Biological Databases Should Be Treated as Infrastructure

Biological databases should be reclassified from temporary projects to enduring infrastructure, according to an editorial published online in Nature on August 18, 2026. This fundamental shift in perspective is crucial for ensuring the sustainability and continued utility of these vital resources for scientific research. The editorial highlights that biological databases, which store and organize vast amounts of genetic, proteomic, and other biological data, are not static collections but dynamic, evolving entities that require ongoing maintenance, updates, and curation.

The current model, which often relies on short-term grant funding for specific projects, leads to instability and eventual obsolescence for many databases. When project funding ends, databases can become unmaintained, leading to data corruption, outdated information, or complete shutdowns. This loss is particularly detrimental given the increasing reliance of researchers on these repositories for hypothesis generation, experimental design, and data validation. The editorial emphasizes that the value of a biological database grows over time as more data is added and its utility is proven across diverse research fields. Treating them as infrastructure implies a commitment to long-term support, akin to how roads, power grids, or public libraries are maintained for the benefit of society.

Implementing this infrastructure model would necessitate new funding mechanisms and governance structures. This could involve dedicated public funding streams, institutional commitments, or consortia-based support models. Such a framework would allow for continuous development, ensuring databases remain accessible, reliable, and up-to-date with the latest scientific advancements and data standards. Furthermore, it would encourage better interoperability between different databases, creating a more cohesive and powerful ecosystem for biological data. The editorial suggests that this transition is not merely an administrative or financial adjustment but a necessary evolution in how the scientific community values and supports the foundational elements of modern biological research. Without this change, the risk of losing invaluable data resources and hindering scientific progress remains significant.

The implications of this reclassification extend to data management practices, technological innovation, and the training of personnel. A stable infrastructure model would attract and retain skilled bioinformaticians and data curators, who are essential for the effective operation of these complex systems. It would also foster innovation in data storage, retrieval, and analysis technologies, ensuring that biological databases can keep pace with the exponential growth of biological data generated by high-throughput sequencing and other advanced research methods. The editorial concludes by urging the scientific community, funding agencies, and policymakers to recognize biological databases as critical national and international assets that require sustained investment and strategic planning for their long-term viability and impact on scientific discovery.