NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments
Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format...
Gespeichert in:
Veröffentlicht in: | eNeuro 2022-01, Vol.9 (1), p.ENEURO.0073-21.2022 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | ENEURO.0073-21.2022 |
container_title | eNeuro |
container_volume | 9 |
creator | García Murillo, Daniel Zhao, Yixin Rogovin, Ora S Zhang, Kelly Hu, Andrew W Kim, Mo Re Chen, Shufei Wang, Ziqi Keeley, Zoey C Shin, Daniel I Suárez Casanova, Victor M Zhu, Yannan Martin, Lisandro Papaemmanouil, Olga Van Hooser, Stephen D |
description | Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format of the raw data or the manner in which the data are organized into files. The interface is rooted in a simple vocabulary that describes common apparatus and storage devices used in neuroscience experiments. Results of analyses, and analyses of analyses, are stored as documents in a scalable, queryable database that stores the relationships and history among the experiment elements and documents. The interface allows the development of an application ecosystem where applications can focus on calculation rather than data format or organization. This tool can be used by individual labs to exchange and analyze data, and it can serve to curate neuroscience data for searchable archives. |
doi_str_mv | 10.1523/ENEURO.0073-21.2022 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8874953</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2622657258</sourcerecordid><originalsourceid>FETCH-LOGICAL-c355t-cf1ffca3eed80f914959e0df0e258ca3e9bb65b31a893171bd59337b01134d4d3</originalsourceid><addsrcrecordid>eNpVUV1PwjAUbYxGCPILTMwefRn2g7LNBxMCU5cQIEaem267HdN9uW5G_r0dIMGXtvfec8856UHoluAR4ZQ9-Et_87YaYewwm5IRxZReoD5lXelSenn27qGh1h8YYzKhDnHJNeoxjp2xS50--lzOg0draq0z2aiyzu2giKECcxSNNZeNtIKigVrJCCxZxPtWKDVYBmwtoa1LHaVQmOl6u9NpmZXJbg8McpmkRWL5PxXUaW7o9A26UjLTMDzeA7R59t9nr_Zi9RLMpgs7Ypw3dqSIUpFkALGLlUfGHvcAxwoD5W7X98JwwkNGpOsx4pAw5h5jTogJYeN4HLMBejrwVm2YQxwZ7VpmojI2ZL0TpUzF_0mRbkVSfgvXdYwYMwT3R4K6_GpBNyJPdQRZJgsoWy3ohNIJd4wdA2UHaGR-QtegTjIEiy4pcUhKdEkJSkSXlNm6O3d42vnLhf0CSbqRBg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2622657258</pqid></control><display><type>article</type><title>NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>García Murillo, Daniel ; Zhao, Yixin ; Rogovin, Ora S ; Zhang, Kelly ; Hu, Andrew W ; Kim, Mo Re ; Chen, Shufei ; Wang, Ziqi ; Keeley, Zoey C ; Shin, Daniel I ; Suárez Casanova, Victor M ; Zhu, Yannan ; Martin, Lisandro ; Papaemmanouil, Olga ; Van Hooser, Stephen D</creator><creatorcontrib>García Murillo, Daniel ; Zhao, Yixin ; Rogovin, Ora S ; Zhang, Kelly ; Hu, Andrew W ; Kim, Mo Re ; Chen, Shufei ; Wang, Ziqi ; Keeley, Zoey C ; Shin, Daniel I ; Suárez Casanova, Victor M ; Zhu, Yannan ; Martin, Lisandro ; Papaemmanouil, Olga ; Van Hooser, Stephen D</creatorcontrib><description>Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format of the raw data or the manner in which the data are organized into files. The interface is rooted in a simple vocabulary that describes common apparatus and storage devices used in neuroscience experiments. Results of analyses, and analyses of analyses, are stored as documents in a scalable, queryable database that stores the relationships and history among the experiment elements and documents. The interface allows the development of an application ecosystem where applications can focus on calculation rather than data format or organization. This tool can be used by individual labs to exchange and analyze data, and it can serve to curate neuroscience data for searchable archives.</description><identifier>ISSN: 2373-2822</identifier><identifier>EISSN: 2373-2822</identifier><identifier>DOI: 10.1523/ENEURO.0073-21.2022</identifier><identifier>PMID: 35074827</identifier><language>eng</language><publisher>United States: Society for Neuroscience</publisher><subject>Ecosystem ; Information Storage and Retrieval ; Methods/New Tools ; Neurosciences ; Software ; Vocabulary</subject><ispartof>eNeuro, 2022-01, Vol.9 (1), p.ENEURO.0073-21.2022</ispartof><rights>Copyright © 2022 García Murillo et al.</rights><rights>Copyright © 2022 García Murillo et al. 2022 Murillo et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c355t-cf1ffca3eed80f914959e0df0e258ca3e9bb65b31a893171bd59337b01134d4d3</cites><orcidid>0000-0002-1112-5832</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874953/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874953/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35074827$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>García Murillo, Daniel</creatorcontrib><creatorcontrib>Zhao, Yixin</creatorcontrib><creatorcontrib>Rogovin, Ora S</creatorcontrib><creatorcontrib>Zhang, Kelly</creatorcontrib><creatorcontrib>Hu, Andrew W</creatorcontrib><creatorcontrib>Kim, Mo Re</creatorcontrib><creatorcontrib>Chen, Shufei</creatorcontrib><creatorcontrib>Wang, Ziqi</creatorcontrib><creatorcontrib>Keeley, Zoey C</creatorcontrib><creatorcontrib>Shin, Daniel I</creatorcontrib><creatorcontrib>Suárez Casanova, Victor M</creatorcontrib><creatorcontrib>Zhu, Yannan</creatorcontrib><creatorcontrib>Martin, Lisandro</creatorcontrib><creatorcontrib>Papaemmanouil, Olga</creatorcontrib><creatorcontrib>Van Hooser, Stephen D</creatorcontrib><title>NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments</title><title>eNeuro</title><addtitle>eNeuro</addtitle><description>Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format of the raw data or the manner in which the data are organized into files. The interface is rooted in a simple vocabulary that describes common apparatus and storage devices used in neuroscience experiments. Results of analyses, and analyses of analyses, are stored as documents in a scalable, queryable database that stores the relationships and history among the experiment elements and documents. The interface allows the development of an application ecosystem where applications can focus on calculation rather than data format or organization. This tool can be used by individual labs to exchange and analyze data, and it can serve to curate neuroscience data for searchable archives.</description><subject>Ecosystem</subject><subject>Information Storage and Retrieval</subject><subject>Methods/New Tools</subject><subject>Neurosciences</subject><subject>Software</subject><subject>Vocabulary</subject><issn>2373-2822</issn><issn>2373-2822</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUV1PwjAUbYxGCPILTMwefRn2g7LNBxMCU5cQIEaem267HdN9uW5G_r0dIMGXtvfec8856UHoluAR4ZQ9-Et_87YaYewwm5IRxZReoD5lXelSenn27qGh1h8YYzKhDnHJNeoxjp2xS50--lzOg0draq0z2aiyzu2giKECcxSNNZeNtIKigVrJCCxZxPtWKDVYBmwtoa1LHaVQmOl6u9NpmZXJbg8McpmkRWL5PxXUaW7o9A26UjLTMDzeA7R59t9nr_Zi9RLMpgs7Ypw3dqSIUpFkALGLlUfGHvcAxwoD5W7X98JwwkNGpOsx4pAw5h5jTogJYeN4HLMBejrwVm2YQxwZ7VpmojI2ZL0TpUzF_0mRbkVSfgvXdYwYMwT3R4K6_GpBNyJPdQRZJgsoWy3ohNIJd4wdA2UHaGR-QtegTjIEiy4pcUhKdEkJSkSXlNm6O3d42vnLhf0CSbqRBg</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>García Murillo, Daniel</creator><creator>Zhao, Yixin</creator><creator>Rogovin, Ora S</creator><creator>Zhang, Kelly</creator><creator>Hu, Andrew W</creator><creator>Kim, Mo Re</creator><creator>Chen, Shufei</creator><creator>Wang, Ziqi</creator><creator>Keeley, Zoey C</creator><creator>Shin, Daniel I</creator><creator>Suárez Casanova, Victor M</creator><creator>Zhu, Yannan</creator><creator>Martin, Lisandro</creator><creator>Papaemmanouil, Olga</creator><creator>Van Hooser, Stephen D</creator><general>Society for Neuroscience</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1112-5832</orcidid></search><sort><creationdate>20220101</creationdate><title>NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments</title><author>García Murillo, Daniel ; Zhao, Yixin ; Rogovin, Ora S ; Zhang, Kelly ; Hu, Andrew W ; Kim, Mo Re ; Chen, Shufei ; Wang, Ziqi ; Keeley, Zoey C ; Shin, Daniel I ; Suárez Casanova, Victor M ; Zhu, Yannan ; Martin, Lisandro ; Papaemmanouil, Olga ; Van Hooser, Stephen D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c355t-cf1ffca3eed80f914959e0df0e258ca3e9bb65b31a893171bd59337b01134d4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Ecosystem</topic><topic>Information Storage and Retrieval</topic><topic>Methods/New Tools</topic><topic>Neurosciences</topic><topic>Software</topic><topic>Vocabulary</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>García Murillo, Daniel</creatorcontrib><creatorcontrib>Zhao, Yixin</creatorcontrib><creatorcontrib>Rogovin, Ora S</creatorcontrib><creatorcontrib>Zhang, Kelly</creatorcontrib><creatorcontrib>Hu, Andrew W</creatorcontrib><creatorcontrib>Kim, Mo Re</creatorcontrib><creatorcontrib>Chen, Shufei</creatorcontrib><creatorcontrib>Wang, Ziqi</creatorcontrib><creatorcontrib>Keeley, Zoey C</creatorcontrib><creatorcontrib>Shin, Daniel I</creatorcontrib><creatorcontrib>Suárez Casanova, Victor M</creatorcontrib><creatorcontrib>Zhu, Yannan</creatorcontrib><creatorcontrib>Martin, Lisandro</creatorcontrib><creatorcontrib>Papaemmanouil, Olga</creatorcontrib><creatorcontrib>Van Hooser, Stephen D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>eNeuro</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>García Murillo, Daniel</au><au>Zhao, Yixin</au><au>Rogovin, Ora S</au><au>Zhang, Kelly</au><au>Hu, Andrew W</au><au>Kim, Mo Re</au><au>Chen, Shufei</au><au>Wang, Ziqi</au><au>Keeley, Zoey C</au><au>Shin, Daniel I</au><au>Suárez Casanova, Victor M</au><au>Zhu, Yannan</au><au>Martin, Lisandro</au><au>Papaemmanouil, Olga</au><au>Van Hooser, Stephen D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments</atitle><jtitle>eNeuro</jtitle><addtitle>eNeuro</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>9</volume><issue>1</issue><spage>ENEURO.0073-21.2022</spage><pages>ENEURO.0073-21.2022-</pages><issn>2373-2822</issn><eissn>2373-2822</eissn><abstract>Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format of the raw data or the manner in which the data are organized into files. The interface is rooted in a simple vocabulary that describes common apparatus and storage devices used in neuroscience experiments. Results of analyses, and analyses of analyses, are stored as documents in a scalable, queryable database that stores the relationships and history among the experiment elements and documents. The interface allows the development of an application ecosystem where applications can focus on calculation rather than data format or organization. This tool can be used by individual labs to exchange and analyze data, and it can serve to curate neuroscience data for searchable archives.</abstract><cop>United States</cop><pub>Society for Neuroscience</pub><pmid>35074827</pmid><doi>10.1523/ENEURO.0073-21.2022</doi><orcidid>https://orcid.org/0000-0002-1112-5832</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2373-2822 |
ispartof | eNeuro, 2022-01, Vol.9 (1), p.ENEURO.0073-21.2022 |
issn | 2373-2822 2373-2822 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8874953 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Ecosystem Information Storage and Retrieval Methods/New Tools Neurosciences Software Vocabulary |
title | NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T07%3A54%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=NDI:%20A%20Platform-Independent%20Data%20Interface%20and%20Database%20for%20Neuroscience%20Physiology%20and%20Imaging%20Experiments&rft.jtitle=eNeuro&rft.au=Garc%C3%ADa%20Murillo,%20Daniel&rft.date=2022-01-01&rft.volume=9&rft.issue=1&rft.spage=ENEURO.0073-21.2022&rft.pages=ENEURO.0073-21.2022-&rft.issn=2373-2822&rft.eissn=2373-2822&rft_id=info:doi/10.1523/ENEURO.0073-21.2022&rft_dat=%3Cproquest_pubme%3E2622657258%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2622657258&rft_id=info:pmid/35074827&rfr_iscdi=true |