Open Access Statistics: How to Generate Interoperable Usage Information from Distributed Open Access Services 1.

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Presentation transcript:

Open Access Statistics: How to Generate Interoperable Usage Information from Distributed Open Access Services 1

Open Access Statistics (OAS) Initiated by: Funded by:

OAS – Fact Sheet First term 2008 - 2010 Project partners: Göttingen State- and University Library Computer and Media Service, Humboldt-Universität zu Berlin Saarland University and State Library University Library of Stuttgart http://www.dini.de/projekte/oa-statistik/english/

Challenges Log files as a result of the usage of repositories Gathering and aggregation of usage events through a central service provider Value-added services provided by the central service provider Usage data then to be retransferred to the repositories

Aims A common standard to enable the exchange of usage data between different services (e.g. repositories) An infrastructure to collect, process and exchange this usage data Usage data has to be provided by the repositories according to standards (COUNTER, LogEc and IFABC) Value-added services for repositories Implementation guidelines

Technical Infrastructure

Data provider

Service provider

Results and Outlook

Lessons Learned I Need for a central clearing house An amount of unnecessary data (OpenURL CO)  increase of the data size by factor ~10 Different situation with Linkresolvers USA USA Germany Catalogue Institution Institution Catalogue Institution Institution ? LR LR LR EZB EZB

Lessons Learned II Not every standard (COUNTER, LogEc and IFABC) fulfils the requirements  focus on COUNTER and IFABC Potential legal problems with German laws on privacy issues USA 11 11

Results Infrastructure for exchange of usage statistics Modules for OPUS- and DSpace-based repositories, other products can be configured easily, http://www.dini.de/projekte/oa-statistik/english/software/ Specification of the data format and exchange http://www.dini.de/fileadmin/oa-statistik/projektergebnisse/Specification_V5.pdf Online demo http://oa-statistik.sub.uni-goettingen.de/statsdemo Website with further information http://www.dini.de/projekte/oa-statistik/english/

Repository integration

Open Access Statistics 2 (OAS 2) http://www.gbv.de/vgm/vorlagen/logos/logos_2327.gif Initiated by: Funded by:

OAS 2 – Aims Start in April 2011 – for 2 years: Clarification of legal questions (laws on privacy protection) Opening the OAS infrastructure to offer standardised usage statistics Evaluation of metrics a) based on the pure frequency of usage b) more sophisticated approaches Cooperation to facilitate international comparable usage statistics Offer a functional service infrastructure Sustainability report after the first year

International cooperation PIRUS Publisher and Institutional Repository Statistics, UK SURFSure Statistics on Usage of Repositories, NL Knowledge Exchange Usage Statistics Group Denmark’s Electronic Research Library (DEFF) German Research Foundation (DFG) Joint Information Systems Committee (JISC) SURFfoundation, Netherlands Common sense Exchange format: OpenUrl ContextObjects Transfer via OAI-PMH Infrastructure based on a data provider – service provider system Normalisation: Robots-Detection COUNTER, NEEO, PEER, OAPEN … 16

Thanks for your attention! 17