@article {9998,
	title = {Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative},
	journal = {International Journal of Digital Curation},
	volume = {16},
	year = {2021},
	month = {04/2021},
	abstract = {<p>DataONE, funded from 2009-2019 by the U.S. National Science Foundation, is an early example of a large-scale project that built both a cyberinfrastructure and culture of data discovery, sharing, and reuse. DataONE used a Working Group model, where a diverse group of participants collaborated on targeted research and development activities to achieve broader project goals. This article summarizes the work carried out by two of DataONE{\textquoteright}s working groups: Usability \&amp; Assessment (2009-2019) and Sociocultural Issues (2009-2014). The activities of these working groups provide a unique longitudinal look at how scientists, librarians, and other key stakeholders engaged in convergence research to identify and analyze practices around research data management through the development of boundary objects, an iterative assessment program, and reflection. Members of the working groups disseminated their findings widely in papers, presentations, and datasets, reaching international audiences through publications in 25 different journals and presentations to over 5,000 people at interdisciplinary venues. The working groups helped inform the DataONE cyberinfrastructure and influenced the evolving data management landscape. By studying working groups over time, the paper also presents lessons learned about the working group model for global large-scale projects that bring together participants from multiple disciplines and communities in convergence research.</p>},
	doi = {10.2218/ijdc.v16i1.678 },
	author = {Robert J. Sandusky and Suzie Allard and Lynn Baird and Leah Cannon and Kevin Crowston and Amy Forrester and Bruce Grant and Rachael Hu and Robert Olendorf and Danielle Pollock and Alison Specht and Carol Tenopir and Rachel Volentine}
}
@article {9999,
	title = {Attitudes and norms affecting scientists{\textquoteright} data reuse},
	journal = {PLoS ONE},
	volume = {12},
	year = {2017},
	chapter = {e0189288},
	abstract = {The value of sharing data comes partly from the data{\textquoteright}s being reused by other scientists, but questions regarding attitudes and norms that predict scientists{\textquoteright} data reuse remain open. We test the relationship between scientists{\textquoteright} beliefs and attitudes towards data reuse and their self-reported data reuse behaviour using responses to selected questions from a worldwide survey developed and administered by the DataONE Usability and Assessment Working Group. The data suggest first that data sharing and data reuse are largely separate phenomena. Second, the perceived efficacy of data reuse for answering research questions was found to be one of the strongest predictors of reuse behaviour. On the other hand, expressed lack of trust in reused data and perceived norms against data reuse did not seem to deter respondents from reuse. Finally, reported use of models and remote-sensed data was associated with more reuse. The results suggest that data reuse would be encouraged by demonstrations of the value and addressing norms about this practice. 
},
	doi = {10.1371/journal.pone.0189288},
	attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/PONE\%20to\%20share.pdf},
	author = {Renata G. Curty and Kevin Crowston and Alison Specht and Bruce Grant and Elizabeth D. Walton}
}
