A Computational Model Library for publishing model documentation and code
Identifieur interne : 000264 ( Main/Exploration ); précédent : 000263; suivant : 000265A Computational Model Library for publishing model documentation and code
Auteurs : Nathan D. Rollins [États-Unis] ; C. Michael Barton [États-Unis] ; Sean Bergin [États-Unis] ; Marco A. Janssen [États-Unis] ; Allen Lee [États-Unis]Source :
- Environmental modelling & software [ 1364-8152 ] ; 2014.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
We present a repository for disseminating the computational models associated with publications in the social and life sciences. The number of research projects using computational models has been steadily increasing but the resulting publications often lack model code and documentation which hinders replication, verification of results and accumulation of knowledge. We have developed an open repository, the CoMSES Net Computational Model Library, to address this problem. Submissions to the library can be original models accompanying publications or replications of previous studies. Researchers can request that their models undergo a certification process that verifies that the model code successfully compiles and runs and that it follows documentation best practices. Models that pass the certification process are assigned persistent URLs and identifiers. We present the basic components of our repository, discuss our initial experiences with the library, and elaborate on future steps in the development of this cyberinfrastructure.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000001
- to stream PascalFrancis, to step Curation: 000236
- to stream PascalFrancis, to step Checkpoint: 000003
- to stream Main, to step Merge: 000264
- to stream Main, to step Curation: 000264
Le document en format XML
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<front><div type="abstract" xml:lang="en">We present a repository for disseminating the computational models associated with publications in the social and life sciences. The number of research projects using computational models has been steadily increasing but the resulting publications often lack model code and documentation which hinders replication, verification of results and accumulation of knowledge. We have developed an open repository, the CoMSES Net Computational Model Library, to address this problem. Submissions to the library can be original models accompanying publications or replications of previous studies. Researchers can request that their models undergo a certification process that verifies that the model code successfully compiles and runs and that it follows documentation best practices. Models that pass the certification process are assigned persistent URLs and identifiers. We present the basic components of our repository, discuss our initial experiences with the library, and elaborate on future steps in the development of this cyberinfrastructure.</div>
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<tree><country name="États-Unis"><region name="Arizona"><name sortKey="Rollins, Nathan D" sort="Rollins, Nathan D" uniqKey="Rollins N" first="Nathan D." last="Rollins">Nathan D. Rollins</name>
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<name sortKey="Barton, C Michael" sort="Barton, C Michael" uniqKey="Barton C" first="C. Michael" last="Barton">C. Michael Barton</name>
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<name sortKey="Janssen, Marco A" sort="Janssen, Marco A" uniqKey="Janssen M" first="Marco A." last="Janssen">Marco A. Janssen</name>
<name sortKey="Lee, Allen" sort="Lee, Allen" uniqKey="Lee A" first="Allen" last="Lee">Allen Lee</name>
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