exclusively so, large scale government surveys (micro data), macro-economic time series data (country-level data), Elections studies, Geospatial data, financial datasets, population census data Free on internet / subscription / through national data centres/archives / resource discovery portals Registration / authorisaiton and authentication / special conditions / budget to pay for data SPSS, STATS, SAS, R, ArcGIS – interpret documentaiton/codebooks, merge and match users data with other data (via look-up tables), subset data Data Catalogue
Training for postgraduates and early career researchers These were the School of Divinity, School of History, Classics and Archaeology), School of Biomedical Sciences), (School of Molecular and Clinical Medicine), (School of Physics and Astronomy). Also, the School of Geosciences
Digital Curation centre, Data Library, Information Services Infrastructure, Research Computing, Library & Collections Concern is both for the shorter term – ensuring competitive advantage through secure and easy-to-use access, and for the longer term – ensuring enduring access and usability to the research community into the future and compliance with legislation. 2 working groups RDS working group RDM working group
IS Infrastructure, DCC, Digital Library, Data Library
Funded by JISC as part of its UK programme, Managing Research Data to develop online learning materials to assist researchers manage their digital assets. IAD – set up to deliver training and development for postgraduate students and staff – via online course, Virtual Learning Environments, transferable skills training
A set of Multi- or Cross-Disciplinary online learning resources
Shareable Content Object Reference Model – XML-based
JorumOpen - national OER repository
EDINA / Data Library Overview
EDINA & Data Library service overviewStuart MacdonaldAssociate Data LibrarianEDINA & Data LibraryUniversity of EdinburghStuart.Macdonald@ed.ac.uk
EDINA & Data Library (EDL)• EDINA and University Data Library (EDL) together are a division within Information Services of the University of Edinburgh.• EDINA is a JISC-funded National Data Centre providing national online resources for education and research.• The Data Library assists Edinburgh University users in the discovery, access, use and management of research datasets.
EDINA National Data Centre• Mission statement: “..to enhance the productivity of research, learning and teaching in UK higher and further education..”• Networked access to a range of online resources for UK FE and HE• Services free at the point of use for use by staff and students in learning, teaching and research through institutional subscription• Focus is on service but also undertake R&D (projects services) • delivers about 20 online services • has about 10 major projects (including services in development) • employs about 80 staff (Edinburgh & St Helens)
What is a Data Library?A data library refers to both thecontent and the services thatfoster use of collections ofnumeric, audio-visual, textualor geospatial data sets forsecondary use in research.Focus on re-use of data
International Association for Social ScienceInformation Services and Technology –IASSISTAn international organisation ofprofessionals working with IT anddata services to support research andteaching in the social sciences. Its320 members work in a variety ofsettings, including data archives,statistical agencies, research centers,libraries, academic departments,government departments, and non-profit organisations.
Data Library services and projects• Data Library & consultancy• Edinburgh DataShare• JISC-funded projects – DISC-UK DataShare (2007-2009) – Data Audit Framework Implementation (2008) – Research Data MANTRA (2010-2011) – AddressingHistory – STEEV
Data Library & Consultancy • finding… • accessing … • using … • teaching … • managingBuilding relationships with researchers via postgraduateteaching activities, research support projects, IS Skillsworkshops, Research Data Management training andthrough traditional reference interviews.
Edinburgh DataShare was built as an output ofthe JISC-funded DISC-UK DataShare project (2007-2009)
Edinburgh DataShareAn online institutional repository of multi-disciplinaryresearch datasets produced at the University ofEdinburgh, hosted by the Data LibraryResearchers producing research data associated with apublication, or which has potential use for otherresearchers, can upload their dataset for sharing andsafekeeping. A persistent identifier and suggested citationwill be provided.DataShare is a customised DSpaceinstance with a selectionof standards-compliant metadatafields useful for discovery ofdatasets, through Google andother search engines via OAI-PMH.
A decision making andplanning tool forinstitutions with digitalrepositories in existence orin development that areconsidering adding researchdata to their digital collectionsDownloadable as PDF
Edinburgh Data Audit Framework (DAF) ImplementationMay – Dec 2008) A JISC-funded pilot project produced 6 case studies from research units across the University in identifying research data assets and assessing their management, using DAF methodology developed by the Digital Curation Centre. 4 main outcomes: • Develop online RDM guidance • Develop university research data management policy • Develop services & support for RDM (in partnership IS) • Develop RDM training
Research DataManagement WebGuidanceOnline suite of web pagesfor IS website developed in2009 (will be revampedSummer 2012)Downloadable PDFhandbook
University Research Data Management Policy In spring 2010, a review commenced at the University of Edinburgh to address the issue of managing the rapidly expanding volume and complexity of data produced by researchers. The Review was overseen by the IT & Library Committee and had twin tracks to look at Research Data Storage, and Data Management, Curation and Preservation. The Review looked at current practice in the University and assessed current practice in peer universities and internationally Review Committee responsible for drafting policy to support the University’s mission for ‘the creation, dissemination and curation of knowledge’
Championed by Vice-Principal & Chief Information Officer Professor Jeff Haywood the policy for management of research data was approved by the University Court on 16 May, 2011. Along with University of Oxford, the first RDM policies in the UK “The University adopts the following policy on Research Data Management. It is acknowledged that this is an aspirational policy, and that implementation will take some years.”* Quote from University of Edinburgh website 14
Policy Principles - examplesResponsibility for research data management through a sound researchdata management plan during any research project or programme liesprimarily with Principal Investigators (PIs) – policy principle 2All new research proposals must include research data managementplans or protocols that explicitly address data capture, management,integrity, confidentiality, retention, sharing and publication - policyprinciple 3The University will provide training, support, advice and whereappropriate guidelines and templates for the research data managementand research data management plans - policy principle 4Research data management plans must ensure that research data areavailable for access and re-use where appropriate and under appropriate
Next StepsIS Research Data Management PolicyImplementation Group established led byVice-principal Knowledge ManagementIS RDMS Sub-group working on serviceimplementation plans• Data management support• Data management planning• Active data infrastructure• Data stewardshipEstablishment of IS RDMS Steering groupRDM Awareness Raising sessions with IS staffFocus groups with leading academics
Research DataMANTRAPartnership between:Edinburgh UniversityData LibraryInstitute for AcademicDevelopmentFunded by JISCManaging Research Dataprogramme (Sept. 2010 –Aug. 2011)
Why manage Data Deluge – exponential growth in the volume of digital research artifactsresearch data? created within academia Data management is one of the essential areas of responsible conduct of research. By managing your data you will: • Meet funding body grant requirements. • Ensure research integrity and replication. • Ensure research data and records are accurate, complete, authentic and reliable. • Increase your research efficiency. • Enhance data security and minimise the risk of data loss. • Prevent duplication of effort by enabling others to use your data.
Project overviewGrounded in three disciplinarycontexts: social science, clinicalpsychology and geoscienceAim was to develop onlineinteractive open learningresources for PhD students andearly career researchers that will: • Raise awareness of the key issues related to research data management & contribute to culture change • Provide guidelines for good practice
Online learning moduleEight units with activities, scenarios andvideos:• Research data explained• Data management plans• Organising data• File formats and transformation• Documentation and metadata• Storage and security• Data protection, rights and access• Preservation, sharing and licensingFour data handling practicals:SPSS, NVivo, R, ArcGISVideo stories from researchers in varietyof settingsXerte Online Toolkits – University ofNottingham
Online learning module• Delivered online – self-paced, available ‘anytime, anyplace’• Emphasis on practical experience and active engagement via online activities• One hour per unit• Read and work through scenarios & activities (incl. videos etc)• CC licence to allow manipulation of content for re-use with attribution• Portable content in open standard formats (e.g. SCORM)
MANTRA dissemination Image courtesy of the periodic table printmaking project – http://azuregrackle.com/periodictable/table/58.html• Deposit learning materials with an open licence in JorumOpen and Xpert• Learning materials to be embedded in three participating postgraduate programmes and made available through IAD programme for use by all postgraduate students and early career researchers: This academic year• Public Website launch: http://datalib.edina.ac.uk/MANTRA• Download/re-brand/re-purpose materials from JorumOpen in standards compliants formats (forthcoming)• Software modules – data handling practicals (MS Word)
LinksIASSIST: http://www.iassistdata.org/Data Library services: http://www.ed.ac.uk/is/data-libraryEDINA: http://edina.ac.uk/Research data management guidance pages:http://www.ed.ac.uk/is/research-data-managementEdinburgh University data policy:http://www.ed.ac.uk/is/research-data-policyPolicy-making for Research Data in Repositories - A Guide:http://www.disc-uk.org/docs/guide.pdfEdinburgh Data Audit Framework (DAF) Implementation:http://ie-repository.jisc.ac.uk/283/Research data MANTRA course: http://datalib.edina.ac.uk/mantra
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