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Group Session Applications | 03/07/2024 | Brigitte Mathiak

Your Email
  brigitte.mathiak@gesis.org
Meeting Title
  Applying AI in Data Discovery
Group Submitting the Application
  Data Discovery Paradigms IG
Names and Emails of All Chairs of the Submitting Group
 
Full Name of a Group Chair Email of a Group Chair
Brigitte Mathiak brigitte.mathiak@gesis.org
Mingfang Wu Mingfang Wu
Uwe Schindler uschindler@pangaea.de
Fotis E. Psomopoulos fpsom@certh.gr
Group TAB liaison
 
Full Name of TAB Liaison Email of TAB Liaison
Bridget Walker Bridget Walker
Session Abstract
Meeting Objectives
  To update the group progress
To discuss a topic for the group: AI methods in data discovery
Meeting Presenters
 
  • Brigitte Mathiak
  • Mingfang Wu
  • Uwe Schindler
  • Fotis E. Psomopoulos
  • up to two additional speakers
Meeting Agenda
  * Introduction of the group (10 minutes)
* Presentations (30 mins including Q/A):
** AI/ML to improve data quality (Dr. Amir Aryani, Swinburne University of Technology; Dr. Mingfang Wu, ARDC)
** AI/ML to improve data discoverability (Dr. Brigitte Mathiak)

* Discussion and feedback on the implications of applying AI in data discovery (40 minutes)

* Wrap up and steps forward (10 minutes)
Target Audience
  Researchers who conduct user studies for understanding more about an individual’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 or evaluation method could be applied to their data repository/catalogue
Attendees with some prior preparation or insights for their institutional / personal data discovery approaches would benefit more during the group discussion parts of the session.
Related Plenary
  P23 RDA Plenary Meeting San José (12-14, November 2024)
About the Group
Group Chair Serving as Contact Person
 
Full Name Email Address
Brigitte Mathiak brigitte.mathiak@gesis.org
Group Activities & Scope
  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:
User studies in data discovery (ongoing)
Data/Metadata granularity (ongoing, a BoF has been submitted)
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).


Task forces from the group:
Relevancy ranking (completed)
Use cases, prototyping tools and test collections (completed)
Best practice for making data findable (completed)
Metadata enrichment (closed)
Data granularity (became a WG, in progress)
Publish structured metadata (became the Research Data Schemas WG, completed)
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 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. The group has been organising a session at each plenary.
Session Audience
Estimate of the Required Venue Room Capacity
  Under 50 seats
Type of Meeting
  Working Meeting
Additional Links to Informative Material
 
  • https://doi.org/10.1371/journal.pcbi.1006038
  • http://doi.org/10.5334/dsj-2019-003
  • http://dx.doi.org/10.17632/7j43z6n22z.1
  • https://www.rd-alliance.org/plenaries/international-data-week-2023-salzburg/ten-recommendations-data-repositoriescatalogues
Applicable Pathways
 
  • Data Infrastructures and Environments - Generalist
Preferences & Conflict Considerations
Avoid Conflict with the Following Group
 
  • FAIR4ML IG
  • Complex data Citation WG
Hybrid Plenary Details
Selection of Breakout Session Slots
 
  • Breakout 2. Tuesday, 12 November, 20:30-22:00 UTC
  • Breakout 3. Wednesday, 13 November, 14:00-15:30 UTC
  • Breakout 6. Thursday, 14 November, 16:00-17:30 UTC
  • Breakout 7. Thursday, 14 November, 18:30-20:00 UTC
Chair Acknowledgment
  Yes, I understand that at least one group chair must attend P23 in-person. We cannot accept sessions chaired fully online
Privacy Policy
  I agree to the privacy policy.

One response to “Group Session Applications | 03/07/2024 | Brigitte Mathiak”

  1. Chris Little says:
    July 3, 2024 at 9:46 am

    There is an ESIP conference in Asheville, North Carolina, USA, 23-26 July 2024. Some presentations look very relevant:
    Wednesday July 24, 2024 2:00pm – 3:30pm EDT Evolution of NASA GCMD Keywords to support semantic interoperability and FAIRness
    Wednesday July 24, 2024 4:00pm – 5:30pm EDT Next Generation Search and Discovery [AI/ML probably]
    Friday July 26, 2024 9:00am – 10:30am EDT Towards coordinating semantic resources
    HTH, Chris

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