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Building a FAIR image data ecosystem for microscopy communities

Bioimaging has now entered the era of big data with faster-than-ever development of complex microscopy technologies leading to increasingly complex datasets. This enormous increase in data size and informational complexity within those datasets has brought with it several difficulties in terms of co...

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Autores principales: Kemmer, Isabel, Keppler, Antje, Serrano-Solano, Beatriz, Rybina, Arina, Özdemir, Buğra, Bischof, Johanna, El Ghadraoui, Ayoub, Eriksson, John E., Mathur, Aastha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492678/
https://www.ncbi.nlm.nih.gov/pubmed/37341795
http://dx.doi.org/10.1007/s00418-023-02203-7
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author Kemmer, Isabel
Keppler, Antje
Serrano-Solano, Beatriz
Rybina, Arina
Özdemir, Buğra
Bischof, Johanna
El Ghadraoui, Ayoub
Eriksson, John E.
Mathur, Aastha
author_facet Kemmer, Isabel
Keppler, Antje
Serrano-Solano, Beatriz
Rybina, Arina
Özdemir, Buğra
Bischof, Johanna
El Ghadraoui, Ayoub
Eriksson, John E.
Mathur, Aastha
author_sort Kemmer, Isabel
collection PubMed
description Bioimaging has now entered the era of big data with faster-than-ever development of complex microscopy technologies leading to increasingly complex datasets. This enormous increase in data size and informational complexity within those datasets has brought with it several difficulties in terms of common and harmonized data handling, analysis, and management practices, which are currently hampering the full potential of image data being realized. Here, we outline a wide range of efforts and solutions currently being developed by the microscopy community to address these challenges on the path towards FAIR bioimaging data. We also highlight how different actors in the microscopy ecosystem are working together, creating synergies that develop new approaches, and how research infrastructures, such as Euro-BioImaging, are fostering these interactions to shape the field.
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spelling pubmed-104926782023-09-11 Building a FAIR image data ecosystem for microscopy communities Kemmer, Isabel Keppler, Antje Serrano-Solano, Beatriz Rybina, Arina Özdemir, Buğra Bischof, Johanna El Ghadraoui, Ayoub Eriksson, John E. Mathur, Aastha Histochem Cell Biol Review Bioimaging has now entered the era of big data with faster-than-ever development of complex microscopy technologies leading to increasingly complex datasets. This enormous increase in data size and informational complexity within those datasets has brought with it several difficulties in terms of common and harmonized data handling, analysis, and management practices, which are currently hampering the full potential of image data being realized. Here, we outline a wide range of efforts and solutions currently being developed by the microscopy community to address these challenges on the path towards FAIR bioimaging data. We also highlight how different actors in the microscopy ecosystem are working together, creating synergies that develop new approaches, and how research infrastructures, such as Euro-BioImaging, are fostering these interactions to shape the field. Springer Berlin Heidelberg 2023-06-21 2023 /pmc/articles/PMC10492678/ /pubmed/37341795 http://dx.doi.org/10.1007/s00418-023-02203-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Kemmer, Isabel
Keppler, Antje
Serrano-Solano, Beatriz
Rybina, Arina
Özdemir, Buğra
Bischof, Johanna
El Ghadraoui, Ayoub
Eriksson, John E.
Mathur, Aastha
Building a FAIR image data ecosystem for microscopy communities
title Building a FAIR image data ecosystem for microscopy communities
title_full Building a FAIR image data ecosystem for microscopy communities
title_fullStr Building a FAIR image data ecosystem for microscopy communities
title_full_unstemmed Building a FAIR image data ecosystem for microscopy communities
title_short Building a FAIR image data ecosystem for microscopy communities
title_sort building a fair image data ecosystem for microscopy communities
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492678/
https://www.ncbi.nlm.nih.gov/pubmed/37341795
http://dx.doi.org/10.1007/s00418-023-02203-7
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