Connectionists: Call for community review: The Essential Metadata for 3D BRAIN Microscopy metadata standards (3D-MMS)

INCF info at incf.org
Wed Dec 7 07:25:15 EST 2022


*INCF seeks community feedback on the 3D Microscopy Metadata Standard
(3D-MMS)*

Recent advances in fluorescence microscopy techniques and tissue clearing,
labeling, and staining provide unprecedented opportunities to investigate
brain structure and function, and to catalog brain cell types and define
their location, morphology, and connectivity in a native context.

It is essential to establish and adopt standards for annotating, reporting,
and formatting imaging datasets so that other researchers can understand,
reuse, and integrate microscopy data. The Essential Metadata for 3D BRAIN
Microscopy metadata standards (3D-MMS) were built on existing efforts and
developed with input from the brain microscopy community to promote
adoption. The metadata standards include 91 fields organized into seven
categories: Contributors, Funders, Publication, Instrument, Dataset,
Specimen, and Image. Each metadata field is specified by a name,
definition, a list of allowable values, whether it is required, and the
number of times it can be repeated for a dataset.

These metadata standards were developed by the BRAIN 3D Microscopy Working
Group, and are being implemented within the Brain Image Library, the
designated repository to accept and make microscopy data publicly available
for investigators funded by the US BRAIN Initiative.

Comments on this standard are open until February 3, 2023.

Add your comments here: bit.ly/ComRevDec22

Why is it important to comment?
Community feedback on standards & best practices helps us identify how
standards can be improved to be as interoperable as possible with the
systems, software, and resources that are currently being used in the field.

Find out how to submit your feedback: bit.ly/INCFreview

You can comment to express your support, help us identify potential
weaknesses, or highlight possibilities for making the standard better or
more useful. We value all feedback!

Read the INCF criteria for endorsement: bit.ly/INCFreviewcriteria

Community review report: bit.ly/ComRevDec22
3D-MMS in the INCF SBP catalog: bit.ly/INCFsbpBRAIN
Project page: bit.ly/DORyProject
3D-MMS on Github: bit.ly/3DMMSonGH
3D-MM in Nature: go.nature.com/3VWdcWX

Thanks for your help!
/The INCF Team
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