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Researcher KnowHow: Research Data Management

Ben Mollitt delivered a session on research data management (RDM).

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Research Data
Management
(RDM)
19.10.16
Ben Mollitt,
Research Data Manager
This session will cover:
 what is research data and RDM?
 the benefits of RDM and making research data openly
available
 policy environment and funders’ expectations
 research data lifecycle
 support and resources for managing your data
 demonstrations of useful tools / services
Overview
What is research data?
Any recorded information necessary to support or
validate a research project’s observations, findings
or outputs, regardless of format.
https://www.liverpool.ac.uk/media/livacuk/computingservices/research-data-
management/researchdatamanagementpolicy.pdf
What is research data management?
“an explicit process covering the creation and
stewardship of research materials to enable
their use for as long as they retain value.”
Data Management is part of good
research practice
Benefits of managing research data
and making it openly available
- Integrity and efficiency of research
- Impact and visibility of research
- To stop yourself drowning in irrelevant information
- In case you need the data later
- Increased citations
- Data sharing and re-use
- Avoid duplication
- Interdisciplinary collaborations
- Data security and preservation
- Enables easier location and understanding of files
- Compliance with funder policies
Trend towards coalescence on open
research data
Principle 1 - enabler of high quality research, facilitator of innovation
and safeguards good practice
Principle 2 - sound reasons why openness may need to be restricted
but must be justified and justifiable
Principle 3 - carries significant cost which must be respected by all
parties
Principle 4 - right of the creators to reasonable first use is recognised
Principle 5 - use of others’ data should always conform to legal, ethical
and regulatory framework
Principle 6 - good data management is fundamental to all stages of
research process and should be established at outset
Principle 7 - data curation is vital to make data useful and for long-
term preservation
Principle 8 - data supporting publications should be accessible by the
publication date and citeable
Principle 9 - support for development of appropriate data skills is
recognised
Principle 10 - regular reviews of progress towards open data should be
taken.
http://www.rcuk.ac.uk/documents/documents/concordatonopenresearchdata-pdf/

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Researcher KnowHow: Research Data Management

  • 2. This session will cover:  what is research data and RDM?  the benefits of RDM and making research data openly available  policy environment and funders’ expectations  research data lifecycle  support and resources for managing your data  demonstrations of useful tools / services Overview
  • 3. What is research data? Any recorded information necessary to support or validate a research project’s observations, findings or outputs, regardless of format. https://www.liverpool.ac.uk/media/livacuk/computingservices/research-data- management/researchdatamanagementpolicy.pdf
  • 4. What is research data management? “an explicit process covering the creation and stewardship of research materials to enable their use for as long as they retain value.” Data Management is part of good research practice
  • 5. Benefits of managing research data and making it openly available - Integrity and efficiency of research - Impact and visibility of research - To stop yourself drowning in irrelevant information - In case you need the data later - Increased citations - Data sharing and re-use - Avoid duplication - Interdisciplinary collaborations - Data security and preservation - Enables easier location and understanding of files - Compliance with funder policies
  • 6. Trend towards coalescence on open research data Principle 1 - enabler of high quality research, facilitator of innovation and safeguards good practice Principle 2 - sound reasons why openness may need to be restricted but must be justified and justifiable Principle 3 - carries significant cost which must be respected by all parties Principle 4 - right of the creators to reasonable first use is recognised Principle 5 - use of others’ data should always conform to legal, ethical and regulatory framework Principle 6 - good data management is fundamental to all stages of research process and should be established at outset Principle 7 - data curation is vital to make data useful and for long- term preservation Principle 8 - data supporting publications should be accessible by the publication date and citeable Principle 9 - support for development of appropriate data skills is recognised Principle 10 - regular reviews of progress towards open data should be taken. http://www.rcuk.ac.uk/documents/documents/concordatonopenresearchdata-pdf/
  • 7. What do funders ultimately expect?  Data management plan  Timely release of data  Open data sharing  Preservation of data
  • 8. The Research Data Lifecycle PLAN RE-USE PUBLISH & SHARE CREATE & ORGANISE STORE PRESERVE
  • 9. The Data Lifecycle - Plan PLAN RE-USE PUBLISH & SHARE CREATE & ORGANISE STORE PRESERVE  Data Management Plans  Ethics  Intellectual Property
  • 10. DMPonline dmponline.dcc.ac.uk • A web-based tool to help researchers write data management plans • Contains templates and guidance for many of the main funders • Allows DMPs to be shared with collaborators as they are being developed • Facility to export DMP in a variety of different formats for submission with a grant application • Funder templates will be customised with Liverpool-specific guidance and best practice examples
  • 11. The Data Lifecycle - Store PLAN RE-USE PUBLISH & SHARE CREATE & ORGANISE STORE PRESERVE  Storage options  Access options  Security  Back up
  • 12. Liverpool’s Active DataStore • Fast, high quality, high capacity storage with guaranteed backup and resilience • Data is conveniently accessible from wherever and whenever required using DatAnywhere • 1TB of storage per research project by default. Additional storage available on request https://liverpool.service-now.com/ess/order_rdm.do
  • 13. The Data Lifecycle – Publish & Share PLAN RE-USE PUBLISH & SHARE CREATE & ORGANISE STORE PRESERVE  Where to publish  Data access statements  Licensing
  • 14.  Domain data repository  General data repository e.g. Figshare, Zenodo, Dryad  Institutional data repository – Liverpool’s DataCat  Journal supplementary material  Project or departmental web page Options for publishing data
  • 15. What is metadata?  Metadata for DISCOVERY  Metadata enabling REUSE It can be helpful to define research metadata by its use:
  • 16. DataCat: Liverpool’s Research Data Catalogue datacat.liverpool.ac.uk/ • Create records of information about finalised research data, and save data in a secure online environment • Two types of record: Discovery-only – data is held elsewhere but a record is provided to help people find it Discovery and data – data is also deposited into DataCat, which creates a Digital Object Identifier (DOI) for citations • Not for storing of active data, i.e. data being added to, or not yet cleaned and processed – see Active DataStore
  • 17. Data Access Statements Data Access Statement: All data supporting this study are openly available from https://dx.doi.org/10.17638/datacat.liverpool.ac.uk/171
  • 18. The Data Lifecycle – Re-use PLAN RE-USE PUBLISH & SHARE CREATE & ORGANISE STORE PRESERVE • Data Citation • Innovative reuse • Secondary/Meta Analysis • Teaching and Learning
  • 19. • A dataset citation includes all of the same components as any other citation • Creator (Publication Year): Title. Publisher. Identifier Data Citation Example: Irino, T; Tada, R (2009): Chemical and mineral compositions of sediments from ODP Site 127-797. Geological Institute, University of Tokyo. http://dx.doi.org/10.1594/PANGAEA.726855
  • 20. Summary of RDM services at Liverpool  Data Management Planning  DMPonline – customised for Liverpool  Active DataStore  Storage infrastructure and secure backups for active data  Data Catalogue  Preservation and sharing of finalised research data  Dataset validation – checking of the metadata  DOI minting – to provide a persistent identifier for datasets
  • 21. Further information and contact details - Liverpool RDM web pages: www.liverpool.ac.uk/csd/research-data-management/ - Liverpool RDM policy: www.liverpool.ac.uk/media/livacuk/computingservices/ research-data- management/Research,Data,Management, Policy,04.pdf - RDM queries: data@liverpool.ac.uk or Ben Mollitt (Research Data Manager) ben.mollitt@liverpool.ac.uk Gary Jeffers (Research Data Management Officer) gary.jeffers@liverpool.ac.uk Victoria Barragan (Research Data Management Assistant) vb10@liverpool.ac.uk