1 / 19

Data in Context Co- chairs : Brigitte Jörg, Keith Jeffery

Data in Context Co- chairs : Brigitte Jörg, Keith Jeffery. RDA 3rd Plenary , March, 26th - 28th, 2014 Dublin. Brief History. 1st Plenary Gothenburg Preparing a WG Proposal /Case Statement „ Contextual Metadata “ A lot of interest Revision of Initial Use Cases

nash
Download Presentation

Data in Context Co- chairs : Brigitte Jörg, Keith Jeffery

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data in ContextCo-chairs: Brigitte Jörg, Keith Jeffery RDA 3rd Plenary, March, 26th - 28th, 2014 Dublin

  2. Brief History • 1st PlenaryGothenburgPreparing a WG Proposal/Case Statement „ContextualMetadata“ • A lotofinterest • Revision of Initial Use Cases • Use Cases asspecificaspossible • Alignmentwithother WGs / Activities • Fourrevisedusecases: • Researcher: Find data .. • Manager: Indicatetofunder • Provenance: Allowtotakesegmentsfromstreameddataworkflows • Interoperability: Exchange ofcontextualmetadata • Rename Group to „Data in Context“

  3. Data in ContextIG Approach • Lifecycle Approach • Linear Sequenceof Elements • Cyclic Repetition of Elements • InvestigateLifecycle Models • DCC:Conceptualize; Create; Access; Use; Appraise; Select; Dispose; etc • DDI: Discovery & Planning; Initial Data Collection; etc. • Research Lifecycle (Jisc): Research Process: Simulate Experiment; Manage Data; Analyse; etc. • etc. ?? • Investigatecontextuallyorsubcontextually-aware standardizationwork • OAIS; CASRAI; CERIF; VIVO; PROV; PREMIS; MARC; CKAN; DCAT; ISO; W3C; OMG; Research Objects, etc. • Investigate/ PrioritizeReusableRequirements • Deliverables: • M6: Overviewof contextually-aware standardization work • M12: PriorityList of Requirements • Goal: • Set up of a Working Group • Implementation of StandardizedProfiles • Long-term Goal: • Automated Transformation Between Standards

  4. Collaboration / Exchange • RDA FoundationandTerminology • RDA Metadata Standards Directory WG • RDA PID Information Types WG • ICSU Open Metadata Catalogue andKnowledge Networks WG • RDA/WDS Workflows for Publishing Data IG • RDA Data Description Registry Interoperability • RDA Semantic Interoperability Activity • RDA Metadata Interest Group • Various W3C groups (LOD, SW....)

  5. Requirements / Needs • Stakeholders • Data Producers • Data Consumers • Standardized Open Vocabularies • Standardized Formal Data Profiles • Standardized Formal Semantics Template First Stepstakenwith developing a Template Apply

  6. DCC – The CurationLifecycle Stakeholders Data Producer Data Consumer Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics http://www.dcc.ac.uk/digital-curation/what-digital-curation

  7. DDI Lifecycle Stakeholders Data Producer Data Consumer • DDI ControlledVocabularies • Analysis Unit; Character Set; Commonality Type; Lifecycle Event Type; Response Unit; Software Package; Summary Statistic TypeTime Method Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics http://www.ddialliance.org/Specification/DDI-CV/

  8. Data Assets Framework Stakeholders Data Producer Data Consumer Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics http://www.data-audit.eu/

  9. Research Lifecycle Stakeholders Data Producer Data Consumer • DDI ControlledVocabularies • Analysis Unit; Character Set; Commonality Type; Lifecycle Event Type; Response Unit; Software Package; Summary Statistic TypeTime Method Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics http://www.jisc.ac.uk/whatwedo/campaigns/res3/jischelp.aspx

  10. RDA PracticalPolicy WG Stakeholders Data Producer Data Consumer Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics Src: Slide Extract Rainer Stotzka, Reagan Moore providedfor„Data in Context“ session, RDA 3rd Plenary

  11. Data Lifecycle Acquisition & Modeling Archiving & Preserving Collaboration & Visualisation DATA Stakeholders Data Producer Data Consumer Analysis & Data Mining Dissemination & Sharing Standardized Open Vocabularies StandardizedFormal Data Profiles StandardizedFormal Semantics Src: KeynoteTony Hey at RDA 3rd Plenary

  12. Experimental Context, Publishing and Research Objects Investigation as a first class object Record Publication Proposal Subsequent publication registered with facility Approval Data analysis Scheduling Scientist submits application for beamtime Data storage Experiment/Investigation Tools for processing made available Raw data filtered, and stored Facility committee approves application Scientists visits facility, run’s experiment Facility registers, trains, and schedules scientist’s visit Src: Slide extractBrian Matthews, STFC providedfor „Data in Context“ session, RDA 3rd Plenary

  13. Liberalised Meta-Data Is a network Publisher RDI Outputs/ Online Resources People Coverage (Temporal, Spatial, Topic) Citation Institutions Projects Use, Caveats, Lineage, Methods, and Licenses Initiatives Networks Relationships are contributed by (1) meta-data mining (2) information from websites conforming to schema (3) social-media-type sites and VREs (4) existing network contributions (5) scraping existing websites (6) ontologies and vocabularies (…) Funders Src: Slide Extract Wim Hugo, ICSU WDS providedfor„Data in Context“ session, RDA 3rd Plenary

  14. Etc. • Data CurationProfiles (Purdue University) • ODP Model (ISO Reference Model for Open Distributed Processing)

  15. Standards • e.g. • OAIS • CASRAI • CERIF • VIVO • PROV • PREMIS • MARC • CKAN • DCAT • ISO • W3C • OMG • ODP • etc. Jeffery et. al. 2013 http://resources.metapress.com/pdf-preview.axd?code=vl5422n2u7112669&size=largest

  16. Emerging e-Infrastructure Discovery Contextual Discovery Jeffery et. al. 2013 http://resources.metapress.com/pdf-preview.axd?code=vl5422n2u7112669&size=largest

  17. Agenda Session 1: Thursday, March 27 - 15:30 - 17:00 • IntroductionandOverviewfrom Co-Chairs • Contributionsfrom RDA Members • Data Publishing Workflows, DCC Data Profiles (Angus Whyte) • Data Description Registry Interoperability (Amir Aryani) • Long-tail Data IG, Data Publishing IG (Jochen Schirrwagen) • WDS Knowledge Network activity (Wim Hugo) • Experimental Context, Publishing and Research Objects (Brian Matthews) • Reference Model Proposal(Yin Chen) • Discussion Notes Taking: AlessiaBardi, RDA Early Career Researchers Programme recipient.

  18. Agenda Session 2: Friday, March 28 - 11:00 – 12:30 • RecapandOverviewfrom Co-Chairs • Contributionsfrom RDA Members • SemanticInteroperability, (Gery Berg-Cross) • Metadata WGs (Keith Jeffery, Rebecca Koskela) • PracticalPolicy Sessions (Slides Reagan Moore) • Discussion Notes Taking: AlessiaBardi, RDA Early Career Researchers Programme recipient.

  19. Rough Work Plan • M6: Overviewofcontextuallyawarestandardizationwork • M12:Priority List ofRequirements • Fromtheresetup a RDA Working Group • Requirements-driven • Implementation of Standards WG Plan

More Related