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. https://doi.org/10.1016/j.envsoft.2022.105496

Before downloading, please read NORA policies.

Text
N533105PP.pdf - Accepted Version
Restricted to NORA staff only until 25 August 2024.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.
Download (425kB)

Official URL: http://dx.doi.org/10.1016/j.envsoft.2022.105496

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):	https://doi.org/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

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/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)