This chart is a visualization based on a crowd-sourced Google Spreadsheet that consolidates guidelines from US funding agencies stemming from the Whitehouse Office of Science and Technology Policy's (OSTP) 2013 memo to expand public access to the results of federally funded research. The chart provides an overview of each agency's compliance with policies that are intended to "[open] government data resources" by working towards public access for all research outputs supported by federal funding. (Process Toward Opening Government Data Resources. The White House, 16 Aug. 2013. Web.)   The chart was built using the DCC model for providing an overview of funder data policies. More information can be found through the links below. This document will continue to ‘version’ as contributors update the evolving Google Spreadsheet "OSTP Responses".

This extended editorial explores the growing range of stratagems devised by journal editors to boost their Journal Impact Factor (JIF) and the consequ…

What happens without project management.

Montana State University developed the Research Data Census to engage local research communities in dialogue about their data: size, sharing of resour

This document identifies gaps in existing PID infrastructures, with a focus on ORCID and DataCite Metadata and links between contributors, organizations and artefacts. What prevents us from establishing interoperability and overcoming barriers between PID platforms for contributors, artefacts and organisations, and research solutions for federated attribution, claiming, publishing and direct data access? It goes on to propose strategies to overcome these gaps.

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A huge project unexpectedly led to a way of finding disease genes without needing to know about diseases.

By Elena Colon-Marrero and Allison Hughes On October 14, 2014, Princeton University announced it had acquired the papers of author, emeritus faculty member, and Nobel Laureate Toni Morrison. The pa…

The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

Corporations are increasingly relying on algorithms to make business decisions and that raises new legal questions.

This Perspective addresses questions and concerns that biologists often have about intellectual property rights in research data and how these interact with the deposition or sharing of data.

The Dataverse 4 catalog expands access to research, across many Web platforms, even globally.