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Jonathan Breeze, Symplectic
- 1. Research Information Management: Making Sense of it All Jonathan Breeze, Symplectic CEO Boston Library Consortium Workshop November 2014
- 2. Research Informa.on Management: Making Sense of it All -‐ The crea.on of an authorita.ve ins.tu.onal data source requires a thorough understanding of the subject area, the adop.on of effec.ve processes, strong stakeholder communica.on and a comprehensive apprecia.on of available sources of suppor.ng data. Faced with growing compe..on for future funding and increased calls to both disseminate and demonstrate the impact resul.ng from research ac.vity carried out by their researchers, many research intensive ins.tu.ons are now implemen.ng Research Informa.on Management Systems (RIMs) to help collate the oIen fragmented sets of data maintained across an ins.tu.on and to blend these with external data sources in a bid to reduce the administra.ve burden historically associated with capturing and managing data about an ins.tu.on’s research ac.vity. In this session, the presenter will reflect on the emergence of research informa.on management systems, their key func.ons, the types of data they can capture; the intersec.on of RIMs with other ins.tu.onal systems (e.g. Ins.tu.onal Repositories and Profile Systems) and the resul.ng benefit afforded to ins.tu.ons that deploy ins.tu.on-‐wide RIM systems. Based on both his own experience of implemen.ng a RIM at Imperial College London and having worked with many other leading research ins.tu.ons whilst at Symplec.c, the presenter will also discuss how research libraries and librarians are oIen uniquely placed to promote and support the adop.on of RIMs by Faculty and how they also oIen go on to play a more central role in the planning of future ins.tu.onal research informa.on data collec.on.
- 3. About Symplec.c •We serve research institutions and researchers alike • Our key features are developed in partnership with our client-base • We remain vendor and data source agnostic • We are part of the vibrant Digital Science community
- 4. Overview – Theemergence of Research Information Management systems (RIMs) • What are they • Where did they come from inc. drivers behind early RIM development • Primary use cases for adoption – How do RIMs differ to traditional management information databases? • Automated data capture • Disambiguation • Joining the dots • Focus on reuse – The role of the Librarian • Operational support • Quality control • Advocacy and advice • Taking a lead
- 5. What is aRIM system? Any system dedicated to supporting the capture, linking and dissemination of information associated with the research lifecycle; usually with an institutional focus. Classic data model includes: – Person data (inc. positions, skills, cv) – Research Outputs and Datasets – Patents – Grants and projects – Professional & teaching activities – Org Units (e.g. research groups) – Equipment and facilities
- 6. Drivers behind developmentof early RIMs • Key Drivers: – internal research assessment – national research assessment exercises (UK, Aus, Denmark, Netherlands) – increased competition for funding – calls to reduce administrative burden placed on researchers – support discoverability of institutional research
- 7. Key use cases • Collecting and managing publication information • Carrying out government assessment/ returns • Growing institutional repositories • Populating public researcher profiles with up-to-date information • Supporting the generation of researcher CV’s and other internal reports • Evaluating institutional research activity • Responding to funder requests
- 8. A move awayfrom ‘form filling’: yikes! “This software allowed me to turn a 1 hour annual task into a 6 hour task (and this was after probably 2 hours of work by the college), and it also allowed me to turn an 'excellent' annual evaluation into a 'good' evaluation. “ Unhappy researcher
- 9. Far greater focuson the user experience
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- 12. Both internal andexternal systems Institutional Systems of Record HR Database Award Searched by DOI Researcher Identifier Systems ORCiD Researcher ID Bibliographic Aggregators* Scopus Web of Science Disciplinary Article Repositories PubMed arXiv Profile/Expertise Systems Symplectic Elements VIVO Scival SSRN Sherpa FundRef E-PMC CINii Datasets figshare RePEc DBLP Academic (or their proxy) selects external data sources most relevant to them Symplectic Reporting Database Funding Data Bibliometrics altmetric TR Impact Factors Media Data Reference Data Org IDs CVCV & Biosketch Data Warehouse / BI Tool ETL Research Output Sources Open Access Repository Profile and external research output data CMS / Profile Tool (e.g. VIVO or Profiles RNS) RefMgr BibTeX Teaching Mgnt Equipment Other Data Sources API API Funder and Govt Systems XML API API CrossRef data Legend Journal Symplectic Institution Open Data Digital Science Patent Data DOAJ Awards Data API .doc & pdf Google Books Dimensions
- 13. Leverage benefits of unique and persistent IDs Automatic Disambiguation
- 14. Data captured from 7 different sources to make this single record Cita.ons counts from the major cita.ons engines in the same place Integra.on with Altmetric Ar.cle associated with 3 authors within the ins.tu.on Journal-‐level metrics Direct integra.on with digital research repository Rela.onships to grants, equipment used, etc. Result = richer contextualized data
- 15. Open Access PolicySupport
- 16. Repository Integration •Elements supports the population of institutional digital repositories. The automatic detection of files elsewhere on the web helps reduce the burden placed on academics.
- 17. Data used inresearch networking tools • RIMs help institutions visualize individual and institutional research networks in public facing profiles VIVO: Co-‐author Network Profiles RNS: Author Concepts Timeline
- 18. The fun bit:Analytics
- 19. The role ofthe Library • High visibility scholarly communication tool – Supports discoverability • Support – Advice (e.g. copyright policies, publishing strategies) – Advocacy (open access adoption) – Understanding research impact (inc. altmetrics)
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- 21. New Services Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
- 22. New Services Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
- 23. New Services Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
- 24. The role ofthe Library • Understanding of data curation and preservation techniques • Bibliographic data • Other metadata DCC Cura.on Lifecyle Model hp://www.dcc.ac.uk/resources/ cura.on-‐lifecycle-‐model
- 25. Use Case: HERDCProcess
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- 27. Thank You! Symplectic.info @symplectic