Open Science Expectations for Simulation-Based Research

There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community science. However, the massive size and complexity of geoscie...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Gretchen L. Mullendore, Matthew S. Mayernik, Douglas C. Schuster
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	data preservation replicability model simulation Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/526facece6ae4789a28e68fcfa485817
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:526facece6ae4789a28e68fcfa485817
record_format	dspace
spelling	oai:doaj.org-article:526facece6ae4789a28e68fcfa4858172021-11-30T18:12:56ZOpen Science Expectations for Simulation-Based Research2624-955310.3389/fclim.2021.763420https://doaj.org/article/526facece6ae4789a28e68fcfa4858172021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fclim.2021.763420/fullhttps://doaj.org/toc/2624-9553There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community science. However, the massive size and complexity of geoscience simulation outputs, as well as the large cost to produce and preserve these outputs, present problems related to data storage, preservation, duplication, and replication. The simulation workflows themselves present additional challenges related to usability, understandability, documentation, and citation. These challenges make it difficult for researchers to meet the bewildering variety of data management requirements and recommendations across research funders and scientific journals. This paper introduces initial outcomes and emerging themes from the EarthCube Research Coordination Network project titled “What About Model Data? - Best Practices for Preservation and Replicability,” which is working to develop tools to assist researchers in determining what elements of geoscience modeling research should be preserved and shared to meet evolving community open science expectations.Specifically, the paper offers approaches to address the following key questions:• How should preservation of model software and outputs differ for projects that are oriented toward knowledge production vs. projects oriented toward data production?• What components of dynamical geoscience modeling research should be preserved and shared?• What curation support is needed to enable sharing and preservation for geoscience simulation models and their output?• What cultural barriers impede geoscience modelers from making progress on these topics?Gretchen L. MullendoreMatthew S. MayernikDouglas C. SchusterFrontiers Media S.A.articledatapreservationreplicabilitymodelsimulationEnvironmental sciencesGE1-350ENFrontiers in Climate, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data preservation replicability model simulation Environmental sciences GE1-350
spellingShingle	data preservation replicability model simulation Environmental sciences GE1-350 Gretchen L. Mullendore Matthew S. Mayernik Douglas C. Schuster Open Science Expectations for Simulation-Based Research
description	There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community science. However, the massive size and complexity of geoscience simulation outputs, as well as the large cost to produce and preserve these outputs, present problems related to data storage, preservation, duplication, and replication. The simulation workflows themselves present additional challenges related to usability, understandability, documentation, and citation. These challenges make it difficult for researchers to meet the bewildering variety of data management requirements and recommendations across research funders and scientific journals. This paper introduces initial outcomes and emerging themes from the EarthCube Research Coordination Network project titled “What About Model Data? - Best Practices for Preservation and Replicability,” which is working to develop tools to assist researchers in determining what elements of geoscience modeling research should be preserved and shared to meet evolving community open science expectations.Specifically, the paper offers approaches to address the following key questions:• How should preservation of model software and outputs differ for projects that are oriented toward knowledge production vs. projects oriented toward data production?• What components of dynamical geoscience modeling research should be preserved and shared?• What curation support is needed to enable sharing and preservation for geoscience simulation models and their output?• What cultural barriers impede geoscience modelers from making progress on these topics?
format	article
author	Gretchen L. Mullendore Matthew S. Mayernik Douglas C. Schuster
author_facet	Gretchen L. Mullendore Matthew S. Mayernik Douglas C. Schuster
author_sort	Gretchen L. Mullendore
title	Open Science Expectations for Simulation-Based Research
title_short	Open Science Expectations for Simulation-Based Research
title_full	Open Science Expectations for Simulation-Based Research
title_fullStr	Open Science Expectations for Simulation-Based Research
title_full_unstemmed	Open Science Expectations for Simulation-Based Research
title_sort	open science expectations for simulation-based research
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/526facece6ae4789a28e68fcfa485817
work_keys_str_mv	AT gretchenlmullendore openscienceexpectationsforsimulationbasedresearch AT matthewsmayernik openscienceexpectationsforsimulationbasedresearch AT douglascschuster openscienceexpectationsforsimulationbasedresearch
_version_	1718406378518740992

Open Science Expectations for Simulation-Based Research

Ejemplares similares