Difference between revisions of "Reproducible Research"
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* [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research] | * [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research] | ||
[[Category: Reproducible Research]] | |||
Revision as of 17:12, 7 February 2017
Guidelines
Pre-registration
Pre-analysis plans
BITTS: Template for Pre-analysis plans
Development Impact Blog: Pre-analysis plan checklist
Olken, Benjamin A.. 2015. "Promises and Perils of Pre-analysis Plans." Journal of Economic Perspectives, 29(3): 61-80. DOI: 10.1257/jep.29.3.61
Code replication
Data publication
Software for reproducible research
Git is a free version-control software. Files are stored in Git Repositories, most commonly on GitHub. To learn GitHub, there is an introductory training available through GitHub Services, and multiple tutorials available through GitHub Guides
Additional Resources
From the Abul Latif Jameel Poverty Action Lab (JPAL)
From Innovations for Policy Action (IPA)
- Reproducible Research: Best Practices for Data and Code Management
- Guidelines for data publication
- Randomized Control Trials in the Social Science Dataverse
Center for Open Science
- Transparency and Openness Guidelines, summarized in a 1-Page Handout
Berkeley Initiative for Transparency in the Social Sciences
Johns Hopkins