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Developing Standards for Research Facilities and Equipment Data Management

This presentation discusses the challenges and progress in establishing standards for the publication of research facilities and equipment data. Led by Adrian Cox and Andrew Milsted, it highlights the development of a network across higher education for creating a national equipment data portal. The presentation covers key topics, including ownership of data, sustainability, stakeholder engagement, and benefits of a standardized approach, ultimately promoting better data management practices to enhance discoverability and efficiency in academic research infrastructure.

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Developing Standards for Research Facilities and Equipment Data Management

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  1. equipment.data - The challenges of developing standards Adrian Cox, Project Manager, equipment.data & Andrew Milsted, Web Developer, equipment.data 30th April 2014

  2. Research Facilities and Equipment Sharing

  3. UNIQUIP – “Defining standards for the publication of research facilities and equipment data” • Established network of interest across HE for development of equipment databases • Established foundation for a national equipment data portal (equipment.data launched in April 2013) • Further developed the N8 taxonomy for equipment categorisation – Augmenting with CPV codes • Created standard vocabulary for equipment and facility databases – The “UNIQUIP Data Publishing Specification”

  4. The UNIQUIP Data Publishing Specificationhttp://equipment.data.ac.uk/uniquip

  5. Practice what you preach!The University of Southampton database

  6. University of Southampton DatabaseExample search result - Facility

  7. Issues faced for equipment sharing • Ownership – Who are the stakeholders and what is their responsibility? • Data sustainability – Where is the data captured? Who updates the entries? • Related procedures e.g. asset Management? Can this be included in a current process? What is the impact? • Adoption – Gaining buy-in to use e.g. What’s in it for me?

  8. Agresso Fixed Asset Module development New “Equipment” and “Facilities” screens

  9. What are the benefits of this development? • It provides a more sustainable integrated approach to the data management process • It will improve data ownership (therefore quality) engaging stakeholders in the asset lifecycle • It delivers asset verification process efficiencies (including engaging academics through publication) • Reduces need for management of an additional database – Equipment database is driven by asset register data • It enables direct contribution to equipment.data

  10. http://equipment.data.ac.uk • It’s easy to start contributing: • Publish core minimum data to UNIQUIP data publishing specification (RCUK’s preferred standard) • Make your data discoverable and agree to publish openly • It’s generating benefits: • Creating a “shop window” for UK HE equipment • Delivering sector standards creating efficiencies in asset management process • improving discoverability of data. • Working to aggregate with Gateway to Research – improving data richness and analytics to demonstrate impact • It’s supporting and promoting standards: • Working with Jisc, CASRAI, Gateway to Research and CERIF

  11. equipment.data – National Equipment PortalExample search results

  12. Status Report – Contributors and data statistics

  13. What is an Organisation Profile Document? • A RDF Document that describes the organisation, • General information provided: • Official name • Postal address • Contact phone number • The correct logo • Website • Physical location • Links to the parts of the organisation, • Admissions, Alumni, Freedomof Information, Complaints • Links to the organisation’s Open Data Service • The equipment dataset

  14. What is an Organisation Profile Document? Machine Readable Version!

  15. What is an Organisation Profile Document? Human Readable Version!

  16. OPDs and Auto-discovery • Dataset publicly available on website. • Dataset has to be added manually along with all the institutions details, contacts etc • Requires staff time (especially if any dataset changes location) • Organisation has an OPD linking to dataset • The OPD has to be added manually, but the dataset location and institution info is consumed directly from the OPD. • Requires less staff time (as any changes made to OPD will get updated) • Link to OPD from organisation’s home page • OPD autodiscovered, so the dataset is automatically added to the service. • Requires no staff time (as data is autodiscover)

  17. Compliance and Sustainability

  18. Related initiatives and developments • Higher Education Data & Information Improvement Programmed (HEDIIP) • CASRAI (UK “Dictionary” for research data) • “Equipment” profile working group to be formed • Gateway to Research (GtR) • Working with equipment.data to establish added value from data sharing – potential to demonstrate impact • CERIF (euroCRIS) • Standardisation of vocabularies in research repositories • Jisc Research Information Management (RIM) Group • Knowledge sharing and standards promotion

  19. ….and finally, you will see us at ARMA

  20. Thank you!

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