arrowCIRSS Home arrow Projects arrow

DataONE (Data Observation Network for Earth)


Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.  Supported by the U.S. National Science Foundation (Phase 1 Grant #ACI-0830944, Phase 2 Grant #ACI-1430508) as one of the initial DataNets, DataONE will ensure the preservation, access, use and reuse of multi-scale, multi-discipline, and multi-national science data via three primary cyberinfrastucture elements and a broad education and outreach program.

Coordinating Nodes: DataONE currently hosts three Coordinating Nodes that provide network-wide services to enhance interoperability of the Member Nodes and support indexing and replication services. Coordinating Nodes provide a replicated catalog of Member Node holdings and make it easy for scientists to discover data wherever they reside, also enabling data repositories to make their data and services more broadly available to the international community. DataONE Coordinating Nodes are located at the University of New Mexico, the University of California Santa Barbara and at the University of Tennessee (in collaboration with Oak Ridge National Laboratory).

Member Nodes: DataONE comprises a distributed network of data centers, science networks or organizations. These organizations can expose their data within the DataONE network through the implementation of the DataONE Member Node service interface. In addition to scientific data, Member Nodes can provide computing resources, or services such as data replication, to the DataONE community.

Investigator Toolkit: The DataONE Investigator Toolkit enables access to customized tools that are familiar to scientists and that can support them in all aspects of the data life cycle.

Community Engagement and Outreach: DataONE engages its community of partners through working groups focused on identifying, describing, and implementing the DataONE cyberinfrastructure, governance, and sustainability models. Additionally, the DataONE User's Group provides the opportunity for funders, users, developers, educators or any other stakeholder to gather and discuss the advancement of DataONE products and services.

Education is integral to DataONE and spans formal graduate-level training in research and cyber-infrastructure development, to developing informal inquiry-based education modules that allow students of all ages to ask their own specific questions. DataONE is committed to engaging a broad and diverse community of users, engaging students and citizens in science through efforts that span the entire data life cycle, from data gathering, to management, to analysis and publication.

Read more at the project site.

Project PI(s)

PI: William Michener (University of New Mexico); co-PIs: Matthew Jones (University of California, Santa Barbara); David Vieglais (University of Kansas); Suzanne Allard (University of Tennessee Knoxville); sub-award PI: Bertram Ludäscher (iSchool at Illinois)
Project Contact: Bertram Ludäscher
Funded by: National Science Foundation
Grant number: ACI-1430508 (parent award)

Research Area(s)

Data Curation
Research and education initiatives focused on challenges associated with the curation and federation of digital collections for long-term distributed use.  Work in this area relates to all parts …

Data-driven Science
Activities in this domain aim to improve information transfer and integration, technology development and sustainability, and collaboration in the practice of science.  Several current cyberinfra…

Project Team

Bertram Ludäscher (Co-PI)
Yang Cao (Researcher)


Cao,Y., Jones,C., Cuevas-Vicenttín,V., Jones, M., Ludäscher,B.,McPhillips, T., Missier, P., Schwalm, C., Slaughter, P., Vieglais, D., Walker, L., Wei, Y. (2016) DataONE: A Data Federation with Provenance Support.
In Proceedings of the 6th International Provenance and Annotation Workshop (IPAW) (pp. 230-234.).
Presented at IPAW, Mclean, VA, June 7-8, 2016.
Read more

Cuevas-Vicenttín, V., Kianmajd, P., Ludäscher, B., Missier, P., Chirigati, F., Wei, Y., et al.. (2015). Provenance Storage, Querying, and Visualization in PBase. In Provenance and Annotation of Data and Processes (pp. 239-241). Springer International Publishing. doi:10.1007/978-3-319-16462-5
Read more

McPhillips, T., Bowers, S., Belhajjame, K., & Ludäscher, B. (2015, July). Retrospective provenance without a runtime provenance recorder. In Proceedings of the 7th USENIX Conference on Theory and Practice of Provenance (pp. 1-1). USENIX Association.
Read more

Dey, S., Belhajjame, K., Koop, D., Raul, M., & Ludäscher, B. (2015). Linking Prospective and Retrospective Provenance for Scripts. In Intl. Workshop on Theory and Practice of Provenance (TaPP).
Read more

All publications