Refereed Journal Articles

 

Sholler, D. (2020). Infrastructuring as an Occasion for Resistance: Organized resistance to policy-driven information infrastructure development in the U.S. healthcare industry. Computer Supported Cooperative Work, vol. TBD, DOI 10.1007/s10606-020-09375-z.

Sholler, D., Steinmacher, I., Ford, D., Averick, M., Hoye, M., and Wilson, G. (2019). Ten simple rules for helping newcomers become contributors to open source projects. PLOS Computational Biology, 15 (9), e1007296.. Editor's Pick: PLOS Open Source Toolkit October 2019. Equal contribution from bolded authors. Available at: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007296.

Sholler, D., Ram, K., Boettiger, C., and Katz, D.S. (2019). Enforcing public data archiving policies in academic publishing: A study of ecology journals. Big Data & Society, 6(1), 1-18. Available at https://journals.sagepub.com/doi/full/10.1177/2053951719836258.

Bailey, D.E., Diniz, E.H., Nardi, B.A., Leonardi, P.M., and Sholler, D. (2018). A critical approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system. Information and Organization, 28(3), 111-128.

Leonardi, P.M., Diniz, E.H., Bailey, D.E., Sholler, D., and Nardi, B.A. (2016). Multiplex appropriation in complex systems implementation: The case of Brazil’s correspondent banking system. MIS Quarterly, 40(2), 461-473.

Carter, D., and Sholler, D. (2016). Data science on the ground: Hype, criticism, and everyday work. Journal of the Association for Information Science and Technology (JASIST), 67(10), 2309-2319.

Diniz, E. H., Bailey, D. E., and Sholler, D. (2014). Achieving ICT4D project success by altering context, not technology. Information Technologies & International Development, 10(4), 15-29.

Sheehan, M. J., Sholler, D., & Tibbetts, E. A. (2014). Specialized visual learning of facial signals of quality in the paper wasp, Polistes dominula. Biological Journal of the Linnean Society, 113(4), 992-997.

Book Chapter

Sholler, D., Bailey, D.E., and Rennecker, J. (2016). Big Data in medicine: Potential, reality, and implications. In Sugimoto, C.R., Ekbia, H., and Mattioli, M. (Eds.), Big Data is Not a Monolith. Cambridge, MA: MIT Press.

Refereed Conference Proceedings

Sholler, D. (2019). “Invisible work” a lens for understanding humanware’s role in research cloud computing: Evidence from an interview-based study. In Proceedings of Humans in the Loop: Enabling and Facilitating Research on Cloud Computing, Practice and Experience in Advanced Research Computing (PEARC) Conference, July 29, 2019, Chicago, IL. ACM, 

Carter, D., Sholler, D., and Acker, A. (2019). A little antagonism might be nice: Investigation in information science. iConference 2019, BlueSky Papers, March 31-April 3, Washington, D.C. Available at: bit.ly/AntagInfoSci

Sholler, D. (2016). Resistance to mandatory technology use: The case of EMR in the United States healthcare industry. 10th Annual Mediterranean Conference on Information Systems, September 4-6, Paphos, Cyprus. Available at: bit.ly/ShollerMCIS

Stratton, C., Sholler, D., Leonardi, P.M., Bailey, D.E., and Rodriguez-Lluesma, C. (2016). Competing institutional logics in ICT4D education projects: A South American study. Eighth International Conference on Information and Communication Technologies and Development (ICTD2016), Paper 12, June 3-6, Ann Arbor, MI. Availabe at: bit.ly/ICT4Dlogics

Sholler, D., and Stratton, C. (2015). Managing without authority: Records managers in interorganizational contexts. In Proceedings of the iConference, March 20-23, Newport Beach, CA. Available at: bit.ly/MWauthority

Diniz, E. H., Bailey, D. E., Dailey, S. L., and Sholler, D. (2013). Bridging the ICT4D design-actuality gap: “Human ATMs” and the provision of financial services for “humble people.” In International Conference on Information Resources Management (Conf-IRM) 2013 Proceedings, Paper 13, May 22-24, Natal, Brazil. Available at: bit.ly/humanATM

Refereed Conference Presentations

Sholler, D. (2018). Barriers and facilitators in the data publishing process: Evidence from an interview-based study of journal data publication. In INS 17: What is keeping you from publishing your data? Ecological Society of America Annual Meeting, August 5-10, 2018, New Orleans, LA.

Buchanan, S., Bullard, J., Aspray, W., Bailey, D.E., Barker, L., Carter, D., Clement, T., Gottschlich, N., Howison, J., McLaughlin, S., Ocepek, M., Sholler, D., Trace, C. (2017). Collaborative Syllabus Design for Studying Information Work. 80th Annual Meeting of the Association for Information Science and Technology, October 27-November 1, 2017, Washington, D.C., USA.

Sholler, D., and Bailey, D.E. (2016). Big Data technology implementations: Structural, agential, and social influences on organizational outcomes (sub theme 63, Digital transformations: Technology, organization, and governance in the Algorithmic Age). 32nd European Group for Organization Studies (EGOS) Colloquium, July 7-9, Naples, Italy.

Sholler, D., Leonardi, P.M., Diniz, E.H., Bailey, D.E., and Nardi, B. (2015). Is all institutional work intentional? Administrative, cognitive, and social work in the Brazilian correspondent banking system. Academy of Management Meeting, Organizational Communication and Information Systems (OCIS) Division, Discussion Paper 18808, August 9-11, Vancouver, BC, Canada.

Preprints

Sholler, D., Das, D., Hoces de la Guardia, F., Hoffman, C., Lanusse, F., Varoquaux, N. … Stoudt, S. (2019). Best practices for managing turnover in data science groups, teams, and labs. Preprint available at: https://osf.io/preprints/socarxiv/wsxru/

Sholler, D., Stoudt, S., Kennedy, C. J., Hoces de la Guardia, F., Lanusse, F., Ram, K., … van der Walt, S. (2019, March 13). Resistance to Adoption of Best Practices. Preprint available at: https://osf.io/preprints/socarxiv/qr8cz/

 

Geiger, R. S.*, Sholler, D., Culich, A., Martinez, C., Hoces de la Guardia, F., Lanusse, F., … van der Walt, S. (2018). Challenges of doing data-intensive research in teams, labs, and groups: Report from the BIDS Best Practices in Data Science Series. Preprint available at: https://osf.io/preprints/socarxiv/a7b3m/