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Investigating data discovery across domains

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12 Jan 2021
Group(s) submitting the application: 
Data Discovery Paradigms IG
Meeting objectives: 

  • To update the group progress

  • To discuss how user studies can inform population of metadata and improve data discovery services

  • To give the community the opportunity to comment on any other aspect of data discovery that the DDP IG should consider investigating

Meeting agenda: 

Collaborative session notes: https://docs.google.com/document/d/1ZYQgdwO-QNJiAnO4s-iiWtnbqCYsnt8yq-Zr...

  1. Introduction of the group (~10 minutes)

  2. Update on the User studies (~5 minutes)

  3. Two invited speakers on Data Discovery (~15' + 5' Q&A each, i.e ~40 minutes in total)

    1. ELIXIR Beacon Project (Prof. Michael Baudis, Department of Molecular Life Sciences, University of Zurich, Swiss Institute of Bioinformatics)
    2. NTCIR Data Search (Dr. Makoto P. Kato,  Faculty of Library, Information and Media Science, University of Tsukuba)

  4. Discussion on the data discovery topic survey results (~15 minutes)

  5. Discussion on data discovery, as connect to Machine Learning aspects (~15 minutes)

  6. Wrap up (5 minutes)

Target Audience: 

  • Researchers who conduct user study for understanding more about user in user’s data discovery process 

  • Data managers/providers who are responsible in describing data and making data findable

  • Data managers to investigate whether any user studies have been performed at their site

  • Attendees with some prior preparation on insights for their Institutional / personal data discovery approaches would benefit more during the group discussion parts of the session.

Group chair serving as contact person: 
Fotis Psomopoulos
Brief introduction describing the activities and scope of the group: 

The objective of this IG is to provide a forum where representatives from across the spectrum of stakeholders and roles pertaining to data discovery can work together to identify, study and make recommendations concerning issues related to improving data discovery. The goal is to produce concrete deliverables that will be recognised and valued by the research and data communities.

This group was officially endorsed at RDA P9. The group has worked on the following task forces, namely:

  1. User study in data discovery (ongoing)

  2. Data/Metadata granularity (ongoing, a WG is now in the process of being submitted after a BoF session at P16)

  3. Using schema.org for research dataset discovery (This task force has spun off to the Research Metadata Schemas Working Group, which was endorsed in Sept. 2019).

  4. Initial four task forces from the group:

    1. Relevancy ranking (completed)

    2. Use cases, prototyping tools and test collections (completed)

    3. Best practice for making data fincable (completed)

    4. Metadata enrichment (closed)

Short Group Status: 

The DDPIG has been established and endorsed as an IG during P9. The group started with four task forces around target data discovery topics soon after P9. All task forces actively explored their topics, and reported progress and outputs at consequent plenaries. At P11, the first three task forces were officially closed, and a discussion on new Task Forces took place, focusing during P12 primarily on Schema.org and Data Granularity. After P13, a case statement for a Research Schemas WG was submitted, the case statement was endorsed in Sept. 2019, just before P14. 

Type of Meeting: 
Working meeting
Additional links to informative material: 

The group has delivered the following three supporting outputs: 

Slides from previous plenary sessions: 

 

Slides from earlier plenaries are available from the group page.

Avoid conflict with the following group (1): 
Research Metadata Schemas WG
Avoid conflict with the following group (2): 
Early Career and Engagement IG
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