Javascript must be enabled to continue!
Editorial: The publication of geoscientific model developments v1.2
View through CrossRef
Abstract. Version 1.1 of the editorial of Geoscientific Model Development (GMD),
published in 2015 (GMD Executive Editors, 2015), introduced clarifications to the policy on publication
of source code and input data for papers published in the journal. Three
years of working with this policy has revealed that it is necessary
to be more precise in the requirements of the policy and in the narrowness of
its exceptions. Furthermore, the previous policy was not specific in the
requirements for suitable archival locations. Best practice in code and
data archiving continues to develop and is far from universal among scientists. This has
resulted in many manuscripts requiring improvement in code
and data availability practice during the peer-review process. New
researchers continually start their professional lives, and it remains the case
that not all authors fully appreciate why code and data publication
is necessary. This editorial provides an opportunity to explain this in the context of GMD. The changes in the code and data policy are summarised as follows:
The requirement for authors to publish source code, unless this
is impossible for reasons beyond their control, is clarified. The
minimum requirements are strengthened such that all model code must
be made accessible during the review process to the editor and to
potentially anonymous reviewers. Source code that can be made public
must be made public, and embargoes are not permitted. Identical
requirements exist for input data and model evaluation data sets in
the model experiment descriptions. The scope of the code and data required to be published is
described. In accordance with Copernicus' own data policy, we now
specifically strongly encourage all code and data used in any
analyses be made available. This will have particular relevance
for some model evaluation papers where editors may now strongly
request this material be made available. The requirements of suitable archival locations are specified, along
with the recommendation that Zenodo is often a good choice.
In addition, since the last editorial, an “Author contributions”
section must now be included in all manuscripts.
Title: Editorial: The publication of geoscientific model developments v1.2
Description:
Abstract.
Version 1.
1 of the editorial of Geoscientific Model Development (GMD),
published in 2015 (GMD Executive Editors, 2015), introduced clarifications to the policy on publication
of source code and input data for papers published in the journal.
Three
years of working with this policy has revealed that it is necessary
to be more precise in the requirements of the policy and in the narrowness of
its exceptions.
Furthermore, the previous policy was not specific in the
requirements for suitable archival locations.
Best practice in code and
data archiving continues to develop and is far from universal among scientists.
This has
resulted in many manuscripts requiring improvement in code
and data availability practice during the peer-review process.
New
researchers continually start their professional lives, and it remains the case
that not all authors fully appreciate why code and data publication
is necessary.
This editorial provides an opportunity to explain this in the context of GMD.
The changes in the code and data policy are summarised as follows:
The requirement for authors to publish source code, unless this
is impossible for reasons beyond their control, is clarified.
The
minimum requirements are strengthened such that all model code must
be made accessible during the review process to the editor and to
potentially anonymous reviewers.
Source code that can be made public
must be made public, and embargoes are not permitted.
Identical
requirements exist for input data and model evaluation data sets in
the model experiment descriptions.
The scope of the code and data required to be published is
described.
In accordance with Copernicus' own data policy, we now
specifically strongly encourage all code and data used in any
analyses be made available.
This will have particular relevance
for some model evaluation papers where editors may now strongly
request this material be made available.
The requirements of suitable archival locations are specified, along
with the recommendation that Zenodo is often a good choice.
In addition, since the last editorial, an “Author contributions”
section must now be included in all manuscripts.
Related Results
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Abstract
The rapid growth of open access publishing (OAP) has significantly improved the accessibility and dissemination of scientific knowledge. However, this expansion has also c...
Making geoscientific lab data FAIR: a conceptual model for a geophysical laboratory database
Making geoscientific lab data FAIR: a conceptual model for a geophysical laboratory database
Abstract. The term of geoscientific laboratory measurements involves a variety of methods in geosciences. Accordingly, the resulting data comprise many different data types, format...
Editorial: The publication of geoscientific model developments v1.0
Editorial: The publication of geoscientific model developments v1.0
Abstract. In 2008, the first volume of the European Geosciences Union (EGU) journal Geoscientific Model Development (GMD) was published. GMD was founded because we perceived there ...
Geoscientific research's influence on renewable energy policies and ecological balancing
Geoscientific research's influence on renewable energy policies and ecological balancing
Geoscientific research plays a crucial role in shaping renewable energy policies and promoting ecological balance. This review explores the impact of geoscientific research on rene...
The Intelligent Prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration
The Intelligent Prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration
Abstract. Geoscientific models are based on geoscientific data; hence,
building better models, in the sense of attaining better predictions, often
means acquiring additional data. ...
Firedrake - automated, differentiable building blocks for geoscientific simulation
Firedrake - automated, differentiable building blocks for geoscientific simulation
Computer simulations of continuous processes described by partial differential equations are a bedrock of geoscientific simulation. Each simulation is a complex composition of equa...
Editorial: The publication of geoscientific model developments v1.1
Editorial: The publication of geoscientific model developments v1.1
Abstract. Version 1.0 of the editorial of the EGU (European Geosciences Union) journal, Geoscientific Model Development (GMD), was published in 2013. In that editorial an assessmen...
A database-driven research data framework for integrating and processing high-dimensional geoscientific data
A database-driven research data framework for integrating and processing high-dimensional geoscientific data
Abstract. This paper introduces a modular research data framework designed for geoscientific research across disciplinary boundaries. It is specifically designed to support small r...

