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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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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. |
format | Online Article Text |
id | pubmed-10492678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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