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本文引用的文献

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Public Involvement & Engagement in health inequalities research on COVID-19 pandemic: a case study of CIDACS/FIOCRUZ BAHIA.公众参与和参与 COVID-19 大流行健康不平等研究:CIDACS/FIOCRUZ 巴伊亚的案例研究。
Int J Popul Data Sci. 2023 Jun 6;5(4):2133. doi: 10.23889/ijpds.v5i3.2133. eCollection 2020.
2
Thirty-three myths and misconceptions about population data: from data capture and processing to linkage.关于人口数据的 33 个神话和误解:从数据采集和处理到关联。
Int J Popul Data Sci. 2023 Jan 31;8(1):2115. doi: 10.23889/ijpds.v8i1.2115. eCollection 2023.
3
Association of Conditional Cash Transfers With Maternal Mortality Using the 100 Million Brazilian Cohort.使用 1 亿巴西队列评估有条件现金转移与孕产妇死亡率的关系。
JAMA Netw Open. 2023 Feb 1;6(2):e230070. doi: 10.1001/jamanetworkopen.2023.0070.
4
Indigenous health in Brazil: from vulnerable to protagonists.巴西的本土健康:从弱势群体到倡导者。
Lancet. 2022 Dec 10;400(10368):2011-2014. doi: 10.1016/S0140-6736(22)02419-9.
5
Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South.将巴西和巴基斯坦的真实世界数据整合到 OMOP 通用数据模型和标准化健康分析框架中,以描述全球南方的 COVID-19 情况。
J Am Med Inform Assoc. 2023 Mar 16;30(4):643-655. doi: 10.1093/jamia/ocac180.
6
Ethnoracial inequalities and child mortality in Brazil: a nationwide longitudinal study of 19 million newborn babies.巴西的民族种族不平等与儿童死亡率:一项涉及 1900 万新生儿的全国性纵向研究。
Lancet Glob Health. 2022 Oct;10(10):e1453-e1462. doi: 10.1016/S2214-109X(22)00333-3.
7
What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.使行政数据“研究就绪”的因素是什么?已发表文献的系统回顾和主题分析。
Int J Popul Data Sci. 2022 Apr 27;7(1):1718. doi: 10.23889/ijpds.v6i1.1718. eCollection 2022.
8
Cohort Profile: The 100 Million Brazilian Cohort.队列简介:巴西一亿人队列。
Int J Epidemiol. 2022 May 9;51(2):e27-e38. doi: 10.1093/ije/dyab213.
9
Indigenous Data Governance: Strategies from United States Native Nations.本土数据治理:来自美国原住民部落的策略
Data Sci J. 2019;18. doi: 10.5334/dsj-2019-031.
10
Conditional cash transfer program and child mortality: A cross-sectional analysis nested within the 100 Million Brazilian Cohort.有条件现金转移计划与儿童死亡率:1 亿巴西队列研究中的嵌套横断面分析。
PLoS Med. 2021 Sep 28;18(9):e1003509. doi: 10.1371/journal.pmed.1003509. eCollection 2021 Sep.

CIDACS在巴西推动包容性和对话式数据治理的努力:一项重点文献综述。

CIDACS' efforts towards an inclusive and dialogic data governance in Brazil: a focused literature review.

作者信息

Almeida Bethânia de A, Carreiro Roberto P, de Souza Maíra L, Barreto Mauricio L

机构信息

Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia.

出版信息

Int J Popul Data Sci. 2024 Mar 13;9(1):2163. doi: 10.23889/ijpds.v9i1.2163. eCollection 2024.

DOI:10.23889/ijpds.v9i1.2163
PMID:39620118
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11606382/
Abstract

The Centre for Data and Knowledge Integration for Health's (CIDACS) data governance efforts have primarily focused on legal, technical and operational procedures to provide high-quality linked administrative data for investigations on social determinants of health and the impact of social protection policies in low-income and vulnerable populations throughout Brazil. The Centre is moving towards an updated data governance model that incorporates the participation of, and consultation and dialogue with, data stakeholders, including groups covered by our linked data. To this end, this paper presents our procedures and challenges, outlining relevant considerations based on a focused literature review that aims to support the inclusion of societal participation in our revised data governance approach, which should be considered an ongoing process.

摘要

健康数据与知识整合中心(CIDACS)的数据治理工作主要集中在法律、技术和操作程序上,旨在提供高质量的关联行政数据,以用于对巴西低收入和弱势群体的健康社会决定因素及社会保护政策影响的调查。该中心正在朝着一种更新的数据治理模式迈进,这种模式纳入了数据利益相关者的参与、咨询和对话,包括我们关联数据所涵盖的群体。为此,本文介绍了我们的程序和挑战,基于一项重点文献综述概述了相关考虑因素,该综述旨在支持将社会参与纳入我们修订后的数据治理方法,而这一过程应被视为一个持续的过程。