"As we are actively figuring out the balance between transparency and collaboration in research, we thought it was worth reaching out to six of our colleagues who have thought extensively about OS. We hope that additional scientists will weigh in with further insight regarding this balance not only in human brain mapping, but also in other scientific fields.
Specifically, we asked them: What are the main challenges in moving toward Open Science and how can we meet them? Here are their responses:
Kirstie Whitaker (University of Cambridge, Department of Psychiatry):
“Change is coming. Before we continue, let’s define some terms for potential readers: Open Science is an umbrella term that can mean different things to different people. Open access research allows everyone to learn from scientific work (particularly that paid for by the tax payer). Open educational resources mean we don’t re-invent the wheel when we teach others about our work. Open source materials are ones that allow you to see inside, and improve, the black box. Open dataallows researchers to verify our work, and conduct analyses that could not be carried out by one group alone.
Open Science also means open to everyone. We can use the power of curious non-experts through Citizen Science projects. The Open Neuroimaging Laboratory was a finalist for the Open Science Prizeand sought to “lower the barriers for researchers, students, and citizen scientists to help scientific discovery”. We can look to other neuroscience projects such as Eye Wire and FoldIt for inspiration in the future.
Finally, Open Science means open for all. Whose voices are not currently represented well in our field of study? Who is not advancing to tenured positions? How do we ensure that researchers in the developing world are able to contribute to our quest to understand the human brain? All of the open practices above facilitate the inclusion of under-represented minorities, but it will require ongoing focus and consideration to create an equitable community. That’s my biggest challenge: addressing my implicit (and explicit) biases to ensure we have bigger, better and more diverse ideas in the future.
I would like to live in a world where helping to advance the boundary of scientific knowledge is rewarded through new findings and by confirming (or not) already published results irrespective of who owns the data.”"
