Improvement of scientific data usability encompasses methodological approaches aimed at enhancing the findability, accessibility, interoperability, and reusability (FAIR principles) of research data throughout its lifecycle. Methods include standardized metadata schemas, controlled vocabularies, and ontologies to ensure semantic consistency; implementation of open, non-proprietary file formats; rigorous data curation, normalization, and quality control pipelines; and adoption of persistent identifiers and rich provenance tracking for reproducibility. Additional practices involve designing machine-actionable data structures (e.g., well-documented APIs, standardized tabular or hierarchical formats), applying community-agreed reporting standards, and integrating data into interoperable repositories that support advanced querying, federation, and downstream computational analysis.
For scientists studying the ocean, finding the right data can sometimes be as challenging as figuring out what to do with it. Want to know seafloor depth, the location of underwater mountains or sea surface temperatures? ...
Earth Sciences
Oct 20, 2026
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14
The PermitAI team at the Department of Energy's Pacific Northwest National Laboratory has changed how federal agencies search past environmental permitting decisions. Now it is taking that access one step further with two ...
Environment
Oct 20, 2026
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6
Agriculture in the Global South remains under pressure to produce more food while responding to climate change and resource constraints. Policy responses have focused on increasing production. But what about postharvest losses? ...
Agriculture
Oct 14, 2026
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11
The Wellcome Sanger Institute's Tree of Life program plans to accelerate publication of genome notes from approximately 30 per month to 200, expanding access to research that is supporting advances in agriculture, conservation ...
Ecology
Oct 14, 2026
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10
Climate change adaptation requires rapid, informed decision-making. Yet the knowledge needed to make those decisions is often hard to find, scattered across online platforms and described using inconsistent terminology.
Environment
Oct 7, 2026
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10
A large part of urban planning involves navigating how people experience a place. That kind of insight can require collecting data at a level of detail that large-scale datasets cannot provide.
Environment
Oct 2, 2026
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14
Biodiversity is enormously diverse, unevenly observed and constantly in motion across space and time. This makes it far harder to monitor than many other parts of the environment. As a result, managing biodiversity often ...
Ecology
Aug 17, 2026
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12
Biodiversity loss has been among the central topics in public, policy and scientific debate for several decades. While its accelerating pace and impacts are well recognized, translating the vast amounts of biodiversity data ...
Ecology
Aug 1, 2026
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16
Calculating a fossil's position throughout geological history is a complex process. In paleontology and other disciplines, determining a location in the past is a challenge that requires refined computational tools to process ...
Paleontology & Fossils
Jul 20, 2026
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136
Researchers have copied massive quantities of publicly available climate and environmental data from NASA onto a Swiss supercomputer to train artificial intelligence models—and for safekeeping amid U.S. funding cuts.
Earth Sciences
Jul 20, 2026
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13
