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eSciDoc – A Service Infrastructure for Cultural Heritage Content

eSciDoc – A Service Infrastructure for Cultural Heritage Content. VSMM 2008 – Digital Archives Online Natasa Bulatovic, Ulla Tschida, Andreas Gros Max Planck Digital Library (MPDL), Munich (DE). About eSciDoc. Joint project Max-Planck Society (MPG) and FIZ Karlsruhe

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eSciDoc – A Service Infrastructure for Cultural Heritage Content

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  1. eSciDoc – A Service Infrastructure for Cultural Heritage Content VSMM 2008 – Digital Archives Online Natasa Bulatovic, Ulla Tschida, Andreas Gros Max Planck Digital Library (MPDL), Munich (DE)

  2. About eSciDoc • Joint project Max-Planck Society (MPG) and FIZ Karlsruhe • Funded by Federal Ministry of Education and Research (BMBF) in the context of eScience • Service infrastructure for communication, collaboration and publication of research data and results • Participation - Requirements • Max-Planck Institutes (Partner, Early Adopter) • External organisations (e.g. National Institute for Material Sciences (NIMS), Japan)

  3. Requirements (context Cultural heritage) • Managing various data artifacts • digitized text corpora, annotated images • holdings with special research interest • Supporting multiple research and collaborative scenarios • sharing, annotating, authoring • Semantic enrichment of research • data tagging and relating • Data interoperability and standards • DARIAH – infrastructure for distributed data holdings • Long-term archiving and preservation • Persistent identification of resources • Open Access, fine-granular access rights

  4. eSciDoc infrastructure (overview) • user-centered and specialized Solutions • Research data (images, text corpora etc.) • Publication data (articles, papers, books, etc.) • Publish, share, enrich, visualize, relate data and metadata • Support for different workflows • “Stress-test” for complete infrastructure • sustainable Service infrastructure • core services: management of resources (CRUD, versioning, PID, etc.) • intermediate services: value-adding (validation, duplicate checking, statistics, image handling, metadata transforming, technical metadata extracting etc.) • application services: searching, exporting, authority records, citation styles formatting • authentication and authorization across service layers

  5. eSciDoc resource patterns • Items • publications, scanned pages, images, Table of contents etc. • Containers • Albums, (multi)-volumes, Researcher portfolios, Yearbook catalogs etc. • Contexts • Rules and policies for handling data • Organizational Units • Relations • Revisions, Image-transcription-translation

  6. eSciDoc landscape

  7. Fact sheet eSciDoc infrastructure • Repository-based (FedoraCommons) • Service-oriented • Diverse descriptive metadata profiles, technical metadata automatically extracted (JHOVE) • Elaborated information on each working and published version of resources (PRONOM) • Aggregations and relations between resources (e.g. membership, revisions) • Persistent identification of resources and their components (Handles or other, e.g. DOI, URI) • Open-source (CDDL license , see www.escidoc-project.de)

  8. Thank You! • Contact: (bulatovic, tschida, gros)@mpdl.mpg.de • Join our community;-) • eSciDoc project pages at www.escidoc-project.de • MPDL Colaboratory http://colab.mpdl.mpg.de

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