@article {2023,
	title = {A decade of surveys on attitudes to data sharing highlights three factors for achieving open science},
	year = {2023},
	month = {08/2023},
	type = {Blog},
	url = {https://blogs.lse.ac.uk/impactofsocialsciences/2023/08/22/a-decade-of-surveys-on-attitudes-to-data-sharing-highlights-three-factors-for-achieving-open-science/},
	author = {Joshua Borycz and Alison Specht and Kevin Crowston}
}
@article {2023,
	title = {Surveys Provide Insight Into Three Factors That Encourage Open Data and Science},
	year = {2023},
	month = {9/2023},
	type = {Blog},
	url = {https://www.socialsciencespace.com/2023/09/surveys-provide-insight-into-three-factors-that-encourage-open-data-and-science/},
	author = {Joshua Borycz and Alison Specht and Kevin Crowston}
}
@article {9999,
	title = {Interdisciplinary collaboration from diverse science teams can produce significant outcomes},
	journal = {PLoS ONE},
	volume = {17},
	year = {2022},
	chapter = {e0278043},
	abstract = {<p>Scientific teams are increasingly diverse in discipline, international scope and demographics. Diversity has been found to be a driver of innovation but also can be a source of interpersonal friction. Drawing on a mixed-method study of 22 scientific working groups, this paper presents evidence that team diversity has a positive impact on scientific output (i.e., the number of journal papers and citations) through the mediation of the interdisciplinarity of the collaborative process, as evidenced by publishing in and citing more diverse sources. Ironically these factors also seem to be related to lower team member satisfaction and perceived effectiveness, countered by the gender balance of the team. Qualitative data suggests additional factors that facilitate collaboration, such as trust and leadership. Our findings have implications for team design and management, as team diversity seems beneficial, but the process of integration can be difficult and needs management to lead to a productive and innovative process.</p>},
	doi = {10.1371/journal.pone.0278043},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Interdisciplinary\%20collaboration\%20from\%20diverse\%20science\%20teams\%20can\%20produce\%20significant\%20outcomes.pdf},
	author = {Alison Specht and Kevin Crowston}
}
@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}
}
@article {9999,
	title = {Perceived Discontinuities and Continuities in Transdisciplinary Scientific Working Groups},
	journal = {Science of the Total Environment},
	volume = {534},
	year = {2015},
	pages = {159-172 },
	doi = {10.1016/j.scitotenv.2015.04.121},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/D1\%20Discontinuities\%20to\%20distribute.pdf},
	author = {Kevin Crowston and Alison Specht and Carol Hoover and Chudoba, Katherine M. and Mary Beth Watson-Manheim}
}
