my research passion
My research passion is understanding the prevalence and patterns of research data sharing and reuse. I hope my work contributes to more efficient and effective research data reuse through improved incentives and mandates.
See dissertation status for details.
My research has been funded by the NIH’s National Library of Medicine (NLM) training grant and the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh. I have also received several travel grants to present my work at conferences. I thank the NLM, DBMI, the National Science Foundation, Duke University, ASIS&T and ASIS&T SIGUSE for their support.
There are many researchers actively discussing open science online. My level of participation varies with the urgency of other commitments (to my detriment: discussions with these online peers are almost always thought-provoking and often result in unexpected opportunities). A good place to start reading and participating is FriendFeed Science 2.0. A superb one-stop source for Open happenings is Peter Suber’s Open Access News blog.
My reading library, with some attempts to tag and cluster, can be found on citeulike. If you are doing related research, I welcome requests for citations I’ve found about a specific area, and I also welcome pointers to your work if you think I might not have seen it. Please get in touch — I’d love to hear from you.
You can take a few steps to make your work more open. It will benefit the community and it will benefit you. Post some slides on slideshare. Upload an article draft to Nature Precedings (most journals do not consider this prepublication). Try publishing something in PLoS ONE or another open-access journal. Submit all your journal articles to PubMed Central if you’ve been funded by the NIH. Post your data on your webpage, before or after publication. Even better, submit it to an open centralized database if one exists for your datatypes. Blog about your experiments. Lobby for your vision of openness. Try it. It isn’t always easy, but I believe it will make research more efficient, effective, and engaging.