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Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health

OBJECTIVE: In 2013, we released Project Tycho, an open-access database comprising 3.6 million counts of infectious disease cases and deaths reported for over a century by public health surveillance in the United States. Our objective is to describe how Project Tycho version 1 (v1) data has been used...

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Autores principales: van Panhuis, Willem G, Cross, Anne, Burke, Donald S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289551/
https://www.ncbi.nlm.nih.gov/pubmed/30321381
http://dx.doi.org/10.1093/jamia/ocy123
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author van Panhuis, Willem G
Cross, Anne
Burke, Donald S
author_facet van Panhuis, Willem G
Cross, Anne
Burke, Donald S
author_sort van Panhuis, Willem G
collection PubMed
description OBJECTIVE: In 2013, we released Project Tycho, an open-access database comprising 3.6 million counts of infectious disease cases and deaths reported for over a century by public health surveillance in the United States. Our objective is to describe how Project Tycho version 1 (v1) data has been used to create new knowledge and technology and to present improvements made in the newly released version 2.0 (v2). MATERIALS AND METHODS: We analyzed our user database and conducted online searches to analyze the use of Project Tycho v1 data. For v2, we added new US data and dengue data for other countries, and grouped data into 360 datasets, each with a digital object identifier and rich metadata. In addition, we used standard vocabularies to encode data where possible, improving compliance with FAIR (findable, accessible, interoperable, reusable) guiding principles for data management. RESULTS: Since release, 3174 people have registered to use Project Tycho data, leading to 18 new peer-reviewed papers and 27 other creative works, such as conference papers, student theses, and software applications. Project Tycho v2 comprises 5.7 million counts of infectious diseases in the United States and of dengue-related conditions in 98 additional countries. DISCUSSION: Project Tycho v2 contributes to improving FAIR compliance of global health data, but more work is needed to develop community-accepted standard representations for global health data. CONCLUSION: FAIR principles are a valuable guide for improving the integration and reuse of data in global health to improve disease control and save lives.
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spelling pubmed-62895512018-12-14 Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health van Panhuis, Willem G Cross, Anne Burke, Donald S J Am Med Inform Assoc Research and Applications OBJECTIVE: In 2013, we released Project Tycho, an open-access database comprising 3.6 million counts of infectious disease cases and deaths reported for over a century by public health surveillance in the United States. Our objective is to describe how Project Tycho version 1 (v1) data has been used to create new knowledge and technology and to present improvements made in the newly released version 2.0 (v2). MATERIALS AND METHODS: We analyzed our user database and conducted online searches to analyze the use of Project Tycho v1 data. For v2, we added new US data and dengue data for other countries, and grouped data into 360 datasets, each with a digital object identifier and rich metadata. In addition, we used standard vocabularies to encode data where possible, improving compliance with FAIR (findable, accessible, interoperable, reusable) guiding principles for data management. RESULTS: Since release, 3174 people have registered to use Project Tycho data, leading to 18 new peer-reviewed papers and 27 other creative works, such as conference papers, student theses, and software applications. Project Tycho v2 comprises 5.7 million counts of infectious diseases in the United States and of dengue-related conditions in 98 additional countries. DISCUSSION: Project Tycho v2 contributes to improving FAIR compliance of global health data, but more work is needed to develop community-accepted standard representations for global health data. CONCLUSION: FAIR principles are a valuable guide for improving the integration and reuse of data in global health to improve disease control and save lives. Oxford University Press 2018-10-15 /pmc/articles/PMC6289551/ /pubmed/30321381 http://dx.doi.org/10.1093/jamia/ocy123 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research and Applications
van Panhuis, Willem G
Cross, Anne
Burke, Donald S
Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title_full Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title_fullStr Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title_full_unstemmed Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title_short Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health
title_sort project tycho 2.0: a repository to improve the integration and reuse of data for global population health
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289551/
https://www.ncbi.nlm.nih.gov/pubmed/30321381
http://dx.doi.org/10.1093/jamia/ocy123
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