What information about data do users desire for discovery?

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28 Jul 2020
Group(s) submitting the application: 
Meeting objectives: 
  • To update the group progress

  • To discuss how user studies can inform population of metadata nd 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 Notes Link: https://docs.google.com/document/d/1LkFSfMlV1MNTJpLUKuHf0_fp2rUUireFjzXf...

  1. Introduction of the group (10 minutes) (Fotis Psomopoulos)
  2. Update on the Granularity progess (10 mintes) (Katherine McNeill)
  3. Two presentations of user studie (30 mins)
    • What are main search interests in biodiversity research?  (Felicitas Loffler)
    • Data seeking in the Social Sciences (Brigitte Mathiak)
  4. Group discussion (35 minutes)
    • Room 1: Granularity-related discussion
    • Room 2: Use study related discussion
    • Room 3: Ideas about new topics/TFs
  5. 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: 
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 BoF has been submitted)

  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
Avoid conflict with the following group (1): 
Avoid conflict with the following group (2): 
Avoid conflict with the following group (3):