A Practical Guide for Transparency in Psychological Science

Author:

Klein Olivier1ORCID,Hardwicke Tom E.2ORCID,Aust Frederik3ORCID,Breuer Johannes4,Danielsson Henrik56ORCID,Mohr Alicia Hofelich7,IJzerman Hans8ORCID,Nilsonne Gustav29,Vanpaemel Wolf10ORCID,Frank Michael C.2ORCID

Affiliation:

1. Université Libre de Bruxelles, BE

2. Stanford University, US

3. University of Cologne, DE

4. GESIS Leibniz Institute for the Social Sciences, DE

5. Linköping University, SE

6. The Swedish Institute for Disability Research, SE

7. University of Minnesota, US

8. Université Grenoble Alpes, FR

9. Karolinska Institutet and Stockholm University, SE

10. University of Leuven, BE

Abstract

The credibility of scientific claims depends upon the transparency of the research products upon which they are based (e.g., study protocols, data, materials, and analysis scripts). As psychology navigates a period of unprecedented introspection, user-friendly tools and services that support open science have flourished. However, the plethora of decisions and choices involved can be bewildering. Here we provide a practical guide to help researchers navigate the process of preparing and sharing the products of their research (e.g., choosing a repository, preparing their research products for sharing, structuring folders, etc.). Being an open scientist means adopting a few straightforward research management practices, which lead to less error prone, reproducible research workflows. Further, this adoption can be piecemeal – each incremental step towards complete transparency adds positive value. Transparent research practices not only improve the efficiency of individual researchers, they enhance the credibility of the knowledge generated by the scientific community.

Publisher

University of California Press

Subject

General Psychology

Reference62 articles.

1. An Introduction to Docker for Reproducible Research;ACM SIGOPS Operating Systems Review,2015

2. The conundrum of sharing research data;Journal of the Association for Information Science and Technology,2012

3. Ten simple rules to consider regarding preprint submission;PLoS Computational Biology,2017

4. The replication recipe: What makes for a convincing replication?;Journal of Experimental Social Psychology,2014

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