MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10258689" target="_blank" >RIV/61989100:27740/25:10258689 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14740/25:00143638

Result on the web

<a href="https://www.nature.com/articles/s41592-025-02835-8" target="_blank" >https://www.nature.com/articles/s41592-025-02835-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41592-025-02835-8" target="_blank" >10.1038/s41592-025-02835-8</a>

Result language

angličtina

Original language name

MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis

Original language description

Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific guidelines to improve the reuse of bioimages and annotations for AI applications. These include standards on data formats, metadata, data presentation and sharing, and incentives to generate new datasets. We are sure that the Metadata, Incentives, Formats and Accessibility (MIFA) recommendations will accelerate the development of AI tools for bioimage analysis by facilitating access to high-quality training and benchmarking data. © 2025 Elsevier B.V., All rights reserved.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nature Methods

ISSN

1548-7091

e-ISSN

1548-7105

Volume of the periodical

22

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

8

Pages from-to

2245-2252

UT code for WoS article

001571263700001

EID of the result in the Scopus database

2-s2.0-105016494386