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Controlled Information Source

How are differences in data models , provenance – maintained ?. How do corrections, annotations, and conflicting assertions on public profile presentation propagate back ?. Aggregator: (Content Type) Scope. LinkedIn. Mendeley. Overlap among members of group actor types?. Google Scholar.

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Controlled Information Source

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  1. How are differences in data models , provenance – maintained ? How do corrections, annotations, and conflicting assertions on public profile presentation propagate back ? Aggregator:(Content Type) Scope LinkedIn Mendeley Overlap among members of group actor types? Google Scholar NACO Libraries Aggregator:Internal/Private RERO GNL … Individually Maintained Profile VIAF (Identifiers) Individuals, Pseudonyms, Organizations, Uniform titles, Fictional Names Controlled Information Source Book Publishers Library Catalogs Library Catalog Gateway Uncontrolled Information Source Ringold(Org Names) Anonymous Pull ISNI(Identifiers) Individuals, Pseudonyms, & Organizations ISNI Registration Agencies/Members Authenticated Pull Funder Maintained Profiles(e.g. ScienceCV) Bowker Authenticated Push ORCID:(Identifiers & Researcher outputs)Living Researchers Individual Researchers Actor Type Institutional Repository Catalogs Institutional Repository Gateway ORCID Member Research Orgs CrossRef:(Publication)Journal Authors Specific Actor Scholarly Publishers CRIS Instances E.g. Symplectic, METIS Organizational Directory Profile National Identifier Systems (Identifier) E.g. DAI Public View National Research Institutions Harvard Profiles/Other Institutionally Deployed Profile systems VIVO:(Researcher Outputs)Researchers from Member Institutions VIVO Member Research Orgs Question? CAP

  2. Observations/General Questions • Much information flows through automated interfaces from left (member organizations) to right (public profiles), but in a complex way. • Not clear how systematically provenance is maintained as data flows • Not clear how differences in data models, scope (pseudonyms), semantics are resolved/handled as data flows downstream. Assume data is flattened/normalized as it moves from system to system, and some information not expressible in downstream system simply lost before it reaches presentation • Information flowing the opposite way is mostly through out-of-band mechanisms • manual corrections • ad-hoc processes or not publicly documented • Generally limited ability for information presented in later stages to be corrected, annotated, etc and for corrections, or other assertions to propagate back up to source. • Overlap among source institutions clearly exists, remains to be mapped out. Not clear how feed in to different sources are coordinated.

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