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Brief DFT Report (6/13/18) Gary Berg-Cross

Brief DFT Report (6/13/18) Gary Berg-Cross. Purpose: Improved communication using the conceptual tool of more standardized, well defined, labeled concepts Accomplishments: large, growing defined, foundational vocabulary including a RDA “core” & some visualizations of the same.

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Brief DFT Report (6/13/18) Gary Berg-Cross

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  1. Brief DFT Report (6/13/18) Gary Berg-Cross Purpose: Improved communication using the conceptual tool of more standardized, well defined, labeled concepts Accomplishments: large, growing defined, foundational vocabulary including a RDA “core” & some visualizations of the same. Issues: Desire more, consistent community input & validation, useful forms, enrichment, coordination with other vocabularies Plans: Include vocabularies from new gps, mature MD concepts, relate concepts to expand the core, support RDA data analysis, identifying overlaps? (synergies, dependencies, gaps) and support group tagging.... Group Relations: all, but Voc Services, MIG, DF, Libraries for Research Data IG,Data Description Registry Interoperability WG.. Mission/Roadmap fit: We should help new members understand RDA as well as the discussion of Roadmap “features” etc.

  2. NIST Collab Breakout group 1 • Purpose: Consider group categorization as a method/process to address various issues: DFT Might Help with tasks • RDA members and non-members to understand the activities within RDA • Identify connections across groups • RDA (organization) identify gaps and overlaps among groups • to communicate the objectives of RDA to outsiders/funders • Some Group Draft categories list covered by DFT data vocabulary: • Discover, Preservation & Reusability of Data • Linking data and scholarly literature • Data for decision making • Interoperability between RIs • Workforce development for data professionals and researchers

  3. Example of Recent Additions/Edits that RDA is “talking about” June Data Sharing (added principles) Metadata schema and Discoverability Data standards‎ and Preservation‎ Data Curation‎ May Data Publication‎; ‎Garybc ‎ (from the NLM data thesaurus.) Linked Data‎; . . ‎Garybc (relates to 1st breakout group) Data Catalog‎; . . ‎Garybc C2CAMP – many new terms..... Science Ecosystem, digital object model, tightly associated metadata, Object typing, Mapping services, Global Digital Object Cloud, virtually aggregated digital objects, Solution Space ?????

  4. Addressing grand challenges of society Simplified Views: What RDA says and shows... Producers Consumer Community Innovation Opportunity Researchers and innovators Technologies, disciplines, countries Sharing Data openly across Develop & adapt Supports Infrastructures, tools practices, policies Group products - Building blocks, Standards, semantics..... Uses Useful for Group 3 understand operational metrics needed to characterize RDA Work Can vocabularies show us how groups align/connect/overlaps???

  5. Roadmapping: Create a higher level Roadmap by rolling up/abstracting specific group ones? Identify key activities, dependencies, milestones that can be rolled up/abstracted into a higher level roadmap. Found Common threads (some data-oriented some strategic): 1. Metadataschema development and mediation across disciplines are critical for meeting high level RDA goals. 2. Outputs from one WG can be repurposed for other WGs and disciplines, but awareness is not obvious from RDA web alone. 3. WGs and IGs should be adopters for other groups’ outputs. For example, Chemistry IG could spin up WG that would modify Materials discovery schema and work with NIST for deployment. 4. Exposes milestones necessary for intergroup collaboration. Exposes schedules where there are dependencies. 5. Registry is fundamental capability for discovery, that needs to be repurposed for different disciplines.

  6. Group 3: understand the operational metrics needed to characterize RDA Work Group Lineage BOFs -> WG/IG IG -> WG WG -> IG Chairs (terms) When did the chair start? Who is the chair at each plenary? Participation in plenaries Dates (start, activity) Adoption Relationship/Group connections Formal Outputs Name (PID) Group Dates Type Authors

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