The NCEAS Informatics Program researches, develops, advances, and supports scientific computing tools that facilitate data analysis and synthesis in ecology and environmental sciences. The NCEAS Informatics group focuses on four areas:
- Informatics Research – Creating powerful new scientific computing tools and methods for openly sharing data and code and enabling robust, reproducible science. Openly available NCEAS Informatics software and tools.
- Scientific Computing – Engaging with resident scientists and visiting scientific research teams to help solve specific scientific analysis and computing challenges.
- CyberInfrastucture and Support – Providing visiting scientists with the computing and collaboration tools, network infrastructure, and onsite support required to access, analyze, and visualize the synthesis of large scientific datasets.
- Technical Training – Helping scientists acquire advanced skills in data analysis and collaboration to effectively engage in synthesis science.
NCEAS’ Informatics Program has become a leader in creating new informatics research collaborations, bringing together the best science and technology minds to create new tools to enhance our ability to discover, access, integrate, and appropriately apply the growing body of ecological and other data. Ultimately, these advances in informatics will have a large impact on our knowledge and understanding of ecosystems and our ability to apply that understanding to the world’s most pressing conservation and resource management issues.
Data sharing and access to technology are crucial elements in arriving at new frontiers in ecology and new solutions to environmental problems. The NCEAS Data Policy encourages scientists to document and publish their datasets and code for robust, reproducible science. Many of NCEAS’ Informatics projects and tools are focused on facilitating data sharing, and all of the tools developed at NCEAS are freely available. In addition, we maintain a public data repository, which houses thousands of freely accessible datasets, generated at NCEAS and elsewhere. The KNB (Knowledge Network for Biocomplexity) search engine will search our repository as well as others maintained by our collaborators.
NCEAS Informatics program creates and advances technologies to enable robust and reproducible science