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."

Elsevier Enriches Articles With Research Data Sets Elsevier and PANGAEA (Publishing Network for Geoscientific & Environmental Data) announced their next step in interconnecting the diverse elements of scientific research. Elsevier articles at ScienceDirect are now enriched with graphical information linking to associated research data sets that are deposited at PANGAEA.

Abstract "Research libraries have sought to apply their information management expertise to the management of digital research data. This focus has been spurred in part by the policies of two major funding agencies in the United States, which require grant recipients make research outputs, including publications and research data, openly available. As many academic libraries are beginning to offer or are already offering assistance in writing and implementing data management plans, it is important to consider how best to support researchers. Our research examined the current data management requirements of major US funding agencies to better understand data management requirements facing researchers and the implications for libraries offering data management services for researchers."

Abstract: The deluge of scientific research data has excited the general public, as well as the scientific community, with the possibilities for better understanding of scientific problems, from climate to culture. For data to be available, researchers must be willing and able to share them. The policies of governments, funding agencies, journals, and university tenure and promotion committees also influence how, when, and whether research data are shared. Data are complex objects. Their purposes and the methods by which they are produced vary widely across scientific fields, as do the criteria for sharing them. To address these challenges, it is necessary to examine the arguments for sharing data and how those arguments match the motivations and interests of the scientific community and the public. Four arguments are examined: to make the results of publicly funded data available to the public, to enable others to ask new questions of extant data, to advance the state of science, and to reproduce research. Libraries need to consider their role in the face of each of these arguments, and what expertise and systems they require for data curation.

Harvard researchers have developed a tool for analyzing large data sets that detects important relationships in data without prior knowledge of their type. The development comes at a time when researchers are being overwhelmed by the vast amounts of data emerging from their labs, and struggling to make sense of them.

With increased pressure on universities and researchers to preserve research data for re-use in the future, JISC's Research Integrity Conference considered the role of universities in safeguarding research integrity and looked into the real issues being faced by universities from a strategic and technical perspective

Project from 2012, collaboration of UKOLN, University of Bath and Microsoft Research "to assist institutions, research funders and researchers in growing the capability of their communities to perform data intensive research "

See the free executive summary. Digital technologies raise all kinds of issues regarding the validity of research data, standards, restrictions, and preservation. This book seeks to be an essential guide to the principles affecting research data in th

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."

Calls for an inventory of federally-funded research datasets toward better data stewardship

Recently announced NSF requirement (that all grant proposal need to include a Data Management Plan (DMP) shows the importance of digital data as a foundation for the progress of science and replicability of research in the digital age. ..

In this paper we make the case for a scientific data publication model on top of linked data and introduce the notion of Research Objects as first class citizens for sharing and publishing.

University of Washington Provost Ana Mari Cauce has allocated permanent funding to the eScience Institute to stimulate the hiring of faculty members who conduct cutting-edge research on methodologies for data-driven discovery, and whose teaching and outreach will put advanced tools and techniques into the hands of UW's broad base of outstanding researchers.

The University of North Carolina at Chapel Hill School of Information and Library Science has released Research Data Stewardship at UNC: Recommendations for Scholarly Practice and Leadership.

The possibilities offered by the Internet will give researchers and teaching staff broad and easy access to scientific/scholarly sources. It is not only publications that will become available but also the underlying data, models, and algorithms. Adding the underlying data and models to an article makes it easier to verify, reproduce, and re-use the results of research. An article of this kind is referred to as an "enhanced publication

"A Data Curation Profile is a resource for Library and Information Science professionals, Archivists, IT professionals, Data Managers, and others who want information about the specific data generated and used in research areas and sub-disciplines that may be published, shared, and preserved for re-use."

"Objective: This paper describes three different institutional experiences in developing research data management programs and services, challenges/opportunities and lessons learned. Overview: This paper is based on the Librarian Panel Discussion during the 4th Annual University of Massachusetts and New England Region e-Science Symposium."

Enables uploading of datasets with research articles - connection between scholarly pub repositories and data repositories