This DataONE OpenWetWare site contains informal notes for several research projects funded through DataONE. DataONE is a collaboration among many partner organizations, and is funded by the US National Science Foundation (NSF) under a Cooperative Agreement.
<!-- sibboleth --><div id="lncal1" style="border:0px;"><div style="display:none;" id="id">lncal1</div><div style="display:none;" id="dtext">06/04/2010,06/08/2010,06/09/2010,06/10/2010,06/14/2010,06/16/2010,06/17/2010,06/17/2010,06/25/2010,06/29/2010,07/07/2010,07/08/2010,07/13/2010,07/08/2010,07/13/2010,07/19/2010,07/20/2010,07/22/2010,07/23/2010,07/26/2010,07/27/2010</div><div style="display:none;" id="page">DataONE:Notebook/Summer 2010</div><div style="display:none;" id="fmt">yyyy/MM/dd</div><div style="display:none;" id="css">OWWNB</div><div style="display:none;" id="month"></div><div style="display:none;" id="year"></div><div style="display:none;" id="readonly">Y</div></div>
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DataONE summer internship program
DataONE has a summer internship program in 2010:
The internship program is funded by INTEROP: Creation of an International Virtual Data Center for the Biodiversity, Ecological and Environmental Sciences (US National Science Foundation (NSF) award #0753138, and the Data Observation Network for Earth (DataONE) NSF award #0830944 under a Cooperative Agreement.
The DataONE summer internship includes several projects. Interns in the Data Citation Practices subproject, described below, are documenting their progress openly on this OWW site.
Project: Study of Data Citation Practices and Data Management Plans
Scientists in the academic workplace rely on publishing in peer reviewed journals and the citations to their work help gain tenure and promotion. Research funding for scientists is increasingly tied to requirements for data management plans. Barriers to data sharing exist in both of these areas: the lack of common standards or practices for data citation to ensure scientists are recognized for their work in collecting and compiling datasets; and the lack of understanding about what makes an effective data management plan. This project will study current levels of data citation and acknowledgment practices, as well as current efforts for the creation and evaluation of data management plans in earth and environmental sciences. In addition, it will compile relevant best practices in both areas and make recommendations for best practices now and into the future. Anticipated products include the an analysis of citation and data reference practices, a review of existing materials on barriers to data sharing and reuse, an initial draft of a paper suitable for publication in a peer-reviewed journal analyzing sharing and reuse barriers, and informational materials suitable for use by scientists to describe best practices (including a listing of exemplar data management plans).
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