Group items tagged

"The data underlying scientific papers should be accessible to researchers both now and in the future, but how best can we ensure that these data are available? Here we examine the effectiveness of four approaches to data archiving: no stated archiving policy, recommending (but not requiring) archiving, and two versions of mandating data deposition at acceptance. We control for differences between data types by trying to obtain data from papers that use a single, widespread population genetic analysis, STRUCTURE. At one extreme, we found that mandated data archiving policies that require the inclusion of a data availability statement in the manuscript improve the odds of finding the data online almost a thousand-fold compared to having no policy. However, archiving rates at journals with less stringent policies were only very slightly higher than those with no policy at all. At one extreme, we found that mandated data archiving policies that require the inclusion of a data availability statement in the manuscript improve the odds of finding the data online almost a thousand fold compared to having no policy. However, archiving rates at journals with less stringent policies were only very slightly higher than those with no policy at all. We also assessed the effectiveness of asking for data directly from authors and obtained over half of the requested datasets, albeit with about 8 days delay and some disagreement with authors. Given the long term benefits of data accessibility to the academic community, we believe that journal based mandatory data archiving policies and mandatory data availability statements should be more widely adopted."

"Long-term preservation and stewardship of scientific data and research-related information are vitally important to future science and scholarship. Scientific data archives can offer capabilities for managing and preserving disciplinary and interdisciplinary data for research, education, and decision-making activities of future communities of users. Meeting the requirements for a trusted digital repository will help to ensure that today's collections of scientific data will be available in the future. A continuing self-assessment of a long-term archive for interdisciplinary scientific data is being conducted to identify the additional steps needed for it to become a trustworthy repository. Recommendations include a strategy for collaborative organizational sustainability, a model for submission and workflow to ingest interdisciplinary scientific data into a repository, and a plan for facilitating intra-organizational transfer between repositories."

authors were most likely to share data if they had prior experience sharing or reusing data, if their study was published in an open access journal or a journal with a relatively strong data sharing policy, or if the study was funded by a large number of NIH grants. Authors of studies on cancer and human subjects were least likely to make their datasets available.

"Conclusion. After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered. We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003."

Scientific Data Sharing and Archiving at UC3/CDL: the Excel Add-in Project and More John Kunze, California Digital Library/California Curation Center and Tricia Cruse, California Digital Library/California Curation Center

"Contributed articles illustrate both challenges and innovations in implementing linked data"

In an edited excerpt from his new book, Too Big to Know, David Weinberger explains how the massive amounts of data necessary to deal with complex phenomena exceed any single brain's ability to grasp, yet networked science rolls on.

Excerpt: "will involve the use of an ecosystem of interacting web-based resources, including the infrastructure provided by the Virtual Observatory, data provisioning services from Astronomy archives, a variety of analysis services such as Astrometry.net, notification services such as skyalert.org, and visualization services such as CDS's Aladin and Microsoft's WorldWideTelescope."

Rich Results is a book search algorithm takes into account more than 100 "signals," individual data categories that Google statistically integrates to rank your results. When you search for a book, Google Books doesn't just look at word frequency or how closely your query matches the title of a book. They now take into account web search frequency, recent book sales, the number of libraries that hold the title, and how often an older book has been reprinted.

Challenges in data archiving and retrieval

Conference to be held at April 25-28, 2013 York University, Toronto, Canada. Deadline for submissions is November 12, 2012. Including the following topics: libraries and preservation in 2023; digital traces and archives new publics, movements going global and communities of the future manifestos for the next generation new stories for new screens: e-literatures, immersive/augmented worlds, future cinema, games ways of working - methodologies, code, communities, funding future classrooms, curricula, and pedagogies maker movements; -- tools we haven't built yet, but that we desperately need visualization and data-driven futures mobility, future city spaces, built and liquid architectures crowdsourcing (and/in) the future teleologies and their discontents new and imagined creative practices