Should data from demographic surveillance systems be made more widely available to researchers?

Should data from demographic surveillance systems be made more widely available to researchers?
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是否应该向研究人员更广泛地提供人口监测系统的数据?

DOI:
10.1371/journal.pmed.0050057
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发表时间:
2008-02
期刊:
影响因子:
15.8
通讯作者:
Binka, Fred
Binka, Fred
中科院分区:
医学1区
文献类型:
--
作者:
Chandramohan, Daniel;Shibuya, Kenji;Setel, Philip;Cairncross, Sandy;Lopez, Alan D.;Murray, Christopher J. L.;Zaba, Basia;Snow, Robert W.;Binka, Fred

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辩论背景:人口监测——随着时间的推移监测人口出生、死亡、死因和迁移的过程——是公共卫生研究的基石之一,特别是在调查和解决健康差距方面。国际人口监测系统 (DSS) 网络目前正在运行,主要在撒哈拉以南非洲和亚洲。 38 个 DSS 站点由国际人口及其健康连续人口统计评估网络 (INDEPTH) 协调。在这场辩论中,Daniel Chandramohan 及其同事认为,INDEPTH 数据库中的 DSS 数据应该向全世界所有研究人员开放,而不仅仅是 INDEPTH 网络内的研究人员。 Basia Żaba 及其同事认为,DSS 站点共享数据的主要障碍是技术、管理和财务,而不是对分析和发布的所有权问题。本月的社论将进一步讨论这一争论。 Chandramohan 和同事认为 DSS 数据应该向全世界所有研究人员开放,而 Żaba 和同事则讨论了 DSS 站点更广泛地共享数据的主要障碍。
Background to the debate: Demographic surveillance—the process of monitoring births, deaths, causes of deaths, and migration in a population over time—is one of the cornerstones of public health research, particularly in investigating and tackling health disparities. An international network of demographic surveillance systems (DSS) now operates, mostly in sub-Saharan Africa and Asia. Thirty-eight DSS sites are coordinated by the International Network for the Continuous Demographic Evaluation of Populations and Their Health (INDEPTH). In this debate, Daniel Chandramohan and colleagues argue that DSS data in the INDEPTH database should be made available to all researchers worldwide, not just to those within the INDEPTH Network. Basia Żaba and colleagues argue that the major obstacles to DSS sites sharing data are technical, managerial, and financial rather than proprietorial concerns about analysis and publication. This debate is further discussed in this month's Editorial. Chandramohan and colleagues argue that DSS data should be made available to all researchers worldwide, while Żaba and colleagues discuss the major obstacles to DSS sites sharing their data more widely.
DOI: 10.1093/heapol/16.4.337
发表时间: 2001-12-01
影响因子: 3.2
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