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Get an overview of the da|ra project for DOI registration of social and economic data. Learn about the technical implementation, metadata and policy framework, and the services implemented. Explore the beta version of the DOI registration system and the da|ra metadata schema and policy. See the first data set registered and the number of DOI names registered. Discover how GESIS became a member of DataCite and the future goals of the project.
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DOI Registration for Social and Economic Data da|ra Brigitte Hausstein GESIS Leibniz-Institute for the Social Sciences, Berlin
Overview on the project • Components: Technical implementation, metadata and policy framework • Implemented services, demo
01 11 02 10 03 10 07 10 10 10 • start of the pilot project “da|ra” • MoU with the Leibniz Information Center for Economics (ZBW) • project “Registration portal for Social and Economic data” started • OECD meta data will be included • beta version of the DOI registration system • da|ra metadata schema • da|ra policy • first data set registered • 4572 DOI names registered • service open to social science data centres GESIS became member of DataCite
Technicalsystem (SOA) USER PUBLICATION AGENT RESOLVING SERVICE DOI FOUNDATION search edit/import DataCite INDEXING SERVICE INDEXING SERVICE da|ra INFORMATION SYSTEM REGISTRY SERVICE REGISTRY SERVICE DDI SERVICE METADATA STORRAGE DDI SERVICE
Metadata schema: Goals • support the DataCite metadata kernel • additionally: domain specific possibilities for retrieval and discovery • Social sciences • Economics (under development) • support German and English metadata • to be further developed with publication agents
da|ra metadata schema • beta version 34 properties, 16 mandatory • compatible to DOI and DataCite Kernel • compatible to DDI on study level • Metadata: edit, xml import and upload (web interface)
da|ra policy framework da|ra policy General policy for the assignment of Digital Object Identifiers (DOI names) Service Level Agreement (SLA) Basis for the cooperation with publication agents Guidelines & Best practices
Who? Data Archives Research Data Centers Service Data Centers Future: individual Researchers (via self archiving) What? survey data aggregate data micro data qualitative data Future: pictures, further data formats, scales Register: Who & what?