The following is a version of the text I spoke from at the STEPS 2015 Conference, Resource Politics, at a session on Open Science organised by Valleria Arza, where I spoke along with Ross Mounce and Cindy Regalado. This version is modified slightly in response to comments from the audience. There aren’t too many privileged categories I don’t fall into. White, male, middle class, middle aged, home owner.
Michael Nielsen‘s talk at Science Online was a real eye opener for many of us who have been advocating for change in research practice. He framed the whole challenge of change as an example of a well known problem, that of collective action. How do societies manage big changes when those changes often represent a disadvantage to many individuals, at least in the short term.
The Royal Society is running a public consultation exercise on Science as a Public Enterprise. Submissions are requested to answer a set of questions. Here are my answers. 1. What ethical and legal principles should govern access to research results and data?
Michael Nielsen is a good friend as well as being an inspiration to many of us in the Open Science community. I’ve been privileged to watch and in a small way to contribute to the development of his arguments over the years and I found the distillation of these years of effort into the talk that he recently gave at TEDxWaterloo entirely successful.
When we talk about open research practice, more efficient research communication, wider diversity of publication we always come up against the same problem. What’s in it for the jobbing scientist? This is so prevalent that it has been reformulated at “Singh’s Law” (by analogy with Godwin’s law) that any discussion of research practice will inevitably end when someone brings up career advancement or tenure.
Michael Nielsen asked me to answer some questions about practical approaches to Open Science. You can see my answers up on his blog.
Next Tuesday I’m giving a talk at the Institute for Science Ethics and Innovation in Manchester. This is a departure for me in terms of talk subjects, in as much as it is much more to do with policy and politics. I have struggled quite a bit with it so this is an effort to work it out on “paper”. Warning, it’s rather long.
Issues surrounding the relationship of Open Research and replication seems to be the meme of the week. Abhishek Tiwari provided notes on a debate describing concerns about how open research could damage replication and Sabine Hossenfelder explored the same issue in a blog post.
There has been a lot of recent discussion about the relative importance of Open Source and Open Data (Friendfeed, Egon Willighagen, Ian Davis). I don’t fancy recapitulating the whole argument but following a discussion on Twitter with Glyn Moody this morning [1, 2, 3, 4, 5, 6, 7, 8] I think there is a way of looking at this with a slightly different perspective. But first a short digression.
The second installment of the paper (first part here) where I discuss building tools for Open (or indeed any) Science. Tools for open science – building around the needs of scientists It is the rapid expansion and development of tools that are loosely categorised under the banner of ‘Web2.0’ or ‘Read-write web’ that makes the sharing of research material available.