Water, water, everywhere : Defining and assessing data sharing in academia

Van Tuyl, Steven; Whitmire, Amanda L.

Citeable URL: https://ir.library.oregonstate.edu/concern/articles/9593tw93h

Descriptions

Attribute Name	Values
Creator	Van Tuyl, Steven Whitmire, Amanda L.
Abstract	Sharing of research data has begun to gain traction in many areas of the sciences in the past few years because of changing expectations from the scientific community, funding agencies, and academic journals. National Science Foundation (NSF) requirements for a data management plan (DMP) went into effect in 2011, with the intent of facilitating the dissemination and sharing of research results. Many projects that were funded during 2011 and 2012 should now have implemented the elements of the data management plans required for their grant proposals. In this paper we define ‘data sharing’ and present a protocol for assessing whether data have been shared and how effective the sharing was. We then evaluate the data sharing practices of researchers funded by the NSF at Oregon State University in two ways: by attempting to discover project-level research data using the associated DMP as a starting point, and by examining data sharing associated with journal articles that acknowledge NSF support. Sharing at both the project level and the journal article level was not carried out in the majority of cases, and when sharing was accomplished, the shared data were often of questionable usability due to access, documentation, and formatting issues. We close the article by offering recommendations for how data producers, journal publishers, data repositories, and funding agencies can facilitate the process of sharing data in a meaningful way.
Resource Type	Article
DOI	https://doi.org/10.1371/journal.pone.0147942
Date Available	2015-09-23T15:39:11+00:00
Date Issued	2015-09-23
Journal Title	PLoS ONE
Non-Academic Affiliation	Oregon State University. Libraries
权利声明	In Copyright
Related Items	Related dataset: Van Tuyl, Steve and Amanda L. Whitmire (2015). Data from: Water, water everywhere: Defining and assessing data sharing in academia. Dataset. Oregon State University.
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/57239

蹄兔

Water, water, everywhere : Defining and assessing data sharing in academia

Descriptions

关联

单件

蹄兔

Water, water, everywhere : Defining and assessing data sharing in academia

可下载的内容

Descriptions

关联

单件