Re-Blog: Who’s afraid of open data? (by Dorothy Bishop on the BishopBlog)

“Well, how would you like it if you had spent years of your life gathering data … and some person you have never heard comes out of nowhere demanding to have it?” Dorothy Bishop wrote a very interesting blog post about a conference chat about someone who was forced to work transparently. Here’s the first few paragraphs – do check out the full text:
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Political Scientists Trying to Delay Research Transparency

A group of 625 political scientists signed a petition to delay the new APSA guidelines for transparency. They want to discuss the implications for qualitative data, hand-written field notes and confidential data first. I agree that practical discussions are necessary – but this should not be a reason to abandon the transparency guidelines.
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Does transparency hinder novelty and creativity?

The journal Epidemiology has refused to support transparency guidelines. In its editorial it gives the reason: research transparency hinders novelty and creativity.

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Guest Post: The Replication Road – Scientific Detour or Destination? By Nate Breznau

Guest Post: I asked Nate Breznau, an empirical sociologist, to write about his experience replicating published work – the challenges, benefits, and how he got published.

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Reblog: Is withholding your data simply bad science, or should it fall under scientific misconduct?

Screen Shot 2015-07-08 at 20.46.08On the LSE Impact Blog, I argue that if you don’t share your data, you are breaking professional standards in research, and are thus committing scientific misconduct.
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Political science should not stop young researchers from replicating

In a blog post by Jesse Singal at the New York Magazine, one of the students who tried to replicate LaCour‘s findings on gay marriage said that young researchers are often actively discouraged from replicating work.
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replication and extension projects: making class more interesting and useful

A Princeton course instructor assigned replications to his students. Here’s his recap and advice to other teachers:

Originally posted on Wheels on the bus:

This semester I taught the second course in my department’s quantitative methods sequence that is required for all of our graduate students: Advanced Data Analysis for the Social Science. Sociology departments around the country all have a pretty similar required sequence. In teaching the course this time, I tried to modernize it so that it would train students for the future (not just the present or the past).

One big aspect of this modernization was requiring students to complete a project where they replicate and extend an already published paper. Overall, this change was a big success, and I’d recommend that other classes also try it. In this post, I’ll share some of what worked about the project and how I will do it better next time. I’ve also made all of the materials that we’ve used available on the class website.

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