making sense of interest group/working group activity by rda technical advisory board beth plale...
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Making sense of Interest Group/Working Group Activity by
RDA Technical Advisory Board
Beth PlaleProfessor of Data Science
Indiana University USA
With special thanks to RDA/US Fellow Nic Weber
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• Beth Plale, co-chair (US)
• Andrew Treloar, co-chair (Australia)
• Bridget Almas (US)
• Carole Palmer (US)
• Chuang Liu (China)
• Francoise Genova (France)
Technical Advisory Board MembersTAB is an elected body
• Jamie Shiers (Switzerland)
• Peter Fox (US)
• Peter Wittenburg (Germany)
• Rainer Stotzka (Germany)
• Simon Cox (Australia)
• Susanna-Assunta Sansone (UK)
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TAB: what it does
• Case statement review: Reviews and guides case statement creation
• Liaison: Engages and supports IG/WG activity. Host plenary IG/WG Chairs meetings. Each IG/WG has liaison. Cross group coordination.
• Plenary planning : with eye towards minimizing overlap and quality proposals
• Socio-technical vision and strategy: technical scope of RDA, issues of productivity: – e.g., 30% are Working Groups and 70% are Interest Groups. Is
that right/good balance?
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RDA P6: 60 working groups and interest groups
60 WGs and IGs is a lot of activity.
How can newcomer possibly make sense of RDA?
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Conceptualizing RDA Activity through Clustering: A Brief History
• RDA TAB undertook effort begun in 2014 under lead of TAB co-Chair Dr. B. Plale to better illuminate collective activity of RDA
• Sources of information influencing– Analysis of WG/IG stated objectives and other
information – Numerous discussions with WG/IG chairs and
community– Multiple earlier versions of clustering, none of which
quite worked (comprehensive, illuminating)
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Clustering Purpose• Guide newcomers find products in progress of
interest, and groups to which they can contribute
• Help externals see scope of solution space of RDA
• Guide RDA members in gaps and overlaps• Help TAB in guidance and evaluation of
existing and new groups
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Clustering along two dimensions
• Beneficiary dimension: spectrum from data provider to data consumer – Primary beneficiary is data provider (or act of data
provisioning) at one end of spectrum or data consumer at other end of spectrum
• Solution dimension: spectrum from technical to social/organizational– Solution manifests itself most strongly as software or
infrastructure (technical) on one hand; or as policy, organizational, governance, educational, or community building (social) on other
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Technical solution aimed at data provider
Technical solution aimed at data consumer
Social/organizational solution aimed at data
consumer
Social/organizational solution aimed at data
provider
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Placing activity on grid
• Self identification/positioning by WG/IG chairs• Activity is represented as single point in grid
space labeled by (0, 100) in each dimension• Following graphs are for those WG/IGs that
have responded to inquiries so far (about 50% have responded)
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Social/organizational + data consumer
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Technical + Data Consumer
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Technical + Data Provider
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Social/organizational + Data Provider
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Terms to further describe• Use of terms to further describe activity of
WG/IG • Terms drawn from Data Practices and Curation
Vocabulary (DPCVocab) but not limited to
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For 34 groups who have replied with their info. Location: Q1: UR, Q2: LR, Q3: LL, Q4: UR. Color coded by quadrant and WGs in dark
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Term Assignment. Orange: social/consumer; Blue: technical/consumer. Terms chosen by group to describe activity more precisely than name alone.
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Larger version of full list of term assignment to date.
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Summary• Clustering has exposed relatively equal
representation of WG/IG activity in each category • WG activity more heavily concentrated in technical
dimension. TAB discussing solutions to stimulate WG activity on social/organizational dimension
• RDA/US Fellow: Building clustering into new web-enabled tool to explore RDA activity for RDA site
• RDA/US Fellow: gather additional information to study RDA (WG/IG engagement: e.g., profiles of those engaged based on organizational affiliation)
• Whitepaper in preparation on clustering