"Best Practices and Models for Sustainability for Robust Cyberinfrastructure Software” - Survey Dataset and Analyses

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dc.contributor.authorWernert, Julie
dc.contributor.authorWernert, Eric
dc.contributor.authorFischer, Jeremy
dc.contributor.authorTerhune, Heather
dc.contributor.authorBowers, Ashley
dc.contributor.authorMiller, Therese
dc.contributor.authorStewart, Craig A.
dc.date.accessioned2014-02-17T18:31:59Z
dc.date.available2014-02-17T18:31:59Z
dc.date.issued2014-02-14
dc.descriptionPlease direct any questions regarding the data, data collection, methods used in the administration of this survey and/or the summarization of responses provided in this document (or the corresponding report) to Julie Wernert at Indiana University, jwernert@iu.edu.
dc.description.abstractThis document represents the data (and associated analysis) collected in the 2012 Software Sustainability Survey, conducted as part of the National Science Foundation EAGER grant (NSF Award #1147606, PI Craig Stewart, et al.) entitled “Best Practices and Models for Sustainability for Robust Cyberinfrastructure Software.” The survey aimed to identify the best practices and models required for developing, deploying, and supporting robust, sustainable cyberinfrastructure software, as well as to identify key factors users consider in software adoption. Further, the survey attempted to aggregate attitudes about the importance of sustained software in scientific research.
dc.description.sponsorshipNational Science Foundation
dc.identifier.urihttps://hdl.handle.net/2022/17312
dc.language.isoen_US
dc.rightsCopyright 2014 by the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectopen-source software, cyberinfrastructure, sustainability, engineering, reusability, adoption, development, NSF, dataset, EAGER
dc.title"Best Practices and Models for Sustainability for Robust Cyberinfrastructure Software” - Survey Dataset and Analyses
dc.typeDataset

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