Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"

The Public Health Alliance for Genomic Epidemiology (PHA4GE) (https://pha4ge.org) is a global coalition that is actively working to establish consensus standards, document and share best practices, improve the availability of critical bioinformatics tools and resources, and advocate for greater open...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Emma, Griffiths, Ruth, Timme E, Catarina, Mendes Inês, Andrew, Page J, Nabil-Fareed, Alikhan, Dan, Fornika, Finlay, Maguire, Josefina, Campos, Daniel, Park J., Idowu, Olawoye B, Paul, Oluniyi E, Dominique, Anderson, Alan, Christoffels, Da Silva Gonçalves Anders, Rhiannon, Cameron, Damion, Dooley, Lee, Katz S, Allison, Black, Ilene, Karsch-Mizrachi, Tanya, Barrett, Anjanette, Johnston, Thomas, Connor R, Samuel, Nicholls M, Adam, Witney A, Gregory, Tyson H, Simon, Tausch H, Amogelang, Raphenya R, Alcock Brian, David, Aanensen M, Emma, Hodcroft, William, Hsiao WL, Ana, R Vasconcelos Tereza, Duncan, MacCannell R
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Emma, Griffiths
Ruth, Timme E
Catarina, Mendes Inês
Andrew, Page J
Nabil-Fareed, Alikhan
Dan, Fornika
Finlay, Maguire
Josefina, Campos
Daniel, Park J.
Idowu, Olawoye B
Paul, Oluniyi E
Dominique, Anderson
Alan, Christoffels
Da Silva Gonçalves Anders
Rhiannon, Cameron
Damion, Dooley
Lee, Katz S
Allison, Black
Ilene, Karsch-Mizrachi
Tanya, Barrett
Anjanette, Johnston
Thomas, Connor R
Samuel, Nicholls M
Adam, Witney A
Gregory, Tyson H
Simon, Tausch H
Amogelang, Raphenya R
Alcock Brian
David, Aanensen M
Emma, Hodcroft
William, Hsiao WL
Ana, R Vasconcelos Tereza
Duncan, MacCannell R
description The Public Health Alliance for Genomic Epidemiology (PHA4GE) (https://pha4ge.org) is a global coalition that is actively working to establish consensus standards, document and share best practices, improve the availability of critical bioinformatics tools and resources, and advocate for greater openness, interoperability, accessibility and reproducibility in public health microbial bioinformatics. In the face of the current pandemic, PHA4GE has identified a need for a fit-for-purpose, open-source SARS-CoV-2 contextual data standard. As such, we have developed a SARS-CoV-2 contextual data specification package based on harmonisable, publicly available community standards. The specification can be implemented via a collection template, as well as an array of protocols and tools to support both the harmonisation and submission of sequence data and contextual information to public biorepositories. Well-structured, rich contextual data adds value, promotes reuse, and enables aggregation and integration of disparate data sets. Adoption of the proposed standard and practices will better enable interoperability between datasets and systems, improve the consistency and utility of generated data, and ultimately facilitate novel insights and discoveries in SARS-CoV-2 and COVID-19. The package is now supported by the National Center for Biotechnology (NCBI)'s BioSample database.
doi_str_mv 10.5524/100977
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_5524_100977</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_5524_100977</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_5524_1009773</originalsourceid><addsrcrecordid>eNqNj80KwjAQhHPxIP48w-LBW7XVFtGbiD9HscVrWWKii20T4gbUN_CtNegDeBqGb4ZhhOgn8SjLJuk4ieP5bNYWr9xbaxxTc4YTMoI2DgYbz96pyDpjdCDYnKDGO9X0DJYvCjxTRfwAo6FWjKG7gOID9rtlul1Dvjzk0cocowlI07C6s8fqO3GzSpImiUymAYvyimc16IqWxuqmej_tiOFmXax2UehIYlVaRzW6R5nEZfhQfj9M_w6-AeV0UPw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"</title><source>DataCite</source><creator>Emma, Griffiths ; Ruth, Timme E ; Catarina, Mendes Inês ; Andrew, Page J ; Nabil-Fareed, Alikhan ; Dan, Fornika ; Finlay, Maguire ; Josefina, Campos ; Daniel, Park J. ; Idowu, Olawoye B ; Paul, Oluniyi E ; Dominique, Anderson ; Alan, Christoffels ; Da Silva Gonçalves Anders ; Rhiannon, Cameron ; Damion, Dooley ; Lee, Katz S ; Allison, Black ; Ilene, Karsch-Mizrachi ; Tanya, Barrett ; Anjanette, Johnston ; Thomas, Connor R ; Samuel, Nicholls M ; Adam, Witney A ; Gregory, Tyson H ; Simon, Tausch H ; Amogelang, Raphenya R ; Alcock Brian ; David, Aanensen M ; Emma, Hodcroft ; William, Hsiao WL ; Ana, R Vasconcelos Tereza ; Duncan, MacCannell R</creator><creatorcontrib>Emma, Griffiths ; Ruth, Timme E ; Catarina, Mendes Inês ; Andrew, Page J ; Nabil-Fareed, Alikhan ; Dan, Fornika ; Finlay, Maguire ; Josefina, Campos ; Daniel, Park J. ; Idowu, Olawoye B ; Paul, Oluniyi E ; Dominique, Anderson ; Alan, Christoffels ; Da Silva Gonçalves Anders ; Rhiannon, Cameron ; Damion, Dooley ; Lee, Katz S ; Allison, Black ; Ilene, Karsch-Mizrachi ; Tanya, Barrett ; Anjanette, Johnston ; Thomas, Connor R ; Samuel, Nicholls M ; Adam, Witney A ; Gregory, Tyson H ; Simon, Tausch H ; Amogelang, Raphenya R ; Alcock Brian ; David, Aanensen M ; Emma, Hodcroft ; William, Hsiao WL ; Ana, R Vasconcelos Tereza ; Duncan, MacCannell R</creatorcontrib><description>The Public Health Alliance for Genomic Epidemiology (PHA4GE) (https://pha4ge.org) is a global coalition that is actively working to establish consensus standards, document and share best practices, improve the availability of critical bioinformatics tools and resources, and advocate for greater openness, interoperability, accessibility and reproducibility in public health microbial bioinformatics. In the face of the current pandemic, PHA4GE has identified a need for a fit-for-purpose, open-source SARS-CoV-2 contextual data standard. As such, we have developed a SARS-CoV-2 contextual data specification package based on harmonisable, publicly available community standards. The specification can be implemented via a collection template, as well as an array of protocols and tools to support both the harmonisation and submission of sequence data and contextual information to public biorepositories. Well-structured, rich contextual data adds value, promotes reuse, and enables aggregation and integration of disparate data sets. Adoption of the proposed standard and practices will better enable interoperability between datasets and systems, improve the consistency and utility of generated data, and ultimately facilitate novel insights and discoveries in SARS-CoV-2 and COVID-19. The package is now supported by the National Center for Biotechnology (NCBI)'s BioSample database.</description><identifier>DOI: 10.5524/100977</identifier><language>eng</language><publisher>GigaScience Database</publisher><subject>bioinformatics ; data standards ; Genomic ; genomics ; Metadata ; sars-cov-2 ; Software</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-9448-8064 ; 0000-0002-6178-3585 ; 0000-0002-9578-0788 ; 0000-0002-4337-8009 ; 0000-0002-3090-7426 ; 0000-0001-9259-5280 ; 0000-0002-0078-2212 ; 0000-0002-6658-9917 ; 0000-0002-2651-2149 ; 0000-0002-6874-233X ; 0000-0001-6919-6062 ; 0000-0002-2257-8781 ; 0000-0002-8869-1840 ; 0000-0002-9705-5897 ; 0000-0003-4081-065X ; 0000-0002-1107-9135 ; 0000-0001-7226-7781 ; 0000-0002-1203-9514 ; 0000-0003-4561-7170 ; 0000-0003-2394-6504 ; 0000-0002-2533-9161 ; 0000-0002-4632-2086 ; 0000-0003-1409-0441 ; 0000-0002-2729-5035 ; 0000-0002-1342-4043 ; 0000-0002-0289-7101 ; 0000-0002-1243-0767 ; 0000-0001-6688-0854 ; 0000-0002-0420-2916 ; 0000-0002-8844-9165 ; 0000-0002-6618-4127</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5524/100977$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Emma, Griffiths</creatorcontrib><creatorcontrib>Ruth, Timme E</creatorcontrib><creatorcontrib>Catarina, Mendes Inês</creatorcontrib><creatorcontrib>Andrew, Page J</creatorcontrib><creatorcontrib>Nabil-Fareed, Alikhan</creatorcontrib><creatorcontrib>Dan, Fornika</creatorcontrib><creatorcontrib>Finlay, Maguire</creatorcontrib><creatorcontrib>Josefina, Campos</creatorcontrib><creatorcontrib>Daniel, Park J.</creatorcontrib><creatorcontrib>Idowu, Olawoye B</creatorcontrib><creatorcontrib>Paul, Oluniyi E</creatorcontrib><creatorcontrib>Dominique, Anderson</creatorcontrib><creatorcontrib>Alan, Christoffels</creatorcontrib><creatorcontrib>Da Silva Gonçalves Anders</creatorcontrib><creatorcontrib>Rhiannon, Cameron</creatorcontrib><creatorcontrib>Damion, Dooley</creatorcontrib><creatorcontrib>Lee, Katz S</creatorcontrib><creatorcontrib>Allison, Black</creatorcontrib><creatorcontrib>Ilene, Karsch-Mizrachi</creatorcontrib><creatorcontrib>Tanya, Barrett</creatorcontrib><creatorcontrib>Anjanette, Johnston</creatorcontrib><creatorcontrib>Thomas, Connor R</creatorcontrib><creatorcontrib>Samuel, Nicholls M</creatorcontrib><creatorcontrib>Adam, Witney A</creatorcontrib><creatorcontrib>Gregory, Tyson H</creatorcontrib><creatorcontrib>Simon, Tausch H</creatorcontrib><creatorcontrib>Amogelang, Raphenya R</creatorcontrib><creatorcontrib>Alcock Brian</creatorcontrib><creatorcontrib>David, Aanensen M</creatorcontrib><creatorcontrib>Emma, Hodcroft</creatorcontrib><creatorcontrib>William, Hsiao WL</creatorcontrib><creatorcontrib>Ana, R Vasconcelos Tereza</creatorcontrib><creatorcontrib>Duncan, MacCannell R</creatorcontrib><title>Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"</title><description>The Public Health Alliance for Genomic Epidemiology (PHA4GE) (https://pha4ge.org) is a global coalition that is actively working to establish consensus standards, document and share best practices, improve the availability of critical bioinformatics tools and resources, and advocate for greater openness, interoperability, accessibility and reproducibility in public health microbial bioinformatics. In the face of the current pandemic, PHA4GE has identified a need for a fit-for-purpose, open-source SARS-CoV-2 contextual data standard. As such, we have developed a SARS-CoV-2 contextual data specification package based on harmonisable, publicly available community standards. The specification can be implemented via a collection template, as well as an array of protocols and tools to support both the harmonisation and submission of sequence data and contextual information to public biorepositories. Well-structured, rich contextual data adds value, promotes reuse, and enables aggregation and integration of disparate data sets. Adoption of the proposed standard and practices will better enable interoperability between datasets and systems, improve the consistency and utility of generated data, and ultimately facilitate novel insights and discoveries in SARS-CoV-2 and COVID-19. The package is now supported by the National Center for Biotechnology (NCBI)'s BioSample database.</description><subject>bioinformatics</subject><subject>data standards</subject><subject>Genomic</subject><subject>genomics</subject><subject>Metadata</subject><subject>sars-cov-2</subject><subject>Software</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqNj80KwjAQhHPxIP48w-LBW7XVFtGbiD9HscVrWWKii20T4gbUN_CtNegDeBqGb4ZhhOgn8SjLJuk4ieP5bNYWr9xbaxxTc4YTMoI2DgYbz96pyDpjdCDYnKDGO9X0DJYvCjxTRfwAo6FWjKG7gOID9rtlul1Dvjzk0cocowlI07C6s8fqO3GzSpImiUymAYvyimc16IqWxuqmej_tiOFmXax2UehIYlVaRzW6R5nEZfhQfj9M_w6-AeV0UPw</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Emma, Griffiths</creator><creator>Ruth, Timme E</creator><creator>Catarina, Mendes Inês</creator><creator>Andrew, Page J</creator><creator>Nabil-Fareed, Alikhan</creator><creator>Dan, Fornika</creator><creator>Finlay, Maguire</creator><creator>Josefina, Campos</creator><creator>Daniel, Park J.</creator><creator>Idowu, Olawoye B</creator><creator>Paul, Oluniyi E</creator><creator>Dominique, Anderson</creator><creator>Alan, Christoffels</creator><creator>Da Silva Gonçalves Anders</creator><creator>Rhiannon, Cameron</creator><creator>Damion, Dooley</creator><creator>Lee, Katz S</creator><creator>Allison, Black</creator><creator>Ilene, Karsch-Mizrachi</creator><creator>Tanya, Barrett</creator><creator>Anjanette, Johnston</creator><creator>Thomas, Connor R</creator><creator>Samuel, Nicholls M</creator><creator>Adam, Witney A</creator><creator>Gregory, Tyson H</creator><creator>Simon, Tausch H</creator><creator>Amogelang, Raphenya R</creator><creator>Alcock Brian</creator><creator>David, Aanensen M</creator><creator>Emma, Hodcroft</creator><creator>William, Hsiao WL</creator><creator>Ana, R Vasconcelos Tereza</creator><creator>Duncan, MacCannell R</creator><general>GigaScience Database</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-9448-8064</orcidid><orcidid>https://orcid.org/0000-0002-6178-3585</orcidid><orcidid>https://orcid.org/0000-0002-9578-0788</orcidid><orcidid>https://orcid.org/0000-0002-4337-8009</orcidid><orcidid>https://orcid.org/0000-0002-3090-7426</orcidid><orcidid>https://orcid.org/0000-0001-9259-5280</orcidid><orcidid>https://orcid.org/0000-0002-0078-2212</orcidid><orcidid>https://orcid.org/0000-0002-6658-9917</orcidid><orcidid>https://orcid.org/0000-0002-2651-2149</orcidid><orcidid>https://orcid.org/0000-0002-6874-233X</orcidid><orcidid>https://orcid.org/0000-0001-6919-6062</orcidid><orcidid>https://orcid.org/0000-0002-2257-8781</orcidid><orcidid>https://orcid.org/0000-0002-8869-1840</orcidid><orcidid>https://orcid.org/0000-0002-9705-5897</orcidid><orcidid>https://orcid.org/0000-0003-4081-065X</orcidid><orcidid>https://orcid.org/0000-0002-1107-9135</orcidid><orcidid>https://orcid.org/0000-0001-7226-7781</orcidid><orcidid>https://orcid.org/0000-0002-1203-9514</orcidid><orcidid>https://orcid.org/0000-0003-4561-7170</orcidid><orcidid>https://orcid.org/0000-0003-2394-6504</orcidid><orcidid>https://orcid.org/0000-0002-2533-9161</orcidid><orcidid>https://orcid.org/0000-0002-4632-2086</orcidid><orcidid>https://orcid.org/0000-0003-1409-0441</orcidid><orcidid>https://orcid.org/0000-0002-2729-5035</orcidid><orcidid>https://orcid.org/0000-0002-1342-4043</orcidid><orcidid>https://orcid.org/0000-0002-0289-7101</orcidid><orcidid>https://orcid.org/0000-0002-1243-0767</orcidid><orcidid>https://orcid.org/0000-0001-6688-0854</orcidid><orcidid>https://orcid.org/0000-0002-0420-2916</orcidid><orcidid>https://orcid.org/0000-0002-8844-9165</orcidid><orcidid>https://orcid.org/0000-0002-6618-4127</orcidid></search><sort><creationdate>2022</creationdate><title>Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"</title><author>Emma, Griffiths ; Ruth, Timme E ; Catarina, Mendes Inês ; Andrew, Page J ; Nabil-Fareed, Alikhan ; Dan, Fornika ; Finlay, Maguire ; Josefina, Campos ; Daniel, Park J. ; Idowu, Olawoye B ; Paul, Oluniyi E ; Dominique, Anderson ; Alan, Christoffels ; Da Silva Gonçalves Anders ; Rhiannon, Cameron ; Damion, Dooley ; Lee, Katz S ; Allison, Black ; Ilene, Karsch-Mizrachi ; Tanya, Barrett ; Anjanette, Johnston ; Thomas, Connor R ; Samuel, Nicholls M ; Adam, Witney A ; Gregory, Tyson H ; Simon, Tausch H ; Amogelang, Raphenya R ; Alcock Brian ; David, Aanensen M ; Emma, Hodcroft ; William, Hsiao WL ; Ana, R Vasconcelos Tereza ; Duncan, MacCannell R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_5524_1009773</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><topic>bioinformatics</topic><topic>data standards</topic><topic>Genomic</topic><topic>genomics</topic><topic>Metadata</topic><topic>sars-cov-2</topic><topic>Software</topic><toplevel>online_resources</toplevel><creatorcontrib>Emma, Griffiths</creatorcontrib><creatorcontrib>Ruth, Timme E</creatorcontrib><creatorcontrib>Catarina, Mendes Inês</creatorcontrib><creatorcontrib>Andrew, Page J</creatorcontrib><creatorcontrib>Nabil-Fareed, Alikhan</creatorcontrib><creatorcontrib>Dan, Fornika</creatorcontrib><creatorcontrib>Finlay, Maguire</creatorcontrib><creatorcontrib>Josefina, Campos</creatorcontrib><creatorcontrib>Daniel, Park J.</creatorcontrib><creatorcontrib>Idowu, Olawoye B</creatorcontrib><creatorcontrib>Paul, Oluniyi E</creatorcontrib><creatorcontrib>Dominique, Anderson</creatorcontrib><creatorcontrib>Alan, Christoffels</creatorcontrib><creatorcontrib>Da Silva Gonçalves Anders</creatorcontrib><creatorcontrib>Rhiannon, Cameron</creatorcontrib><creatorcontrib>Damion, Dooley</creatorcontrib><creatorcontrib>Lee, Katz S</creatorcontrib><creatorcontrib>Allison, Black</creatorcontrib><creatorcontrib>Ilene, Karsch-Mizrachi</creatorcontrib><creatorcontrib>Tanya, Barrett</creatorcontrib><creatorcontrib>Anjanette, Johnston</creatorcontrib><creatorcontrib>Thomas, Connor R</creatorcontrib><creatorcontrib>Samuel, Nicholls M</creatorcontrib><creatorcontrib>Adam, Witney A</creatorcontrib><creatorcontrib>Gregory, Tyson H</creatorcontrib><creatorcontrib>Simon, Tausch H</creatorcontrib><creatorcontrib>Amogelang, Raphenya R</creatorcontrib><creatorcontrib>Alcock Brian</creatorcontrib><creatorcontrib>David, Aanensen M</creatorcontrib><creatorcontrib>Emma, Hodcroft</creatorcontrib><creatorcontrib>William, Hsiao WL</creatorcontrib><creatorcontrib>Ana, R Vasconcelos Tereza</creatorcontrib><creatorcontrib>Duncan, MacCannell R</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Emma, Griffiths</au><au>Ruth, Timme E</au><au>Catarina, Mendes Inês</au><au>Andrew, Page J</au><au>Nabil-Fareed, Alikhan</au><au>Dan, Fornika</au><au>Finlay, Maguire</au><au>Josefina, Campos</au><au>Daniel, Park J.</au><au>Idowu, Olawoye B</au><au>Paul, Oluniyi E</au><au>Dominique, Anderson</au><au>Alan, Christoffels</au><au>Da Silva Gonçalves Anders</au><au>Rhiannon, Cameron</au><au>Damion, Dooley</au><au>Lee, Katz S</au><au>Allison, Black</au><au>Ilene, Karsch-Mizrachi</au><au>Tanya, Barrett</au><au>Anjanette, Johnston</au><au>Thomas, Connor R</au><au>Samuel, Nicholls M</au><au>Adam, Witney A</au><au>Gregory, Tyson H</au><au>Simon, Tausch H</au><au>Amogelang, Raphenya R</au><au>Alcock Brian</au><au>David, Aanensen M</au><au>Emma, Hodcroft</au><au>William, Hsiao WL</au><au>Ana, R Vasconcelos Tereza</au><au>Duncan, MacCannell R</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"</title><date>2022</date><risdate>2022</risdate><abstract>The Public Health Alliance for Genomic Epidemiology (PHA4GE) (https://pha4ge.org) is a global coalition that is actively working to establish consensus standards, document and share best practices, improve the availability of critical bioinformatics tools and resources, and advocate for greater openness, interoperability, accessibility and reproducibility in public health microbial bioinformatics. In the face of the current pandemic, PHA4GE has identified a need for a fit-for-purpose, open-source SARS-CoV-2 contextual data standard. As such, we have developed a SARS-CoV-2 contextual data specification package based on harmonisable, publicly available community standards. The specification can be implemented via a collection template, as well as an array of protocols and tools to support both the harmonisation and submission of sequence data and contextual information to public biorepositories. Well-structured, rich contextual data adds value, promotes reuse, and enables aggregation and integration of disparate data sets. Adoption of the proposed standard and practices will better enable interoperability between datasets and systems, improve the consistency and utility of generated data, and ultimately facilitate novel insights and discoveries in SARS-CoV-2 and COVID-19. The package is now supported by the National Center for Biotechnology (NCBI)'s BioSample database.</abstract><pub>GigaScience Database</pub><doi>10.5524/100977</doi><orcidid>https://orcid.org/0000-0002-9448-8064</orcidid><orcidid>https://orcid.org/0000-0002-6178-3585</orcidid><orcidid>https://orcid.org/0000-0002-9578-0788</orcidid><orcidid>https://orcid.org/0000-0002-4337-8009</orcidid><orcidid>https://orcid.org/0000-0002-3090-7426</orcidid><orcidid>https://orcid.org/0000-0001-9259-5280</orcidid><orcidid>https://orcid.org/0000-0002-0078-2212</orcidid><orcidid>https://orcid.org/0000-0002-6658-9917</orcidid><orcidid>https://orcid.org/0000-0002-2651-2149</orcidid><orcidid>https://orcid.org/0000-0002-6874-233X</orcidid><orcidid>https://orcid.org/0000-0001-6919-6062</orcidid><orcidid>https://orcid.org/0000-0002-2257-8781</orcidid><orcidid>https://orcid.org/0000-0002-8869-1840</orcidid><orcidid>https://orcid.org/0000-0002-9705-5897</orcidid><orcidid>https://orcid.org/0000-0003-4081-065X</orcidid><orcidid>https://orcid.org/0000-0002-1107-9135</orcidid><orcidid>https://orcid.org/0000-0001-7226-7781</orcidid><orcidid>https://orcid.org/0000-0002-1203-9514</orcidid><orcidid>https://orcid.org/0000-0003-4561-7170</orcidid><orcidid>https://orcid.org/0000-0003-2394-6504</orcidid><orcidid>https://orcid.org/0000-0002-2533-9161</orcidid><orcidid>https://orcid.org/0000-0002-4632-2086</orcidid><orcidid>https://orcid.org/0000-0003-1409-0441</orcidid><orcidid>https://orcid.org/0000-0002-2729-5035</orcidid><orcidid>https://orcid.org/0000-0002-1342-4043</orcidid><orcidid>https://orcid.org/0000-0002-0289-7101</orcidid><orcidid>https://orcid.org/0000-0002-1243-0767</orcidid><orcidid>https://orcid.org/0000-0001-6688-0854</orcidid><orcidid>https://orcid.org/0000-0002-0420-2916</orcidid><orcidid>https://orcid.org/0000-0002-8844-9165</orcidid><orcidid>https://orcid.org/0000-0002-6618-4127</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.5524/100977
ispartof
issn
language eng
recordid cdi_datacite_primary_10_5524_100977
source DataCite
subjects bioinformatics
data standards
Genomic
genomics
Metadata
sars-cov-2
Software
title Supporting data for "Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package"
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T10%3A36%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Emma,%20Griffiths&rft.date=2022&rft_id=info:doi/10.5524/100977&rft_dat=%3Cdatacite_PQ8%3E10_5524_100977%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true