Week 4: Replication and Open Data
Approaches to the Replication of Research
What is replication and replicability and why are they so important to science and policy?
4.1 Introduction to Replication
4.2 An unsuccessful replication of “Social Security, Induced Retirement, and Aggregate Capital Accumulation” by Martin Feldstein
4.4 Why is there so little replication and how can we promote more?
4.5 A replication example: The Many Labs Project
In this activity, we discuss why sharing data and code is so valuable – both to individual scientists and to the wider scientific community.
4.8 How open data can facilitate the detection of fraudulent data
4.9 Another example of detecting fraudulent research using open data
4.10 “Just Post it: The Lesson from Two Cases of Fabricated Data Detected by Statistics Alone” by Uri Simonsohn
4.13 Open data makes for more credible science: two articles on disappearing data
4.14 If you post your data, it might actually be good for you!
4.15 Rules for open data