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Open AccessJournal ArticleDOI

Should Data from Demographic Surveillance Systems Be Made More Widely Available to Researchers

TLDR
Chandramohan et al. as discussed by the authors argue that the major obstacles to sharing data are technical, managerial, and financial rather than proprietorial concerns about analysis and publication, and argue that DSS data in the INDEPTH database should be made available to all researchers worldwide, not just to those within the International Network for the Continuous Demographic Evaluation of Populations and Their Health (INDEPTH).
Abstract
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 Zaba 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.

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Citations
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Journal ArticleDOI

Global patterns of mortality in young people: a systematic analysis of population health data

TL;DR: Present global priorities for adolescent health policy are an important but insufficient response to prevent mortality in an age-group in which more than two in five deaths are due to intentional and unintentional injuries.
Journal ArticleDOI

A systematic review of barriers to data sharing in public health

TL;DR: A systematic literature review of potential barriers to public health data sharing and grouped identified barriers in a taxonomy for a focused international dialogue on solutions to accelerate the use of valuable information for the global good.
Journal ArticleDOI

The INDEPTH Network: filling vital gaps in global epidemiology

TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about thephysiology of adverse events such as diarrhoea and vomiting that occur in rural areas.
Journal ArticleDOI

What drives academic data sharing

TL;DR: It is concluded that research data cannot be regarded as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress.
Posted Content

What Drives Academic Data Sharing

TL;DR: In this article, the authors developed a conceptual framework that explains the process of data sharing from the primary researcher's point of view, which can be divided into six descriptive categories: data donor, research organization, research community, norms, data infrastructure, and data recipients.
References
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Book

Comparative quantification of health risks : global and regional burden of disease attributable to selected major risk factors

TL;DR: This book provides a comprehensive assessment of the scientific evidence on prevalence and hazards, and the resulting health effects, of a range of exposures that are known to be hazardous to human health, including childhood and maternal undernutrition, nutritional and physiological risk factors for adult health, addictive substances, sexual and reproductive health, and risks in the physical environments of households and communities.
Book

Demographic and health surveys

Ann K. Blanc
Journal ArticleDOI

Counting the dead and what they died from: an assessment of the global status of cause of death data

TL;DR: There is an urgent need for countries to implement death registration systems, even if only through sample registration, or enhance their existing systems in order to rapidly improve knowledge about the most basic of health statistics: who dies from what?
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