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URL: https://www.miti-consortium.org/
Proper Citation: Minimum Information about Tissue Imaging (RRID:SCR_022830)
Description: Consortium provides guidelines for highly multiplexed tissue images. Standard that applies best practices developed for genomics and other microscopy data to highly multiplexed tissue images and traditional histology. Data and metadata standards consistent with Findable, Accessible, Interoperable, and Reusable (FAIR) standards that guide data deposition, curation and release.
Abbreviations: MITI
Synonyms: MITI Consortium
Resource Type: consortium, data or information resource, narrative resource, organization portal, portal, standard specification
Defining Citation: PMID:35277708
Keywords: Data and metadata standards, FAIR, tissue imaging, minimum information standard, guidelines for highly multiplexed tissue images
Funding: NCI U2C CA233195; NCI U2C CA233238; NCI U2C CA233254; NCI U2C CA233262; NCI U2C CA233280; NCI U2C CA233284; NCI U2C CA233285; NCI U2C CA233291; NCI U2C CA233303; NCI U2C CA233311; NCI U54 CA225088
Availability: Free, Freely available
Resource Name: Minimum Information about Tissue Imaging
Resource ID: SCR_022830
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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.
Email: info_at_ dknet.org
