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From Discoverability to Chatbots: New trends in Data Discovery

13 FEB 2024

Collaborative session notes

Group(s) submitting the application: 

Data Discovery Paradigms IG

Meeting objectives: 

Meeting agenda: 

Target Audience: 

Group chair serving as contact person: 

Brigitte Mathiak

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 studies in data discovery (ongoing)
  2. Data/Metadata granularity (started the Data Granularity Working Group)
  3. Using for research dataset discovery (This task force has spun off to the Research Metadata Schemas Working Group, which was endorsed in Sept. 2019. The group is now in maintainance mode).
  4. Task forces from the group:
    1. Relevancy ranking (completed)
    2. Use cases, prototyping tools and test collections (completed)
    3. Best practice for making data findable (completed)
    4. Metadata enrichment (closed)
    5. Data granularity (became a WG, in progress)
    6. Publish structured metadata (became the Research Data Schemas WG, completed)
    7. User study of data discovery context and search behaviour (in progress)

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 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: 

Informative 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): 

Complex Citations Working Group

Avoid conflict with the following group (2): 

FAIR for Machine Learning (FAIR4ML) IG

Meeting presenters: 

DDPIG Co-chairs Lizhou Fan, Sara Lafia Tianying Chen

Are you willing to host a second, repeat, session at a different time zone?: