SUSTAINABILITY OF OPEN ACCESS SERVICES: Phase 3: The Collective Provision of Open Access Resources

The report ‘Sustainability of Open Access Services - Phase 3: The Collective Provision of Open Access Resources’ discusses the economic and institutional issues faced by those sustaining free infrastructure services. It also identifies strategies to coordinate the collective provision of infrastructure services. These considerations are valuable input for the phases 4 and 5 of the project ‘Sustainability of Open Access Services’. This body of work will lead to practical recommendations for funders and project planners to consider when initiating an infrastructure service. The report was written by Raym Crow and funded by SPARC. Several key messages from the report are of interest. Providing infrastructure services as a public good imposes specific requirements on the design of the sustainability model. The challenge is to get enough institutions to reveal their demand for the service and support this. Arguments for an institution to support can be altruism or reciprocity or there being sufficient benefit to the institution for supporting a service. Institutions can also work together on a service through collective action (collecting voluntary contributions) and cross subsidies (funding collected by offering exclusive benefits to contributors).

Combined useage statistics as a basis for Research intelligence

Knowledge Exchange hosted a workshop in March 2010 with the aim to bring together technical experts working in partner projects collecting usage statistics including PIRUS2, OAstatistik and SURFsure projects. Experts from other related projects (RePec and NeeO) were also involved. The workshop produced a briefing paper on combined usage statistics as a basis for research intelligence. In this paper, the experts make a cause for collecting and exchanging usage statistics as this can provide valuable insight in how research is being used, not only by the research community, but also by business and society in general. This would provide a basis for 'Research Intelligence', an intelligent use of reliable numerical data which can be used as a basis for decision making in higher education and research. Usage statistics are a clear example of data which can offer a valuable contribution to the information required to make informed decisions. To allow for the meaningful collection, exchange and analysis of usage statistics, a number of challenges and opportunities need to be addressed and further steps need to be taken.