Nature, August 30, 2006

Boosting access to disease data

EDITORIAL

A new agreement by stakeholders to improve the sharing of flu data should eventually stimulate research on many infectious diseases. Now to make it work.

A scheme to end secrecy in the sharing of avian-flu samples and data, announced online last week in Nature, addresses one aspect of the challenge. The Global Initiative on Sharing Avian Influenza Data (GISAID) is modelled on guidelines for sharing data in large-scale biological research.

It is encouraging that so many leading flu researchers have signed up to its principles, under which countries and scientists would immediately share pre-publication samples and data, provided that all those who seek access abide by rules on intellectual property and the attribution of credit. All data would be released in GenBank and other public databases no later than six months after submission. If it works, it would provide a model for the rapid dissemination of data from outbreaks of future emerging diseases.

GISAID tackles several problems. Countries are often reluctant to share outbreak materials and data, as it could compromise their trade or other national interests. Scientists in affected countries can be loathe to cooperate, as they often see little in return by way of scientific cooperation in building surveillance programmes or fighting the disease. Some researchers hoard data, often for years, for competitive reasons (see Nature 441, 1028200610.1038/4411028a & Nature 440, 255–256; 200610.1038/440255a).

A consensus is emerging, however, that full and rapid sharing is ultimately in the best collective interest of research, surveillance and control. In April, OFFLU, the network on avian influenza of the World Organisation for Animal Health (OIE) and the United Nations' Food and Agriculture Organization (FAO), committed itself to making public material on outbreaks in animals. But it has had mixed success, as it relies on the cooperation of affected countries.

Regarding human cases, the World Health Organization (WHO), while supportive of wider sharing, has been criticized for timidity in pressing countries to release material. But the WHO, like the FAO and OIE, ultimately answers to its member states. Moreover, its priority is not research but the prompt assessment and control of human cases. It has been understandably reluctant to tamper with its existing system, in which countries make samples and data available to a small group of WHO-affiliated labs on a password-protected database. Although imperfect, at least this approach gives it access to much of the genetic, epidemiological and clinical data it needs.

But the system's limits are alarming. For example, when a cluster of human H5N1 cases occurred in Indonesia in May, the WHO had almost no recent animal sequence data available to help it understand the virus's evolution. Rapid sharing of samples and data with scientists across many disciplines is also key to quickly getting a deeper understanding of the virus, and improved drugs and vaccines.

GISAID's broad endorsement of the goal of prompt sharing from multiple stakeholders, often with conflicting interests, is in itself progress and a tribute to the diplomacy of those involved. Tangible evidence of change has also come from the Indonesian government and the US Centers for Disease Control and Prevention, which both announced in August that they would share all flu genomic data; they should be congratulated on having the courage to change policy.

Agreement on the principles of GISAID is only a beginning, however. Prompt progress in establishing the ground rules for sharing will be essential to build confidence and momentum. Governments need to support laboratory capacities in those countries that need it most, where surveillance is weak. And unless donor countries also provide more funds and technical support to fight the disease in animals, which is the reservoir of human cases, we are likely to have more data to share on avian flu than we would like.

Copyright © 2006 Macmillan Publishers Limited   doi:10.1038/442957a  PMID: 16943803