standards > reporting guideline > DOI:10.25504/FAIRsharing.yy18av
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ready Minimum Information About a Cellular Assay for Regenerative Medicine

Abbreviation: MIACARM


General Information
Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.

Homepage http://stemcellinformatics.org/standards/minimum_info

Countries that developed this resource European Union , Japan , United Kingdom , United States

Created in 2016

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How to cite this record FAIRsharing.org: MIACARM; Minimum Information About a Cellular Assay for Regenerative Medicine; DOI: https://doi.org/10.25504/FAIRsharing.yy18av; Last edited: Jan. 8, 2019, 1:38 p.m.; Last accessed: Jun 06 2020 1:25 a.m.


This record is maintained by KSakurai

Record added: Oct. 11, 2016, 10:02 a.m.
Record updated: Oct. 14, 2016, 3:26 a.m. by KSakurai.

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First proposal of Minimum Information About a Cellular Assay for Regenerative Medicine

Kunie Sakurai, Andreas Kurtz, Glyn Stacey, Michael Sheldon, and Wataru Fujibuchi
Stem Cells Translational Medicine 2016

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SHOGoiN
SHOGoiN Cell Database is a repository for accumulating and integrating diverse human cell information to support a wide range of cell research at the single-cell resolution. It is an extension of the human cell database, CELLPEDIA. The database consists of several modules that store cell lineage maps, transcriptome, methylome, cell conversions, cell type markers, and cell images with morphology data curated from public as well as contracted resources, based on sophisticated cell taxonomy.

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