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Found 6 result(s)
The University of Cape Town (UCT) uses Figshare for institutions for their data repository, which was launched in 2017 and is called ZivaHub: Open Data UCT. ZivaHub serves principal investigators at the University of Cape Town who are in need of a repository to store and openly disseminate the data that support their published research findings. The repository service is provided in terms of the UCT Research Data Management Policy. It provides open access to supplementary research data files and links to their respective scholarly publications (e.g. theses, dissertations, papers et al) hosted on other platforms, such as OpenUCT.
Country
RU-Economicas is the repository of the Institute of Economic Research (IIEc) of the UNAM, created to manage, promote and preserve, in digital format, the intellectual production of Institute of Economic Research. The objective of this repository is to promote scholarly communication and increase the visibility and use of the content produced at the Institute. It houses various materials, which may have been arbitrated or not, including books, journals, articles, lectures, presentations, databases, audiovisual, and so on. The RU-Economics provides the general public, students, teachers and researchers, a search service and online consultation of digital resources produced by the academic community of the Institute of Economic Research. Our repository is part of our university's Digital Archives Network (RAD-UNAM) which aims to create a network of university repositories to support university departments in the management and dissemination of their digital resources. Thus, the Institute for Economic Research adds to the efforts of the UNAM for better management of and access to intellectual products of the university community in the digital environment.
Country
The sources of the data sets include data sets donated by researchers, surveys carried out by SRDA, as well as by government department and other academic organizations. Prior to the release of data sets, the confidentiality and sensitivity of every survey data set are evaluated. Standard data management and cleaning procedures are applied to ensure data accuracy and completeness. In addition, metadata and relevant supplement files are also edited and attached.