NGEE Arctic Data Catalog

The Next-Generation Ecosystem Experiments (NGEE Arctic) is a 10-year project (2012—2022) to improve our predictive understanding of carbon (C)-rich Arctic system processes and feedbacks to climate. This is achieved through experiments, observations, and synthesis of existing datasets that strategically inform model process representation and parameterization, and that enhance the knowledge base required for model initialization, calibration, and evaluation.

Data and Resources

Additional Info

Field Value
Source https://ngee-arctic.ornl.gov/data/#fq=datasource%3A%22NGEE%20Arctic%22&q=*%3A*
Last Updated May 26, 2021, 02:11 (UTC)
Created October 6, 2020, 13:15 (UTC)
Country USA
Data Management The Department affirms that the following principles for the management of digital research data support its mission. Effective data management has the potential to increase the pace of scientific discovery and promote more efficient and effective use of government funding and resources. Data management planning should be an integral part of research planning. Sharing and preserving data are central to protecting the integrity of science by facilitating validation of results and to advancing science by broadening the value of research data to disciplines other than the originating one and to society at large. To the greatest extent, with the fewest constraints possible, and consistent with the requirements and other principles stated in this document, data sharing should make digital research data available to and useful for the scientific community, industry, and the public. Not all data need to be shared or preserved. The costs and benefits of doing so should be considered in data management planning.
Data Policy The NGEE Arctic project is committed to upholding a rigorous and high-quality data management strategy consistent with the DOE Policy for Digital Research Data Management. Additionally, the Project offers its own Data Publication and Sharing Policy. In accordance with the sponsoring program, the NGEE Arctic project developed its Data Management Plan containing details about the project’s data quality assurance methods, archiving procedures, and sharing of data and modeling code. The plan also includes how to appropriately credit the data authors and cite the data in publications.
Data Sharing Principle Metadata describing the NGEE Arctic data products is captured in the Online Metadata Editor (OME). Data (including metadata) should be made available as soon as feasible after initial quality checks but no later than 12 months after acquisition. Generally, public release will be concurrent with open literature publication of results. All public data will be submitted to the DOE's ESS-DIVE data center. At the end of the project, all internal data and associated metadata will be made public and will be transitioned to ESS-DIVE. Key data collected by graduate students should not be released publicly at the NGEE Arctic Data Portal prior to submitting their thesis, dissertation, or peer-reviewed publication because to do so can jeopardize the student s academic interests. As a result, data collected specifically for a student's thesis or dissertation are not subject to the public data sharing obligations of this policy until the end of Phase 3 or after the student has completed their degree, whichever comes first. All data supporting a student or postdoctoral associate' s work must be submitted to the archive prior to leaving the NGEE Arctic project.