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The University research data repository – BathSPAdata – enables staff to upload their research data into a secure space, and to share this data publicly where appropriate, or where funders or publishers require this as part of their conditions. Resources and toolkits for external use can be made available through this forum, and can be used by Schools, policy makers, business and industry, and the cultural sector.
Pandora is an open data platform devoted to the study of the human story. Data may be deposited from various disciplines and research topics that investigate humans from their early beginnings until present in addition to their environmental context (e.g. archeology, anthropology history, ancient DNA, isotopes, zooarchaeology, archaeobotany, and paleoenvironmental and paleoclimatic studies, etc.). Pandora allows autonomous data communities to self-manage their webspace and community membership. Data communities self-curate their data plus other supporting resources. Datasets may be assigned a new DOI and a schema markup is employed to improve data findability. Pandora also allows for links to datasets stored externally and having previously assigned DOIs. Through this, it becomes possible to establish data networks devoted to specific topics that may combine a mix of datasets stored either within Pandora or externally.
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This Open Data Portal provides access to a wide range of research data and data for research from various institutes, departments, faculties, research projects, libraries, archives, and individuals of the Pontifical Catholic University of Peru. It serves the entire university community, offering an extensive repository of datasets to support academic research and collaboration.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.