Museums face steady demand for images of artworks from their collections, and they typically provide a service of making and delivering high-resolution images o

I've just returned from the International Conference on Biomedical Ontology  (ICBO) which is the biggest conference in the field of bio-onto...

I argue that requiring authors to post the raw data supporting their published results has, among many other benefits, that of making fraud much less likely to

"One effect of passing laws requiring standardized, digital data is to marginalize all data that can’t be standardized or digitized, and to marginalize the people who don’t control the process of standardization."

Envy those who succeed by making up their data? Here's how you can, too!

The mission of this project is to help researchers to "discover more, faster" by initiating an open data-sharing project within the [child-]developmental science community.

This paper describes a protocol we have developed for teaching undergraduates to document the statistical analysis they do for empirical research projects in su

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.

NOAA's data-management wiki. Includes data-management guidelines and best practices.

In silicon valley, it’s no longer the software engineer who’s the rock star -– it’s the data scientist. For startups such as Kaggle, which aims to solve big-data problems, that means a golden opportunity

One-stop-shopping for statistics and raw data in social science disciplines.

Can a disruptive molecular biologist and the leading company in the Hadoop ecosystem make medical research change its methodologies for the better?

Distorted claims about new medicines that exaggerate efficacy and minimize negative side effects seem to be on the increase. What can we do about it? One answer is transparency and openness.

This paper present some indications of the existence of a Citation Advantage related to linked data, using astrophysics as a case. Using simple measures, I find that the Citation Advantage presently (at the least since 2009) amounts to papers with links to data receiving on the average 50% more citations per paper per year, than the papers without links to data. A similar study by other authors should a cummulative effect after several years amounting to 20%. Hence, a Data Sharing Citation Advantage seems inevitable.