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An RDM Service for Health Researchers: LSHTM Case Study

Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.

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An RDM Service for Health Researchers: LSHTM Case Study

  1. 1. AN RDM SERVICE FOR HEALTH RESEARCHERS A case study of work performed at LSHTM This work is licensed under a Creative Commons Attribution 2.0 UK: England & Wales License Gareth Knight London School of Hygiene & Tropical Medicine gareth.knight@lshtm.ac.uk Research Data Services workshop 30 June 2015
  2. 2. Overview 1. Institutional context 2. Motivation for establishing an RDM Service 3. Determining needs and building support structure 4. Enhancing RDM Practice 5. Next steps and conclusion
  3. 3. London School of Hygiene & Tropical Medicine • Postgraduate institute for research and education in public health & tropical medicine • Research funding exceeds £60 million a year • Recognised as one of world’s highest rated universities for collaborative research • 4000 students & 1,300 staff working in 100+ countries
  4. 4. Research Data Initiative 2009-11 Researcher as initial champion: • Personal pride: High-quality data should be produced & made available • Support requirement: Huge time commitment to support end user Research Data Working Group • Established in Feb 2010 to: – advise institution on RDM/Open Data development – Produce recommendations for next steps • Membership comprised of research staff, librarians, archivists, and other staff • ‘Raising Standards’ Study Recommendations fully accepted by SMT in mid 2011 Report available: http://blogs.lshtm.ac.uk/rdmss/outputs/
  5. 5. RDM Support Service Broad remit to enhance data management practice and improve infrastructure within institution • Located in Library & Archives Service • Funded by: – Wellcome Trust ISSF: 2012 – 15 – Central funding: 2015 onwards • RDM Steering Group provides direction on a Management by Exception (MbE) basis Project Blog: http://blogs.lshtm.ac.uk/rdmss/outputs/ RDM Website: http://www.lshtm.ac.uk/research/researchdataman/
  6. 6. RDM Service Challenges Reaching audience •Many researchers work overseas for 50% / 100% of time •Too busy to respond to emails / telephone Establishing buy-in •What are the benefits? •Many researchers are supported by funding with no data management requirements •Uncertainty on how it applies to their field Providing domain expertise •Scientific discipline requires years of study & have specific language •Specialised tools & resources – limited conversion options and few recognised preservation formats Dealing with conflicting requirements •What do you do when funders & governments disagree? Supporting collaborative research •What support should/can you provide to collaborators at other institutions? Managing with limited resources •Staff must support large no. of researchers •Time commitment for one-to- one support
  7. 7. Establishing buy-in Tailoring message to key stakeholders Researchers & Data Creators Improve likelihood of research funding Potential to use data in further research Fulfil publisher obligations & achieve higher rate of citation Save time & effort Principal Investigators & Head of Dept Contribution to “reproducible research” agenda Enhanced data handling practice & less duplication of effort Greater take-up of research outputs in research & teaching Senior Management Better able to achieve strategic goals to maximise research impact Build capacity within institution & collaborators Remain competitive with other institutions Ensure compliance with regulatory and contractual obligations
  8. 8. Requirements Gathering Survey/interviews with researchersResearch Data WG report Funder & Regulators http://blogs.lshtm.ac.uk/rdmss/outputs/ http://www.lshtm.ac.uk/research/researchdataman/ Advisory bodies
  9. 9. Resource development Providing RDM support using limited resources Plan proposal Project Start Project End Possible deletion Identify RDM resources Develop funder DMP Create & store data Journal data needs Data sharing agreement Prepare data for deposit Data description Preservation & sharing Qs RDM Website Training sessions RDM videos
  10. 10. Responding to evolving needs Support requests: • Monitor demand over time – 88 (2013) – 120 (2014) – 69 (Jan-May 2015) • Produce/Update guidance to reflect common questions Data Management Plans • Tailored feedback on request • Produce sample DMPs for common funders http://www.lshtm.ac.uk/research/researchdataman/plan/ Top 10 RDM topics raised in 2014 http://blogs.lshtm.ac.uk/rdmss/support-planning/
  11. 11. Enhancing RDM Practice Mandate that projects without a funder DMP obligation should produce a institutional DMP Strategy for minimising resource allocation: 1. Prioritise key projects: LSHTM-led projects are mandated, consultancies & others encouraged 2. Avoid duplication: Allow projects to submit a Research Protocol or other DMP if they have produced one 3. Acquire DMPs for funded projects only: Analysis of 2013 funding bids found that: – 247 met eligibility criteria at pre-award – 97 met eligibility criteria at post-award Ensure Data Management is considered from outset
  12. 12. End of project support Guidance on ‘data archiving’ process: • (re)familiarisation with funder/publisher requirements • Prepare data for transfer – Redaction, – Formats & documentation – Access controls & licences • Locating appropriate repository – Domain repository preferred – LSHTM data repository for non- sensitive ‘homeless data’ Liaise with projects in final 3 months of funding http://datacompass.lshtm.ac.uk/
  13. 13. Next Steps Operate ‘business as usual’ service: • RDM ‘Help desk’ • Promote & populate research data repository • Development of tutorials, guides & other resources Consult with key stakeholders to identify additional topics: • Integration of repository with infrastructure (such as CRIS) • Case studies on ‘Cradle to grave’ data management in specific depts/environments • Case studies on working with sensitive data
  14. 14. Concluding thoughts • Institutional size simplifies process of introducing new policy – Remains a need to present at various groups & obtain broad acceptance • Health researchers recognise importance of data to their work, but still need to be convinced to apply specific practices • Effective use of staff resources is essential to support varied research needs • Data Manager/researcher collaboration is necessary to tailor resources to specific fields
  15. 15. Thank You for your attention! Gareth Knight. Project Manager, LSHTM Research Data Management Service Email: gareth.knight@lshtm.ac.uk Questions