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Reproducible research and GIScience: an evaluation using AGILE conference papers
The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geograph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047504/ https://www.ncbi.nlm.nih.gov/pubmed/30013826 http://dx.doi.org/10.7717/peerj.5072 |
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author | Nüst, Daniel Granell, Carlos Hofer, Barbara Konkol, Markus Ostermann, Frank O. Sileryte, Rusne Cerutti, Valentina |
author_facet | Nüst, Daniel Granell, Carlos Hofer, Barbara Konkol, Markus Ostermann, Frank O. Sileryte, Rusne Cerutti, Valentina |
author_sort | Nüst, Daniel |
collection | PubMed |
description | The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geographic information science (GIScience). Using this criteria, we assessed a sample of GIScience studies from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, and we collected feedback about the assessment from the study authors. Results from the author feedback indicate that although authors support the concept of performing reproducible research, the incentives for doing this in practice are too small. Therefore, we propose concrete actions for individual researchers and the GIScience conference series to improve transparency and reproducibility. For example, to support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats. |
format | Online Article Text |
id | pubmed-6047504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60475042018-07-16 Reproducible research and GIScience: an evaluation using AGILE conference papers Nüst, Daniel Granell, Carlos Hofer, Barbara Konkol, Markus Ostermann, Frank O. Sileryte, Rusne Cerutti, Valentina PeerJ Science Policy The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geographic information science (GIScience). Using this criteria, we assessed a sample of GIScience studies from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, and we collected feedback about the assessment from the study authors. Results from the author feedback indicate that although authors support the concept of performing reproducible research, the incentives for doing this in practice are too small. Therefore, we propose concrete actions for individual researchers and the GIScience conference series to improve transparency and reproducibility. For example, to support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats. PeerJ Inc. 2018-07-13 /pmc/articles/PMC6047504/ /pubmed/30013826 http://dx.doi.org/10.7717/peerj.5072 Text en ©2018 Nüst et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Science Policy Nüst, Daniel Granell, Carlos Hofer, Barbara Konkol, Markus Ostermann, Frank O. Sileryte, Rusne Cerutti, Valentina Reproducible research and GIScience: an evaluation using AGILE conference papers |
title | Reproducible research and GIScience: an evaluation using AGILE conference papers |
title_full | Reproducible research and GIScience: an evaluation using AGILE conference papers |
title_fullStr | Reproducible research and GIScience: an evaluation using AGILE conference papers |
title_full_unstemmed | Reproducible research and GIScience: an evaluation using AGILE conference papers |
title_short | Reproducible research and GIScience: an evaluation using AGILE conference papers |
title_sort | reproducible research and giscience: an evaluation using agile conference papers |
topic | Science Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047504/ https://www.ncbi.nlm.nih.gov/pubmed/30013826 http://dx.doi.org/10.7717/peerj.5072 |
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