Data Fabric Ecosystem and Metadata Management
Explore the data fabric ecosystem and metadata management for configurations, components, and information objects. Learn about provenance, permissions, and relationships within this information processing ecosystem.
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Presentation Transcript
RDA End to End Plenaries + Special Purpose Mtgs Tech Transfer RDA Global Collaboration, Ideas, Connections Outreach Mtgs Publication Testing & Eval RDA Coord Groups Third Parties Funded Projects Infra. Providers WGs IGs BOFs Coord Groups Council TAB OAB Sec WG & IG Efforts Approved WG Outputs Single Purpose, e.g., PP, DTR DFIG Configurations, e.g., DFIG1, DFIG2 Open to all MEMBERS Test & Eval Reveals New Requirements & Opportunities Tested, Hardened, Integrated Volunteers Paid Staff Funding Adopters RDA Regional Bodies National Projects Education & Training National Policies Coordination SDOs Domain Orgs Research Grps Tech providers ETC Adoption Positively Influences Regional Activity and Funding $ Funding Agency Funding Agency Funding Agency
Data Fabric (DF) Metadata DF is fundamentally a concept an set of components creating an information processing management ecosystem. Individual configurations, e.g., DFconfig1, DFconfig2, etc., need to be described. Individual components (services of all kinds: processing, storage, instruments, etc) need to be described The information objects that live in the ecosystem need to be described.
Data Fabric (DF) Metadata for Configurations Name (ID) Provenance Permissions Human level description what is the intent of this configuration Components (IDs) Intended Role(s) Relationship(s) to other components
Data Fabric (DF) Metadata for Components Name (ID) Provenance Permissions Human level description what is the intended function of this component APIs, technical documentation, associated public services, etc. Back links to DF configurations using this component, if known
Data Fabric (DF) Metadata for Information Objects Name (ID) Data Type (ID) Data Type registered in a DTR with its own metadata, including what is needed to parse and understand the data Provenance Permissions
