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Tools and Resources for Data Curation (California Digital Library)

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Ethics in Social Science Research (Scott Desposato)

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Reproducible and Collaborative Statistical Data Science (Philip Stark)

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Pre-Specification Across Research Projects (Thad Dunning)

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Promoting Transparency in Social Science Research (Ted Miguel)

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Reporting Standards for Social Science Experiments (Kevin Esterling)

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A Student-Oriented Protocol for Research Documentation and Replicability (Project TIER)

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False-Positives, p-Hacking, Statistical Power, and Evidential Value (Leif Nelson)

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Essentials of Computing with Data (D-Lab)

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Dataverse - Research Transparency through Data Sharing (Merce Crosas)

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Preanalysis Plans - Applications in Economics (Kate Casey)

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Pre-Registration and Reporting - Perspectives from Biomedical Research (Maya Petersen)