Health

Data Archives Availed To Ease Health Research Accessibility

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more about http://cromatest.mx/components/com_k2/k2.php geneva;”>These archives are designed to improve access to health and science research in low- and middle-income countries (LMICs) especially, this among individuals working in the public health space globally.

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In his remarks at the launch of the data archives on Monday, Professor Osman Sankoh, the Executive Director of the organisation, said the statistics will provide researchers, government officials and policymakers with information that can guide their decision-making.”

They will provide information on crude birth and death rates, age-specific fertility and death rates, infant, child, and under five mortality rates, as well as numerous other health and demographic indicators.

He also noted that additional indicators, such as death rates by cause of death, will be added in the near future.

INDEPTH Network is a pioneer in health and population research in Africa providing robust answers to the most important questions in development.

“The lack of research data management skills and capacity is generally acknowledged to be a major factor in why such data is not more generally available,” said Professor Sankoh.

“These platforms present an opportunity to exert a powerful and sustained influence on the availability of well documented and high quality population-based data,” he added.

According to Dr. Abraham J. Herbst, Principal Investigator of the project, sharing of data reinforces the principles of open scientific enquiry and allows more value to be extracted from the data beyond what the original investigators may be able to do.

“This is particularly true for basic data such as genomic data, but is also relevant for public health data that INDEPTH will share. Re-analysis of the data may lead to new insights and new research,” he said.

The website contains summary statistics, images and graphs of key health and demographic indicators generated from the member HDSS centres.

The detail datasets will contain data in event-history format for approximately 800,000 individuals representing more than 3.7 million person years of observation.

The portal will have indicators from a further 14 member centres.

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