figshare on open data plans in research→

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It is no longer efficient or sustainable for humans to be the gatekeepers of academic content. Principles must be put in place so that content can still be reused long after the data creators are dead. Content must adhere to ethical and commercial sensitivities where necessary, but with the dawn of research data management plans, the funders of research ultimately decide what level of access society has.

and this snipped from the NIH public access plan:

“NIH intends to make public access to digital scientific data the standard for all NIH-funded research, as well as exploring ways to advance data as a legitimate form of scholarship through data citation and other means.”

Introduction to open science and data management→

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Great overview of some concrete ways to practice open science.

8. Let everyone watch.

Consider going open. That is, do all of your science out in the public eye, so that others can see what you’re up to. One way to do this is by keeping an open notebook. This concept throws out the idea that you should be a hoarder, not telling others of your results until the Big Reveal in the form of a publication. Instead, you keep your lab notebook (you do have one, right?) out in a public place, for anyone to peruse. Most often an open notebook takes the form of a blog or a wiki, and the researcher updates their notebook daily, weekly, or whatever is most appropriate. There are links to data, code, relevant publications, or other content that helps readers, and the researcher themselves, understand the research workflow.

Dorothy Bishop on data sharing→

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But the one thing I've learned as I wiped the egg off my face is that error is inevitable and unavoidable, however careful you try to be. The best way to flush out these errors is to make the data public. This will inevitably lead to some embarrassment when mistakes are found, but at the end of the day, our goal must be to find out what is the case, rather than to save face.