Meeting the needs for open, persistent, robust and accessible Earth observation data
DataONE: the Data Observation Network for Earth (www.dataone.org) is a distributed cyberinfrastructure, that has dramatically increased the discoverability and accessibility of diverse Earth and environmental science data. DataONE has enhanced the efficiency of research and enabled scientists, policy makers and others to more easily address complex questions about our environment and our role within it. Founded in 2009 by the National Science Foundation, DataONE has recently been awarded an additional $15 million from NSF as part of an accomplishment based renewal.
“How does a scientist find the data that are the best available, the most current, most appropriate for the work that one does?” asked Frank Davis, director of UC Santa Barbara’s NCEAS. “Finding the right data can take a lot of time. The best solution would be to have a service or set of services that would make that kind of data discovery and appropriate reuse as easy as possible.” This is why NCEAS's Matt Jones, Director of informatics Research and Development, and Mark Schildhauer, Director of Computing, have been contributing to the DataONE Leadership Team since its inception. NCEAS's KNB Data Repository is a key Coordinating Node of DataONE.
Researchers, policy-makers and others need access to open, available, persistent, well-described and easily discovered Earth observational data. These data form the basis for informed decision-making and wise management of resources. As Ecology evolves into a more data-intensive science, the ability to discover, integrate and analyze massive amounts of disparate information becomes critical, alongside a requirement to equip researchers with the skills necessary to manage data effectively.
During the second phase, DataONE will massively increase the scope, interoperability, and accessibility of data by:
- Significantly expanding the volume and diversity of data available to researchers for large-scale scientific innovation;
- Incorporating innovative features to dramatically improve data discovery and further support reproducible and open science;
- Establishing an openly accessible online education series to support global participation and training in current techniques and perspectives.