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Data Granularity WG

  • Creator
    Discussion
  • #134158

    Katherine McNeill
    Participant

    Collaborative Meeting Notes:
    https://docs.google.com/document/d/1Q-FHQ8VQ0MB3ab2Vk_yqPrEFWk-ZlMiKnlbz
     
    Introduction to Data Granularity (by the chairs) (15 min.)

    Welcome

    Definition of granularity

    Mission statement 

    Update on Case Statement & status of WG

    Domain-specific Granularity Scenarios (by WG members) (15 min.)

    Lightning mini presentations that represent different domains

    Break-out group discussions  (30 min.)

    Random groups 

    Task 1: discuss similarities and differences observed within the scenarios from the lightning talks; identify conventions & evaluate their pros & cons

    Task 2: what are the known problems regarding data granularity; what are the unknowns that we would like to learn/questions you have

    Task 3: collect their own use cases

    Result collection from the Break-out groups (10 min.)
    Discussion on survey to collect existing challenges, solutions and approaches for granularity (10 min.)
    Wrap-up (10 min.)

    Are you willing to hold your session at multiple times to accommodate various time zones?
    Yes

    Avoid conflict with the following group (1)
    Data Discovery Paradigms IG

    Avoid conflict with the following group (3)
    Data Versioning IG

    Contact for group (email)
    kmcneill@hbs.edu

    Group chair serving as contact person
    Katherine McNeill

    Meeting objectives

    Welcome additional participants interested in working on this topic
    Identify data granularity use cases, including known problems regarding data granularity and unknowns/questions to explore.
    Present existing approaches for segmenting datasets and collections in some domains, and evaluate their merits and variance. 
    Discuss planned survey to collect existing challenges, solutions and approaches for granularity
     

    Please indicate the breakout slot (s) that would suit your meeting
    Breakout 2, Breakout 4

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