Chemists and economists on OA; open science; social networking and OA

A Duke University program to tailor cancer treatments to certain patterns of genes has ended in disaster and lawsuits.

Climategate resolution. Serious questions about quality of data-handling.

Background Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers – data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results.   Methodology/Principal Findings A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region.   Conclusions/Significance Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.

From InterPARES: An attractive, no-nonsense basic guide, suitable even for luddites.

Title says it all, really...

Potti fraud case. Data didn't support conclusions; clinical trials nearly went forth based on bad science.

The opening installment of this series, about a Sage Commons Congress on the open-source sharing of genetic research, explains the elements of modern research and how collaboration facilitates progress.

We discuss many hurdles that investigators face when sharing their research datasets: cost, credit, and fear of misinterpretation and scooping, to name a few.  I think there is a stealthy hurdle a …

There is almost universal agreement that scientific data should be shared for use beyond the purposes for which they were initially collected. Access to data enables system-level science, expands the instruments and products of research to new communities, and advances solutions to complex human problems. While demands for data are not new, the vision of open access to data is increasingly ambitious. The aim is to make data accessible and usable to anyone, anytime, anywhere, and for any purpose. Until recently, scholarly investigations related to data sharing and reuse were sparse. They have become more common as technology and instrumentation have advanced, policies that mandate sharing have been implemented, and research has become more interdisciplinary. Each of these factors has contributed to what is commonly referred to as the "data deluge". Most discussions about increases in the scale of sharing and reuse have focused on growing amounts of data. There are other issues related to open access to data that also concern scale which have not been as widely discussed: broader participation in data sharing and reuse, increases in the number and types of intermediaries, and more digital data products. The purpose of this paper is to develop a research agenda for scientific data sharing and reuse that considers these three areas.

The website of Bradley M. Kuhn, aka Brad, aka bkuhn.  This site includes his GPG keys, resume, blog, projects list, software, interviews, speeches and writing.

U.S. government agencies are spending boatloads of money on pushing the envelope of massive compute servers, but appear to be ignoring the fact that many research groups have serious data-management problems.

The two Oklahoma-based researchers had left the laptop in the back seat of their car, containing two years of research that, inexplicably, had not been backed up.

Urban Mapping CEO Ian White discusses the changing way that data is being sold, and the move to providing data as a service.

The Culturomics authors released a FAQ  last week that responds to many of the questions floating around about their project. I should, by t...

D-Lib Magazine

D-Lib Magazine

D-Lib Magazine