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Open data and research data management at the University of Edinburgh: policies and services

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Robin Rice
Robin Rice

The document discusses open data and research data management policies and services at the University of Edinburgh. It provides an overview of Edinburgh's focus on data-driven science through various initiatives. It also outlines the drivers for Edinburgh's research data management policy, including funder requirements and guidelines. The policy aims to support the storage, sharing, and long-term preservation of research data. The university has implemented a roadmap to support the policy through training, infrastructure, repositories, and consultancy services. Challenges to effective research data management include a lack of staff and funding resources, low researcher prioritization, and difficulties engaging researchers early in the research process.

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Open data and research data management at the University of Edinburgh: policies and services Open Research Data: EPFL 28 October, 2014 Robin Rice, R.Rice@ed.ac.uk, EDINA and Data Library University of Edinburgh
Overview • Edinburgh and data-driven science • Drivers for Edinburgh (institutional) RDM Policy • Research Data Management (RDM) Policy: key points, roles and responsibilities • RDM Roadmap: implementing the policy • RDM training for researchers and support staff • Challenges in RDM support & open data advocacy
Uni. of Edinburgh and data-driven science • School of Informatics, 1998-present o Doctoral Training Programme in Data Science, 2014 • EPCC, 1990-present o Supercomputing infrastructure: HECToR and Archer; RDF • Information Services (Computing Service, ECDF) • Data Library, 1984-present o EDINA, 1995-present • National e-Science Centre & eSI, 2001-2011 • Digital Curation Centre, 2004-present • University RDM Programme, 2012-present • Edinburgh Data Science initiative, 2014
Int/external drivers for Edinburgh RDM Policy • OECD Principles and Guidelines for Access to Research Data from Public Funding, 2007 (& 2004) • Research Computing Survey, 2007 • Data Audit/Asset Framework (DAF), 2008-9 • Adoption of UK Research Integrity Office’s Code of Practice for Research, 2009-10 • UK funders requiring Data Mgmt & Sharing Plans • Publishers requiring underlying data be available • ‘Climategate’ E. Anglia University email review, 2009 • (Summer, 2011: EPSRC “expectations” published)
Edinburgh policy ‘worldle’
UoE RDM Policy: key points for open data “The 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, responsibilities • Who 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 RDM  Data Management Planning  Creating data  Documenting data  Accessing / using data  Storage and backup  Sharing data  Preserving data A Data Lifecycle
UoEResearch Data Management Roadmap (2012-2015) Involvement from across University and Information Services
Open data and research data management at the University of Edinburgh: policies and services
Support for DMPs INVOLVES: Research office Research administrators RDM Coordinator DCC (DMPOnline tool) Central IT consultants Local IT/web support Data Library Academic Service Librarians before research data are collected or created Principal Investigator
Data Infrastructure INVOLVES: Central IT Local IT & data mgrs Info Services Helpdesk IT Consultants RDM & IT Committees (policy oversight) • Half TB storage/researcher • Networked, secure backup • ‘Dropbox-like’ service • Long-term, private vault (proposed)
Data Stewardship INVOLVES: (Data) librarians Repository administrators Archivists Records managers Local data managers Disciplinary repositories Standards bodies • Ongoing curation of completed research data outputs • Access & preservation • Metadata records, DOIs
DataShare Repository
DataShare progress Number of Items (datasets) Total Latest month (September, 2014) Of which are new depositors 162 15 3 Total size of deposited items: 111 GB Total sessions (end-users and depositors) 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).
Data Support • General consultancy and support service throughout the research process • Training & advocacy • Specialised support (data collection, analysis, visualisation) INVOLVES: Academic Service Librarians Data Librarians IT Consultants Local IT & Data Managers PhD Supervisors & trainers
Research Data MANTRA • Openly licensed online learning self-paced course in RDM for postgrads and early career researchers • Embedded in at least 3 graduate schools at UoE • Video stories from researchers in variety of settings • Interactive quizzes make it fun • Data handling exercises in four software analysis packages • “Continuous improvement”: Four releases in 4 years backlit buddha by .ash on Flickr http://datalib.edina.ac.uk/mantra
Academic Service Librarian Training  Data 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 librarians  Materials gathered together in the DIY Training Kit for Librarians on the MANTRA website http://www.mcphee.com/laf/
Benchmark: DCC 2014 UK survey - RDM services in place n=87 respondents at 61 institutions incl. 24 Russell Group. Angus Whyte, DCC, http://www.dcc.ac.uk/blog/rdm-strategy- action-glass-half-full
Challenges in RDM support & open data advocacy • Reaching critical mass of students and academics at point of need (timing, priorities, scheduling) • ‘Turnaround time’ in writing data management plans • Identifying ‘RDM’ requests at helpdesk; proper routing to expert support • Costing intensive data services & in-depth support in grants • Getting balance right for private and open data o Incentivising sharing • Working ‘upstream’ in research process is hard
DCC 2014 UK survey results Obstacles 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 management 23% Pre‐release Briefing 1, 23 April 2014. Angus Whyte, Diana Sisu, DCC.

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Open data and research data management at the University of Edinburgh: policies and services

  • 1. Open data and research data management at the University of Edinburgh: policies and services Open Research Data: EPFL 28 October, 2014 Robin Rice, R.Rice@ed.ac.uk, EDINA and Data Library University of Edinburgh
  • 2. Overview • Edinburgh and data-driven science • Drivers for Edinburgh (institutional) RDM Policy • Research Data Management (RDM) Policy: key points, roles and responsibilities • RDM Roadmap: implementing the policy • RDM training for researchers and support staff • Challenges in RDM support & open data advocacy
  • 3. Uni. of Edinburgh and data-driven science • School of Informatics, 1998-present o Doctoral Training Programme in Data Science, 2014 • EPCC, 1990-present o Supercomputing infrastructure: HECToR and Archer; RDF • Information Services (Computing Service, ECDF) • Data Library, 1984-present o EDINA, 1995-present • National e-Science Centre & eSI, 2001-2011 • Digital Curation Centre, 2004-present • University RDM Programme, 2012-present • Edinburgh Data Science initiative, 2014
  • 4. Int/external drivers for Edinburgh RDM Policy • OECD Principles and Guidelines for Access to Research Data from Public Funding, 2007 (& 2004) • Research Computing Survey, 2007 • Data Audit/Asset Framework (DAF), 2008-9 • Adoption of UK Research Integrity Office’s Code of Practice for Research, 2009-10 • UK funders requiring Data Mgmt & Sharing Plans • Publishers requiring underlying data be available • ‘Climategate’ E. Anglia University email review, 2009 • (Summer, 2011: EPSRC “expectations” published)
  • 6. UoE RDM Policy: key points for open data “The 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.”
  • 7. Policy: Roles, rights, responsibilities • Who 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?
  • 8. Activities involved in RDM  Data Management Planning  Creating data  Documenting data  Accessing / using data  Storage and backup  Sharing data  Preserving data A Data Lifecycle
  • 9. UoEResearch Data Management Roadmap (2012-2015) Involvement from across University and Information Services
  • 11. Support for DMPs INVOLVES: Research office Research administrators RDM Coordinator DCC (DMPOnline tool) Central IT consultants Local IT/web support Data Library Academic Service Librarians before research data are collected or created Principal Investigator
  • 12. Data Infrastructure INVOLVES: Central IT Local IT & data mgrs Info Services Helpdesk IT Consultants RDM & IT Committees (policy oversight) • Half TB storage/researcher • Networked, secure backup • ‘Dropbox-like’ service • Long-term, private vault (proposed)
  • 13. Data Stewardship INVOLVES: (Data) librarians Repository administrators Archivists Records managers Local data managers Disciplinary repositories Standards bodies • Ongoing curation of completed research data outputs • Access & preservation • Metadata records, DOIs
  • 15. DataShare progress Number of Items (datasets) Total Latest month (September, 2014) Of which are new depositors 162 15 3 Total size of deposited items: 111 GB Total sessions (end-users and depositors) 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).
  • 16. Data Support • General consultancy and support service throughout the research process • Training & advocacy • Specialised support (data collection, analysis, visualisation) INVOLVES: Academic Service Librarians Data Librarians IT Consultants Local IT & Data Managers PhD Supervisors & trainers
  • 17. Research Data MANTRA • Openly licensed online learning self-paced course in RDM for postgrads and early career researchers • Embedded in at least 3 graduate schools at UoE • Video stories from researchers in variety of settings • Interactive quizzes make it fun • Data handling exercises in four software analysis packages • “Continuous improvement”: Four releases in 4 years backlit buddha by .ash on Flickr http://datalib.edina.ac.uk/mantra
  • 18. Academic Service Librarian Training  Data 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 librarians  Materials gathered together in the DIY Training Kit for Librarians on the MANTRA website http://www.mcphee.com/laf/
  • 19. Benchmark: DCC 2014 UK survey - RDM services in place n=87 respondents at 61 institutions incl. 24 Russell Group. Angus Whyte, DCC, http://www.dcc.ac.uk/blog/rdm-strategy- action-glass-half-full
  • 20. Challenges in RDM support & open data advocacy • Reaching critical mass of students and academics at point of need (timing, priorities, scheduling) • ‘Turnaround time’ in writing data management plans • Identifying ‘RDM’ requests at helpdesk; proper routing to expert support • Costing intensive data services & in-depth support in grants • Getting balance right for private and open data o Incentivising sharing • Working ‘upstream’ in research process is hard
  • 21. DCC 2014 UK survey results Obstacles 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 management 23% Pre‐release Briefing 1, 23 April 2014. Angus Whyte, Diana Sisu, DCC.