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Data Discovery Across Disciplines

Organisers & Speakers: Peter Kraker - Open Knowledge Maps, Alessia Bardi - OpenAIRE, Johana Chylíková - CSDA, Arnaud Gingold - OPERAS, Petr Knoth - CORE, Brigitte Mathiak - GESIS, Christian Pietsch - BASE, Nancy Pontika - CORE, Jochen Schirrwagen - BASE, Nataliia Sokolovska - HIIG, Heinrich Widmann - EUDAT
Duration: 2 hrs
Room: Arquivo Hall

In this workshop by the GO FAIR Implementation Network on Discovery, we will be looking at data discovery across disciplines, with a particular focus on interfaces and other user-facing services.

Workshop abstract

Research data are among the fastest growing openly accessible scientific outputs on the web. While we have made great strides when it comes to accessibility of scientific data, discoverability is seriously lacking. As a result, up to 85% of research data are not reused (Peters et al. 2016). Discoverability is therefore one of the key challenges for FAIR data: in many ways, we cannot cash the cheques written by this movement, if we do not increase the visibility of research outputs.
In this workshop by the GO FAIR Implementation Network on Discovery, we will be looking at data discovery across disciplines, with a particular focus on interfaces and other user-facing services. Specifically, we will explore the following topics:

  • New and innovative ways of enabling data discovery, including visualizations, recommender systems, semantics, content mining, annotation, and responsible metrics
  • User involvement and participatory design to increase usability and usefulness of the developed solutions
  • Creation and further development of FAIR and open infrastructures enabling interoperable, cross-domain reuse and continued innovation
  • What is needed to go beyond academia, involving users from all stakeholders of research data

target audience

All stakeholders of findable and discoverable research data: those interested in finding and reusing data (researchers, citizen scientists, practitioners etc.), those wanting to make their data findable (research Infrastructures and research communities, repository managers, publishers and content providers, research administrators etc.) and those looking to facilitate the process (libraries, service providers and innovators etc.).

Learning outcomes

  • The state-of-the-art and current challenges of cross-disciplinary research data discovery
  • Innovative tools and user-facing technologies for data discovery
  • Use cases and participatory development processes
  • How to better find data and how to make it more findable

Agenda

The workshop will be interactive with members of the Discovery IN presenting the preliminary results of a stocktaking of use cases, tools, and standards, providing ample time for discussion with and input from the audience.

  • Welcome and introduction | 5 min.
  • Results of the Discovery IN I: Use cases | 10 min.
    [Presentation]
  • Discussion and audience input | 15 min.
  • Results of the Discovery IN II: Tools, services and interfaces | 60 min.
    This section includes short presentations by BASE, CESSDA, CORE, DREAM, EOSC-Hub, EUDAT, OPERAS, and Open Knowledge Maps showcasing discovery capabilities and real-life use cases.
    [Presentations: BASE, CESSDA, CORE, EOSC-Hub, EUDAT, OPERAS, Open Knowledge Maps]
  • Discussion and audience input | 20 min.
  • Wrap-up and next steps | 10 min.

Speakers

When

16th September, 14:00

See full programme here.