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Navigating data standards in public health: A brief report from a data-standards meeting.

作者信息

Hufstedler Heather, Roell Yannik, Peña Andressa, Krishnan Ankur, Green Ian, Barbosa-Silva Adriano, Kremer Andreas, Blacketer Clair, Fortier Isabel, Howard Kit, LeRoy Bess, Hafeza Eza, Baorto David, Swertz M, Maxwell Lauren, Jaenisch Thomas

机构信息

Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany.

Center for Global Health, Colorado School of Public Health, Aurora, Colorado, USA.

出版信息

J Glob Health. 2024 Apr 5;14:03024. doi: 10.7189/jogh.14.03024.

DOI:10.7189/jogh.14.03024
PMID:38577801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10995743/
Abstract
摘要

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Int J Epidemiol. 2018 Apr 1;47(2):654-668. doi: 10.1093/ije/dyx283.
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Maelstrom Research guidelines for rigorous retrospective data harmonization.大漩涡研究严格回顾性数据协调指南。
Int J Epidemiol. 2017 Feb 1;46(1):103-105. doi: 10.1093/ije/dyw075.
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The FAIR Guiding Principles for scientific data management and stewardship.科学数据管理和保存的 FAIR 指导原则。
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
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Data harmonization and federated analysis of population-based studies: the BioSHaRE project.基于人群研究的数据协调与联合分析：BioSHaRE项目。
Emerg Themes Epidemiol. 2013 Nov 21;10(1):12. doi: 10.1186/1742-7622-10-12.
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The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button.MOLGENIS 工具包：一键快速原型生物软件。
BMC Bioinformatics. 2010 Dec 21;11 Suppl 12(Suppl 12):S12. doi: 10.1186/1471-2105-11-S12-S12.
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Thinking big: large-scale collaborative research in observational epidemiology.高瞻远瞩：观察性流行病学中的大规模协作研究。
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