Our research in data science and informatics makes environmental data easier to locate, access, interpret, and analyze.
Often done in partnership with other scientific institutions, our data science research generates solutions for the following:
- Storage and management of environmental data
- Discovery and preparation of data for further analysis and synthesis
- Automated machine processing of information and models
- Making these capabilities available to practicing scientists
The Arctic Data Center is an archive for scientific data and other research documents on the Arctic generated by projects funded by the National Science Foundation. It allows Arctic researchers to store and discover information about the entire research process, including software, workflows, and data provenance.
The Arctic Data Center also supports its users with data management tools, community support, and trainings. It is a collaboration between NCEAS, DataONE, and NOAA's National Centers for Environmental Information (NCEI) and funded by the National Science Foundation.
Data Task Force
The Data Task Force is a team of data scientists at NCEAS focused on gathering and aligning data about Alaska’s salmon for the State of Alaska's Salmon and People project. Through in-depth search and rescue missions, the Task Force locates data from a wide variety of sources, which they then align to the same format, organize into datasets, and make them easily findable for future use. The overall goal is to improve the efficiency and productivity of the research process.
This project is funded by the Gordon and Betty Moore Foundation. Learn more.
A growing collection of standard protocols, formats, and vocabularies, often characterized as the Semantic Web ("Web of Data"), offers a powerful approach for publishing research data online. The GeoLink project brings together experts from geoscience, computer science, and library science in an effort to develop Semantic Web components that support discovery and reuse of geoscience data and knowledge.
Participating repositories include content from field expeditions, laboratory analyses, journal publications, conference presentations, theses/reports, and funding awards from many disciplines, ranging from marine geology to paleoclimate.
In recognition that research impact includes the generation of data, Making Data Count is an effort to collect usage and citation metrics for data objects and develop a service that collates and shares these metrics with the scientific community.
This project is working with the research community to develop a clear set of guidelines for defining data usage and create a central hub for data metrics, including the number of data views, downloads, citations, saves, and social media mentions.
Making Data Count is a partnership between NCEAS, DataONE, the California Digital Library, and DataCite and funded by the Alfred P. Sloan Foundation.