Seven Reasons Why: A User’s Guide to Transparency and Reproducibility

Detalhes bibliográficos
Autor(a) principal: Figueiredo Filho,Dalson
Data de Publicação: 2019
Outros Autores: Lins,Rodrigo, Domingos,Amanda, Janz,Nicole, Silva,Lucas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Political Science Review
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1981-38212019000200400
Resumo: Despite a widespread agreement on the importance of transparency in science, a growing body of evidence suggests that both the natural and the social sciences are facing a reproducibility crisis. In this paper, we present seven reasons why journals and authors should implement — transparent guidelines. We argue that sharing replication materials, which include full disclosure of the methods used to collect and analyze data, the public availability of raw and manipulated data, in addition to computational scripts, may generate the following positive outcomes: 01. production of trustworthy empirical results, by preventing intentional frauds and avoiding honest mistakes; 02. making the writing and publishing of papers more efficient; 03. enhancing the reviewers’ ability to provide better evaluations; 04. enabling the continuity of academic work; 05. developing scientific reputation; 06. helping to learn data analysis; and 07. increasing the impact of scholarly work. In addition, we review the most recent computational tools to work reproducibly. With this paper, we hope to foster transparency within the political science scholarly community.
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spelling Seven Reasons Why: A User’s Guide to Transparency and ReproducibilityTransparencyreproducibilityreplicationDespite a widespread agreement on the importance of transparency in science, a growing body of evidence suggests that both the natural and the social sciences are facing a reproducibility crisis. In this paper, we present seven reasons why journals and authors should implement — transparent guidelines. We argue that sharing replication materials, which include full disclosure of the methods used to collect and analyze data, the public availability of raw and manipulated data, in addition to computational scripts, may generate the following positive outcomes: 01. production of trustworthy empirical results, by preventing intentional frauds and avoiding honest mistakes; 02. making the writing and publishing of papers more efficient; 03. enhancing the reviewers’ ability to provide better evaluations; 04. enabling the continuity of academic work; 05. developing scientific reputation; 06. helping to learn data analysis; and 07. increasing the impact of scholarly work. In addition, we review the most recent computational tools to work reproducibly. With this paper, we hope to foster transparency within the political science scholarly community.Associação Brasileira de Ciência Política2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1981-38212019000200400Brazilian Political Science Review v.13 n.2 2019reponame:Brazilian Political Science Reviewinstname:Associação Brasileira de Ciência Política (ABCP)instacron:ABCP10.1590/1981-3821201900020001info:eu-repo/semantics/openAccessFigueiredo Filho,DalsonLins,RodrigoDomingos,AmandaJanz,NicoleSilva,Lucaseng2019-08-27T00:00:00Zoai:scielo:S1981-38212019000200400Revistahttps://brazilianpoliticalsciencereview.org/https://old.scielo.br/oai/scielo-oai.phpbpsr@brazilianpoliticalsciencareview.org||bpsr@bpsr.org.br1981-38211981-3821opendoar:2019-08-27T00:00Brazilian Political Science Review - Associação Brasileira de Ciência Política (ABCP)false
dc.title.none.fl_str_mv Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
title Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
spellingShingle Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
Figueiredo Filho,Dalson
Transparency
reproducibility
replication
title_short Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
title_full Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
title_fullStr Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
title_full_unstemmed Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
title_sort Seven Reasons Why: A User’s Guide to Transparency and Reproducibility
author Figueiredo Filho,Dalson
author_facet Figueiredo Filho,Dalson
Lins,Rodrigo
Domingos,Amanda
Janz,Nicole
Silva,Lucas
author_role author
author2 Lins,Rodrigo
Domingos,Amanda
Janz,Nicole
Silva,Lucas
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Figueiredo Filho,Dalson
Lins,Rodrigo
Domingos,Amanda
Janz,Nicole
Silva,Lucas
dc.subject.por.fl_str_mv Transparency
reproducibility
replication
topic Transparency
reproducibility
replication
description Despite a widespread agreement on the importance of transparency in science, a growing body of evidence suggests that both the natural and the social sciences are facing a reproducibility crisis. In this paper, we present seven reasons why journals and authors should implement — transparent guidelines. We argue that sharing replication materials, which include full disclosure of the methods used to collect and analyze data, the public availability of raw and manipulated data, in addition to computational scripts, may generate the following positive outcomes: 01. production of trustworthy empirical results, by preventing intentional frauds and avoiding honest mistakes; 02. making the writing and publishing of papers more efficient; 03. enhancing the reviewers’ ability to provide better evaluations; 04. enabling the continuity of academic work; 05. developing scientific reputation; 06. helping to learn data analysis; and 07. increasing the impact of scholarly work. In addition, we review the most recent computational tools to work reproducibly. With this paper, we hope to foster transparency within the political science scholarly community.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1981-3821201900020001
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dc.publisher.none.fl_str_mv Associação Brasileira de Ciência Política
publisher.none.fl_str_mv Associação Brasileira de Ciência Política
dc.source.none.fl_str_mv Brazilian Political Science Review v.13 n.2 2019
reponame:Brazilian Political Science Review
instname:Associação Brasileira de Ciência Política (ABCP)
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instname_str Associação Brasileira de Ciência Política (ABCP)
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reponame_str Brazilian Political Science Review
collection Brazilian Political Science Review
repository.name.fl_str_mv Brazilian Political Science Review - Associação Brasileira de Ciência Política (ABCP)
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