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The UC San Diego Library Digital Collections website gathers two categories of content managed by the Library: library collections (including digitized versions of selected collections covering topics such as art, film, music, history and anthropology) and research data collections (including research data generated by UC San Diego researchers).
The ETH Data Archive is ETH Zurich's institutional digital long-term archive. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit file based research data from all domains. In particular, supplementary material to publications is deposited and published here. Research data includes raw data, processed data, software code and other data considered relevant to ensure reproducibility of research results or to facilitate re-use for new research questions. The ETH Data Archive contains both public research data with DOI and data with restricted access. Beyond this, born digital and digitized documents and other data from libraries, collections and archives are preserved in the ETH Data Archive, usually in the form of a dark archive without public access. You find open access data by searching the Knowledge Portal. You may either narrow your search to the Resource Type "Research Data" or the Collection "ETH Data Archive".
The FAIRDOMHub is built upon the SEEK software suite, which is an open source web platform for sharing scientific research assets, processes and outcomes. FAIRDOM (Web Site) will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.
ChEMBL is a database of bioactive drug-like small molecules, it contains 2-D structures, calculated properties (e.g. logP, Molecular Weight, Lipinski Parameters, etc.) and abstracted bioactivities (e.g. binding constants, pharmacology and ADMET data). The data is abstracted and curated from the primary scientific literature, and cover a significant fraction of the SAR and discovery of modern drugs We attempt to normalise the bioactivities into a uniform set of end-points and units where possible, and also to tag the links between a molecular target and a published assay with a set of varying confidence levels. Additional data on clinical progress of compounds is being integrated into ChEMBL at the current time.