Content Analysis of Indonesian Higher Education Institutional Repositories

Initiated by research into the institutional repositories (IRs) of Indonesian higher education institutions, data was collected using 3 web tools, OpenDOAR - Directory of Open Access Repositories, ROAR - Registry of Open Access Repositories and Webometrics – Ranking Web of Repositories. This dataset is the result of the content analysis of 52 Indonesian higher education institutional repositories. The content analysis is part of a Doctoral research at the Department of Information Studies, School of Media, Culture and Creative Arts, Faculty of Humanities, Curtin University, Western Australia. The research title is "Institutional Repositories and Open Access in Indonesian Higher Education Sector: Case Studies of Three Indonesian Universities" (Ethics Approval: No. RDHU-08-15). The other parts of the research are an Online Survey (Jun-Aug 2015) and in-depth interviews conducted in three Indonesian universities in Nov-Dec 2015. The same content analysis will be re-done (longitudinal) in 2016/2017, in which case similar - but with more - data will be produced. Another dataset will be created for this longitudinal study with links connecting both datasets, to the resulting journal articles, and to the Doctoral Thesis document.

This dataset is originally uploaded to accompany a journal article titled "A Different Shade of Green: A Survey of Indonesian Higher Education Institutional Repositories" published in Journal of Librarianship and Scholarly Communication (JLSC) in 2017 ( https://doi.org/10.7710/2162-3309.2136 ). This dataset contains quantitative results of the content analysis: geographical distribution of the IRs, distribution of the IRs based on the status of the universities (state, private), software of the IRs and their features, degree of openness, number of digital objects in each IR, types of work present in each IR, the use of keywords and subject headings as access points (including the language of the access points), and local practices (author and collection naming). The content analysis was mainly done to the metadata of some sample records from and characteristics of each IR.