A Global View of Standards for Open Image Data Formats and Repositories
Biological and biomedical imaging datasets record the constitution, architecture and dynamics of living organisms across several orders of magnitude of space and time. Imaging technologies are now used throughout the life and biomedical sciences to achieve discovery and understanding of biological m...
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creator | Swedlow, Jason R Kankaanpää, Pasi Sarkans, Ugis Goscinski, Wojtek Galloway, Graham Sullivan, Ryan P Brown, Claire M Wood, Chris Keppler, Antje Loos, Ben Zullino, Sara Longo, Dario Livio Aime, Silvio Onami, Shuichi |
description | Biological and biomedical imaging datasets record the constitution,
architecture and dynamics of living organisms across several orders of
magnitude of space and time. Imaging technologies are now used throughout the
life and biomedical sciences to achieve discovery and understanding of
biological mechanisms in the basic sciences as well as assessment, diagnosis
and therapeutic intervention in clinical trials and animal and human medicine.
The universal application and use of imaging raises an important question and
opportunity: what is the value and ultimate destination of biological and
medical imaging data? In the last few years, several informatics and data
science technologies have matured sufficiently so that routine publication of
these datasets is now possible. Participants in Global BioImaging from 15
countries and all populated continents have agreed on the need for
recommendations and guidelines for the establishment of image data repositories
and the formats they use for delivering data to the global scientific
community. This white paper presents a shared, global view of criteria for
these common, globally applicable guidelines and provisional proposals for open
tools and resources that are available now and can provide a foundation for
future development. |
doi_str_mv | 10.48550/arxiv.2010.10107 |
format | Article |
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architecture and dynamics of living organisms across several orders of
magnitude of space and time. Imaging technologies are now used throughout the
life and biomedical sciences to achieve discovery and understanding of
biological mechanisms in the basic sciences as well as assessment, diagnosis
and therapeutic intervention in clinical trials and animal and human medicine.
The universal application and use of imaging raises an important question and
opportunity: what is the value and ultimate destination of biological and
medical imaging data? In the last few years, several informatics and data
science technologies have matured sufficiently so that routine publication of
these datasets is now possible. Participants in Global BioImaging from 15
countries and all populated continents have agreed on the need for
recommendations and guidelines for the establishment of image data repositories
and the formats they use for delivering data to the global scientific
community. This white paper presents a shared, global view of criteria for
these common, globally applicable guidelines and provisional proposals for open
tools and resources that are available now and can provide a foundation for
future development.</description><identifier>DOI: 10.48550/arxiv.2010.10107</identifier><language>eng</language><subject>Quantitative Biology - Other</subject><creationdate>2020-10</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2010.10107$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2010.10107$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Swedlow, Jason R</creatorcontrib><creatorcontrib>Kankaanpää, Pasi</creatorcontrib><creatorcontrib>Sarkans, Ugis</creatorcontrib><creatorcontrib>Goscinski, Wojtek</creatorcontrib><creatorcontrib>Galloway, Graham</creatorcontrib><creatorcontrib>Sullivan, Ryan P</creatorcontrib><creatorcontrib>Brown, Claire M</creatorcontrib><creatorcontrib>Wood, Chris</creatorcontrib><creatorcontrib>Keppler, Antje</creatorcontrib><creatorcontrib>Loos, Ben</creatorcontrib><creatorcontrib>Zullino, Sara</creatorcontrib><creatorcontrib>Longo, Dario Livio</creatorcontrib><creatorcontrib>Aime, Silvio</creatorcontrib><creatorcontrib>Onami, Shuichi</creatorcontrib><title>A Global View of Standards for Open Image Data Formats and Repositories</title><description>Biological and biomedical imaging datasets record the constitution,
architecture and dynamics of living organisms across several orders of
magnitude of space and time. Imaging technologies are now used throughout the
life and biomedical sciences to achieve discovery and understanding of
biological mechanisms in the basic sciences as well as assessment, diagnosis
and therapeutic intervention in clinical trials and animal and human medicine.
The universal application and use of imaging raises an important question and
opportunity: what is the value and ultimate destination of biological and
medical imaging data? In the last few years, several informatics and data
science technologies have matured sufficiently so that routine publication of
these datasets is now possible. Participants in Global BioImaging from 15
countries and all populated continents have agreed on the need for
recommendations and guidelines for the establishment of image data repositories
and the formats they use for delivering data to the global scientific
community. This white paper presents a shared, global view of criteria for
these common, globally applicable guidelines and provisional proposals for open
tools and resources that are available now and can provide a foundation for
future development.</description><subject>Quantitative Biology - Other</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81Kw0AUhWfjQqoP4Mr7AqnzP82yVBsLhYIWt-Gmc0cGkk6YCf68vbG6-Q4cDgc-xu4EX-qVMfwB81f8WEo-F2KGu2bNGpo-ddjDW6RPSAFeJzx7zL5ASBkOI51hN-A7wSNOCNuUB5wKzBt4oTGVOKUcqdywq4B9odv_XLDj9um4ea72h2a3We8rtM5VtcUToeK-4wo7rYS1XHkjJRnkSvhOGlkHpwMZd9JOWHLa1TNr7bhaoVqw-7_bi0k75jhg_m5_jdqLkfoBN21EPA</recordid><startdate>20201020</startdate><enddate>20201020</enddate><creator>Swedlow, Jason R</creator><creator>Kankaanpää, Pasi</creator><creator>Sarkans, Ugis</creator><creator>Goscinski, Wojtek</creator><creator>Galloway, Graham</creator><creator>Sullivan, Ryan P</creator><creator>Brown, Claire M</creator><creator>Wood, Chris</creator><creator>Keppler, Antje</creator><creator>Loos, Ben</creator><creator>Zullino, Sara</creator><creator>Longo, Dario Livio</creator><creator>Aime, Silvio</creator><creator>Onami, Shuichi</creator><scope>ALC</scope><scope>GOX</scope></search><sort><creationdate>20201020</creationdate><title>A Global View of Standards for Open Image Data Formats and Repositories</title><author>Swedlow, Jason R ; Kankaanpää, Pasi ; Sarkans, Ugis ; Goscinski, Wojtek ; Galloway, Graham ; Sullivan, Ryan P ; Brown, Claire M ; Wood, Chris ; Keppler, Antje ; Loos, Ben ; Zullino, Sara ; Longo, Dario Livio ; Aime, Silvio ; Onami, Shuichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-96acea30db03ab4316603d522e5a031db2529f74fe57c4716e74796e7947038a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Quantitative Biology - Other</topic><toplevel>online_resources</toplevel><creatorcontrib>Swedlow, Jason R</creatorcontrib><creatorcontrib>Kankaanpää, Pasi</creatorcontrib><creatorcontrib>Sarkans, Ugis</creatorcontrib><creatorcontrib>Goscinski, Wojtek</creatorcontrib><creatorcontrib>Galloway, Graham</creatorcontrib><creatorcontrib>Sullivan, Ryan P</creatorcontrib><creatorcontrib>Brown, Claire M</creatorcontrib><creatorcontrib>Wood, Chris</creatorcontrib><creatorcontrib>Keppler, Antje</creatorcontrib><creatorcontrib>Loos, Ben</creatorcontrib><creatorcontrib>Zullino, Sara</creatorcontrib><creatorcontrib>Longo, Dario Livio</creatorcontrib><creatorcontrib>Aime, Silvio</creatorcontrib><creatorcontrib>Onami, Shuichi</creatorcontrib><collection>arXiv Quantitative Biology</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Swedlow, Jason R</au><au>Kankaanpää, Pasi</au><au>Sarkans, Ugis</au><au>Goscinski, Wojtek</au><au>Galloway, Graham</au><au>Sullivan, Ryan P</au><au>Brown, Claire M</au><au>Wood, Chris</au><au>Keppler, Antje</au><au>Loos, Ben</au><au>Zullino, Sara</au><au>Longo, Dario Livio</au><au>Aime, Silvio</au><au>Onami, Shuichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Global View of Standards for Open Image Data Formats and Repositories</atitle><date>2020-10-20</date><risdate>2020</risdate><abstract>Biological and biomedical imaging datasets record the constitution,
architecture and dynamics of living organisms across several orders of
magnitude of space and time. Imaging technologies are now used throughout the
life and biomedical sciences to achieve discovery and understanding of
biological mechanisms in the basic sciences as well as assessment, diagnosis
and therapeutic intervention in clinical trials and animal and human medicine.
The universal application and use of imaging raises an important question and
opportunity: what is the value and ultimate destination of biological and
medical imaging data? In the last few years, several informatics and data
science technologies have matured sufficiently so that routine publication of
these datasets is now possible. Participants in Global BioImaging from 15
countries and all populated continents have agreed on the need for
recommendations and guidelines for the establishment of image data repositories
and the formats they use for delivering data to the global scientific
community. This white paper presents a shared, global view of criteria for
these common, globally applicable guidelines and provisional proposals for open
tools and resources that are available now and can provide a foundation for
future development.</abstract><doi>10.48550/arxiv.2010.10107</doi><oa>free_for_read</oa></addata></record> |
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subjects | Quantitative Biology - Other |
title | A Global View of Standards for Open Image Data Formats and Repositories |
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