Value Added Services for Repositories

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Presentation transcript:

Value Added Services for Repositories Kazu Yamaji, NII Japan

Where Discovery Service Add Value International Cross Domain Level Registry Service DB+Logs Add Value Discovery Service Discovery Service National Cross Domain Level DB+Logs Add Value Repository Repository Repository Institution Domain Level DB+Logs DB+Logs DB+Logs Add Value

Institution & Domain Level

National & Cross Domain Level Portal services of Japanese IRs NII harvests almost all Japanese IRs - JAIRO is a “gyroscope” of IR content - Use it to search all IRs in Japan at once! OAI-PMH IRDB Content Analysis shows how contents are growing and gives detailed information on each IR. CiNii is the largest database of academic journal articles in Japan. Metadata on journal articles and departmental bulletins goes to CiNii and is linked to the full texts in the IRs. junii2 junii2 is a “Dublin Core” application profile for institutional repository with an OpenURL  compliant schema. It has been adopted by almost all IRs in Japan. http://www.nii.ac.jp/irp/en/archive/pdf/junii2_en_20090213.pdf

National & Cross Domain Level Linkage from CiNii metadata to fulltext in IR Link to the IR

National & Cross Domain Level JAIRO : Japanese Institutional Repositories Online To get the detailed Stats of each IR Narrow search by content type Narrow search by organization Mainly utilized by librarians to compare their IR with others or at the inter-university paper copy and transfer services.

National & Cross Domain Level IRDB Content Analysis System

International & Cross Domain Level OpenDOAR

International & Cross Domain Level OpenAIRE

Required Technology Ex: Name Disambiguation Type1: authorized ID -- authorized ID Type3: authorized ID -- local ID deduplication of records citation linkage Type2: authorized ID -- authorized ID Type4: local ID -- local ID heterogeneous database integration citation clustering

Required Technology Ex: Name Disambiguation Automatic identification Ternary classification (NOT, Uncertain, SURE) Crowd sourcing Data correction by researchers (Is this you?) Curation by experts Expensive (sometimes used for training and/or evaluating machine-learning based classifiers)