�ݺ�ߣshows by User: MeganODonnell1

�ݺ�ߣshows by User: MeganODonnell1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: MeganODonnell1 / Thu, 19 Mar 2015 11:32:19 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: MeganODonnell1 Data Management and Broader Impacts: a holistic approach /slideshow/bi-and-data-poster-slide/46044802 bianddataposter-slide-150319113219-conversion-gate01
[please download to view at full resolution] The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences. ]]>
[please download to view at full resolution] The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences. ]]> Thu, 19 Mar 2015 11:32:19 GMT /slideshow/bi-and-data-poster-slide/46044802 MeganODonnell1@slideshare.net(MeganODonnell1) Data Management and Broader Impacts: a holistic approach MeganODonnell1 [please download to view at full resolution] The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bianddataposter-slide-150319113219-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> [please download to view at full resolution] The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences.

Data Management and Broader Impacts: a holistic approach from Megan O'Donnell

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0 An analysis and characterization of DMPs in NSF proposals from the University of Illinois (#RDAP14) /slideshow/an-analysis-and-characterization-of-dmps-in-nsf-proposals-from-the-university-of-illinois/33092394 dmpanalysisrdap2-140403115423-phpapp01
Beginning in July 2011, the University of Illinois at Urbana-Champaign Library, working in conjunction with the campus Office of Sponsored Programs and Research Administration (OSPRA) began an analysis of Data Management Plans (DMPs) in newly submitted National Science Foundation (NSF) grant proposals. The DMP became a required element in all NSF proposals beginning on January, 18th 2011. This analysis was undertaken to provide the Illinois campus and library with detailed information on the DMPs being submitted by Illinois researchers. In particular, the analysis allows us to categorize the grant applicant’s proposed DMP data storage venues and data reuse mechanisms, and provides us with data on the use of DMP templates developed by the University of Illinois Library. ]]>
Beginning in July 2011, the University of Illinois at Urbana-Champaign Library, working in conjunction with the campus Office of Sponsored Programs and Research Administration (OSPRA) began an analysis of Data Management Plans (DMPs) in newly submitted National Science Foundation (NSF) grant proposals. The DMP became a required element in all NSF proposals beginning on January, 18th 2011. This analysis was undertaken to provide the Illinois campus and library with detailed information on the DMPs being submitted by Illinois researchers. In particular, the analysis allows us to categorize the grant applicant’s proposed DMP data storage venues and data reuse mechanisms, and provides us with data on the use of DMP templates developed by the University of Illinois Library. ]]> Thu, 03 Apr 2014 11:54:23 GMT /slideshow/an-analysis-and-characterization-of-dmps-in-nsf-proposals-from-the-university-of-illinois/33092394 MeganODonnell1@slideshare.net(MeganODonnell1) An analysis and characterization of DMPs in NSF proposals from the University of Illinois (#RDAP14) MeganODonnell1 Beginning in July 2011, the University of Illinois at Urbana-Champaign Library, working in conjunction with the campus Office of Sponsored Programs and Research Administration (OSPRA) began an analysis of Data Management Plans (DMPs) in newly submitted National Science Foundation (NSF) grant proposals. The DMP became a required element in all NSF proposals beginning on January, 18th 2011. This analysis was undertaken to provide the Illinois campus and library with detailed information on the DMPs being submitted by Illinois researchers. In particular, the analysis allows us to categorize the grant applicant’s proposed DMP data storage venues and data reuse mechanisms, and provides us with data on the use of DMP templates developed by the University of Illinois Library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dmpanalysisrdap2-140403115423-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Beginning in July 2011, the University of Illinois at Urbana-Champaign Library, working in conjunction with the campus Office of Sponsored Programs and Research Administration (OSPRA) began an analysis of Data Management Plans (DMPs) in newly submitted National Science Foundation (NSF) grant proposals. The DMP became a required element in all NSF proposals beginning on January, 18th 2011. This analysis was undertaken to provide the Illinois campus and library with detailed information on the DMPs being submitted by Illinois researchers. In particular, the analysis allows us to categorize the grant applicant’s proposed DMP data storage venues and data reuse mechanisms, and provides us with data on the use of DMP templates developed by the University of Illinois Library.

An analysis and characterization of DMPs in NSF proposals from the University of Illinois (#RDAP14) from Megan O'Donnell

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0 https://cdn.slidesharecdn.com/profile-photo-MeganODonnell1-48x48.jpg?cb=1527173782 https://cdn.slidesharecdn.com/ss_thumbnails/bianddataposter-slide-150319113219-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bi-and-data-poster-slide/46044802 Data Management and Br... https://cdn.slidesharecdn.com/ss_thumbnails/dmpanalysisrdap2-140403115423-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/an-analysis-and-characterization-of-dmps-in-nsf-proposals-from-the-university-of-illinois/33092394 An analysis and charac...