Making modeling and software FAIR
Barton, C. Michael; Ames, Daniel; Chen, Min; Frank, Karin; Jagers, H.R. Albert; Lee, Allen; Reis, Stefan ORCID: https://orcid.org/0000-0003-2428-8320; Swantek, Laura. 2022 Making modeling and software FAIR. Environmental Modelling & Software, 156, 105496. 2, pp. 10.1016/j.envsoft.2022.105496
Before downloading, please read NORA policies.Preview |
Text
N533105PP.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (425kB) | Preview |
Abstract/Summary
Correspondence. In December 2021, representatives from 50 organizations that support model-based science around the world met to form an international standards body for computational modeling, the Open Modeling Foundation (OMF). The OMF will identify, develop, and promote common standards and best practices for FAIR modeling (Findable, Accessible, Interoperable, Reusable).
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.1016/j.envsoft.2022.105496 |
UKCEH and CEH Sections/Science Areas: | Atmospheric Chemistry and Effects (Science Area 2017-) |
ISSN: | 1364-8152 |
NORA Subject Terms: | Computer Science Data and Information |
Date made live: | 22 Dec 2022 15:30 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/533105 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year