Date post: | 16-Jul-2015 |
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Data & Analytics |
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Research Information Management: Making Sense of it All
Jonathan Breeze, Symplectic CEO
Boston Library Consortium Workshop
November 2014
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.
• 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
About Symplec.c
– The emergence 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
Overview
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
What is a RIM system?
• 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
Drivers behind development of early RIMs
• 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
Key use cases
“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. “
A move away from ‘form filling’: yikes!
Unhappy researcher
Far greater focus on the user experience
Automated data capture
System Integrations
Both internal and external systems
Searched by DOI
Profile/Expertise Systems
SymplecticElements
VIVO Scival
Researcher Identifier Systems
ORCiD Researcher ID
Bibliographic Aggregators*
Scopus Web of Science
Disciplinary Article Repositories
PubMed arXiv
E-PMC
Datasets
figshare
CINii
RePEc DBLP
Academic (or their proxy)
selects external data sources
most relevant to them
SymplecticReporting Database
Funding DataBibliometrics
altmetric
TR Impact Factors
Media DataReference Data
Org IDs
Sherpa FundRefSSRN
CVCV & Biosketch
Data Warehouse /
BI Tool
ETLResearch Output Sources
Open Access Repository
Profile and external research
output data
CMS / Profile Tool (e.g. VIVO or Profiles RNS)
RefMgrBibTeX
Teaching DatabaseHR Award
Mgnt
Institutional Systems of Record
Equipment
Other Data Sources
API
API
Funder and Govt Systems
XML
APIAPI
LegendSymplectic Digital ScienceOpen DataInstitution
Journal dataCrossRef
Patent Data
DOAJ
Awards Data
API
.doc & pdf
Google Books
Dimensions
Leverage benefits of unique and persistent IDs
Automatic Disambiguation
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
Open Access Policy Support
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.
• RIMs help institutions visualize individual and institutional research networks in public facing profiles
VIVO: Co-‐author Network Profiles RNS: Author Concepts Timeline
Data used in research networking tools
The fun bit: Analytics
• High visibility scholarly communication tool – Supports discoverability
• Support – Advice (e.g. copyright
policies, publishing strategies)
– Advocacy (open access adoption)
– Understanding research impact (inc. altmetrics)
The role of the Library
Complementary Tools
New Services
Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
New Services
Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
New Services
Thompson, NA (2013). Australasian Research Management Conference, Adelaide, Australia, 11 Sep 2013 -‐ 13 Sep 2013.
• Understanding of data curation and preservation techniques
• Bibliographic data • Other metadata
The role of the Library
DCC Cura.on Lifecyle Model h\p://www.dcc.ac.uk/resources/cura.on-‐lifecycle-‐model
Use Case: HERDC Process
Institutional Impact
Thank You! Symplectic.info
@symplectic