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URL: https://github.com/openMetadataInitiative/openMINDS
Proper Citation: openMINDS metadata framework (RRID:SCR_023173)
Description: The openMINDS metadata framework comprises: schema specifications for multiple, interlocked metadata models for Linked Data, instance libraries for serviceable, well defined terms and constructs, as well as supportive tooling. openMINDS is developed as open source project by Open Metadata Initiative on GitHub. The framework is distributed over multiple, interlinked GitHub projects with one main GitHub repository for central access and maintenance.
Abbreviations: openMINDS
Synonyms: openMINDS metadata framework, open Metadata Initiative for Neuroscience Data Structures, openMINDS framework, openminds
Resource Type: data or information resource, narrative resource, standard specification
Keywords: open science, metadata schema, graph metadata model, serviceable terminology
Funding: European Union’s Horizon 2020 Framework Programme for Research and Innovation - Human Brain Project SGA1 720270; European Union’s Horizon 2020 Framework Programme for Research and Innovation - Human Brain Project SGA2 785907; European Union’s Horizon 2020 Framework Programme for Research and Innovation - Human Brain Project SGA3 945539; European Union’s Research and Innovation Program Horizon Europe - EBRAINS 2.0 101147319; Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL)
Availability: Free, Available for download, Freely available,
Resource Name: openMINDS metadata framework
Resource ID: SCR_023173
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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