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Improving RDM through closer integration of electronic lab notebooks and data repositories

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Improving RDM through closer integration
of electronic lab notebooks and data
repositories
EUNIS 2018
Christopher Brown an...

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Overview
❖ Focus on getting data out of repositories overlooks
constraints on getting data in
❖ Electronic notebooks emerg...

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Current
repository
rrent repository focus and limitatio
Manipulate
Access
? Query
Other
repository
Interoperate
Data Depos...

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Improving RDM through closer integration of electronic lab notebooks and data repositories

  1. 1. Improving RDM through closer integration of electronic lab notebooks and data repositories EUNIS 2018 Christopher Brown and Rachel Bruce, Jisc Rory Macneil, Research Space Nigel Goddard, the University of Edinburgh 6 June, 2018
  2. 2. Overview ❖ Focus on getting data out of repositories overlooks constraints on getting data in ❖ Electronic notebooks emerging as an important vehicle for organising active data ❖ ELN  repository data flow is still clunky ❖ The future: ➢ ‘Connected’ ELNs ➢ Tighter ELN  repository integration ❖ Jisc Research Data Shared Service ➢ Current Scope ➢ Plans to include ELNs
  3. 3. Current repository rrent repository focus and limitatio Manipulate Access ? Query Other repository Interoperate Data Deposit Barriers to use • Hard work to prepare deposit • No support for tools already in use e.g., ELN
  4. 4. The emergence of ELNs as a key active data research tool ❖ELNs ➢ For life sciences and related areas ➢ For active research phase: organisation of data ➢ But often just another data silo! ❖ Connected ELNs ➢ For data from other sources, e.g., microscope ➢ During active research: import and link ➢ Streamlined export to repositories
  5. 5. RSpace: the first Connected ELN
  6. 6. Benefits of integrated ELN  repository workflow ❖Limits need to reorganize data for deposit ➢ Saves time and effort for researchers ➢ Increases interest in depositing data ➢ Increases amount of data entering repositories ❖ELNs as a tool for data curation ➢ Platform for data curators and researchers to work together on data curation ➢ Data already organised, freeing data curators to work on higher level curation ❖Additional benefits with Connected ELN ➢ Include data from other tools and resources in deposits ➢ Direct deposit from within ELN to repository
  7. 7. Developments Needed ❖Conceptual ➢ Recognition of the benefits of ➢Connected ELNs as data organising tools ➢Enhanced ELN  repository workflow ❖ Practical ➢ Development of Repository APIs ➢ for highly organised, heterogeneous data ➢ ingestion, query, export
  8. 8. Why a Research Data Shared Service ❖ There is no single “solution” easily available that meets requirements for universities to enable better management of research data ➢ Managed research data shared service ➢ Repository, preservation, reporting and interoperability components ➢ Help institutions meet funder policy compliance ➢ Enables reuse of research data for better research ➢ Enables good practices in research data management ➢ Allows for financial and resource efficiencies ➢ Allows researchers to easily publish, archive and preserve their research outputs
  9. 9. Overview of Jisc Research Data Shared Service Jisc Research Data Shared Service Capture & reuse Preserve Report Cost-effective improvement in research data access and reuse • Deposit • Describe • Store • Publish • Assure Integrity • Normalise • Transform • Curate • Flag at-risk data • RDM planning • Costs • Service performance • Audit trails • Compliance and benchmarking API’s and Member Dashboards Secure managed storage Shared standards-based technology framework 3rd party tools Integration with local systems OpenStandardInterfaces (APIs) Advice & best practice • Research data management toolkit and network Research data • Secure outputs • Accelerate research • Grow reusable data value • Managed storage included https://www.jisc.ac.uk/rd/projects/research-data-shared-service
  10. 10. RDSS Framework Jisc beta repository Jisc provided preservation Jisc reporting Full reporting capabilities or APIs available Core RDSS offering Fully accredited infrastructure, technical underpinning and interoperability with UK Data centre cloud hosting for your data by Jisc Bronze, Silver or Gold data storage packages available Jisc research systems framework repositories Jisc research systems framework preservation Jisc research systems framework CRIS Available framework options
  11. 11. Next Generation Research Environment ❖ Recommendations and actions - http://bit.ly/NGRE_recs ❖Promote the adoption of concepts, standards and identifiers that are beneficial to Jisc members. ❖Ensure Jisc services are developed in such a way that they can be integrated or accessed via APIs and standard interfaces as much as possible. ❖Investigate work required in the RDSS for closer integration between active and archival research data, and for integrating research data and research administrative data
  12. 12. Research Tools in an Open Science Service ❖ Framework ➢ Procurement framework for ELNs (including assessing current tools and level of demand) ❖ Exploratory ➢ Explore interoperability between ELNs, repositories and Current Research Information Systems (CRIS) using open standards ❖Integration ➢ Technical integration of ELNs within the RDSS

Editor's Notes

  • Focus is on on getting data out of repositories
    Accessing, querying, manipulating data
    To enable/facilitate reproducibility
    Interoperability

    But only a tiny fraction of research data gets into data repositories
    Unorganized data requires repetitive work to prepare for deposit
    Lack of support for data already organized in active data research tools like ELNs
  • ELNs
    For life sciences and related areas
    For active research phase: organisation of data
    But often just another data silo!

    Connected ELNs
    Enable import of and linking to data from other tools and resources during active research
    Support streamlined export to data repositories
  • Conceptual
    Focus on post-deposit treatment of data limits interest and deployment of resources to ELN -> repository workflow.
    Practical
    Limited APIs from Repositories support only deposit of unstructured datasets, resulting in loss of organization already captured in the ELN
    Development of Repository APIs
    ingestion and retention of structured datasets produced by ELN and other active-research tools.
    questions: query inside the organised data? export components of the organised data?
  • More effective Research Data Management must happen to comply with Funder Mandates, ensure data is not lost, and to realise a whole range of positive benefits
    A shared service (provided by Jisc) seems to offer a number of benefits:
    Cost savings and efficiencies
    Common approaches and practice – do this together
    Research system standardisation and interoperability ( do it once rather than many times! , & also address it across essential systems so we can key once and share)
    Address market gaps
  • Samvera, EPrints and Dspace adaptors allows these to be plugged in.
    Re: figshare, we are still their development partners and we are looking into producing a research systems framework, which we hope that they will be a part of. We don’t want to exclude any system (figshare, mendeley, ex-libris etc. from being one of the modules in RDSS, hence the interoperability layer based on open standards. We are currently looking at easy procurement routes for our members.

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