“Blogs and tweets are ripping papers apart within days of publication, leaving researchers unsure how to react.”
In case you missed it; Apoorva Mandavilli has a thoughtful article in Nature on the sometimes difficult transition scientists and publishers have to the rapid and very public criticism of and debate on scientific papers in social media.
Highlighting the need for new cultural norms, the article notes “For many researchers, the pace and tone of this online review can be intimidating — and can sometimes feel like an attack. How are authors supposed to respond to critiques coming from all directions? Should they even respond at all? Or should they confine their replies to the conventional, more deliberative realm of conferences and journals? “The speed of communication is ahead of the sheer time needed to think and get in the lab and work,” said Felisa Wolfe-Simon, a post-doctoral fellow at the NASA Astrobiology Institute in Mountain View, California, and the lead author on the arsenic paper. Aptly enough, she circulated that comment as a tweet on Twitter, which is used by many scientists to call attention to longer articles and blog posts.”
Why Can’t We Just Share all
Genomics and Clinical Data?
A Summit on Human Data Interoperability
Join us for an exciting discussion about emerging opportunities to develop tools and infrastructure to collate, share, and mine human genomic/clinical data. Participants from Sage Bionetworks, DARPA/DSO, Stanford University, Columbia University, Creative Commons, Clinical Semantics Group, and UCSF.
Monday January 31st, 2011, 11:30 AM – 4:45 PM Lunch Provided
Pelton Auditorium, Weintraub Building, Hutchinson Cancer Research Center, Seattle WA
Background: We are undergoing a revolution in the understanding of human disease and physiology that will have a profound impact on our whole civilization. This transformation is driven by an explosion of genomic/clinical data from emerging technologies but faces substantial challenges and barriers. Research groups around the US and the world are currently unable to reliably; 1) store, manage, access, transfer, and organize biomedical data in ways that facilitate data mining, 2) optimally integrate the genomic data with other types of molecular and higher order data to get at the most predictive models, and 3) couple the rich molecular data sources with electronic medical records, which can provide detailed clinical information critical to getting to actionable results. A primary cause of these deficiencies is a lack of effective methods for these tasks.
PLEASE RSVP or for more information contact: email@example.com
Attendance Limited to the first 150
Summit Agenda and Introduction: http://bit.ly/i96S8S