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Integrating repositories and eLab notebooks through an open science framework

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Integrating repositories and eLab notebooks through an open science framework

  1. 1. Integrating repositories and eLab notebooks through an open science service REPOSITORY FRINGE 2018 Helen Blanchett, Jisc Richard Adams, Research Space Nigel Goddard, the University of Edinburgh 2 July, 2018
  2. 2. 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
  3. 3. Overview of Jisc Research Data Shared Service https://www.jisc.ac.uk/rd/projects/research-data-shared-service Preservation Systems Multi-tenant administration Discovery User Interfaces and Portals APIs User InterfacesUser InterfacesUser InterfacesTenant User Interfaces APIs Jisc Reporting APIs APIs APIs Tenant Storage APIs Jisc Repository Core Infrastructure APIs Metadata Store Publish Subscribe Messaging Service Cloud Data Storage (Access and Archival) Tenant Repository, CRIS and research systems Scholarly Communications, Service APIs
  4. 4. 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
  5. 5. 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
  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. RSpace: the first Connected ELN
  8. 8. Current repository Current repository focus and limitations 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
  9. 9. 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
  10. 10. Research tools in an Open Science Service Information sources » Publications Router » Publishers » Crossref » ORCID » DataCite » PubMed » Sherpa policy tools University systems » (Single Sign-On, Finance, HR..) » eLab notebooks Information destinations » Google etc. » Discovery services » JiscCORE (global OA aggregation) » Jisc Monitor (compliance checking) » JiscCollections » Funders systems » OpenAIRE + for EU Preservation services Reports and dashboards University X repository Open Access publications Research datasets University Y repository Open Access publications Research datasets University Z repository Open Access publications Research datasets
  11. 11. 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

Notes de l'éditeur

  • 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
  • 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
  • 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
  • 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?

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