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Data & eScience Group: Article Discussion

A discussion group at Yale for issues relating to data, science, and research support across disciplines.


Assante, M. et al. (2016). Are Scientific Data Repositories Coping with Research Data Publishing? Data Science Journal, 15:6. 1–24. doi: doi:10.5334/dsj-2016-006

Basken, P. (2016, August 4). Researchers Push Back Against Journals’ Demands That Medical Data Be Shared. Chronicle of Higher Education. Washington, D.C. Retrieved from

Carlson, J. (2012). Demystifying the data interview. Reference Services Review, 40(1), 7–23. doi:10.1108/00907321211203603

Cragin, M. H., Palmer, C. L., Carlson, J. R., & Witt, M. (2010). Data sharing, small science and institutional repositories. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 368(1926), 4023–38. doi:10.1098/rsta.2010.0165

Expanding Public Access to the Results of Federally Funded Research. (2013). Washington, D.C. Retrieved from

Fowler, R. (2016). Embracing open data in field-driven sciences. Eos, 97. doi:10.1029/2016EO047789  

Gezelter, J. D., Source, O., Data, O., Be, S., & Practices, S. (2015). Open Source and Open Data Should Be Standard Practices. The Journal of Physical Chemistry Letters, 6(7), 1168–1169. doi:10.1021/acs.jpclett.5b00285

Hansn, K., Bakker, T., Svirsky, M., Neuman, A., & Rambo, N. (2013). Informationist role: clinical data management in auditory research. Journal of eScience Librarianship, 2(1), 25–29. doi:10.7191/jeslib.2013.1030

Höffler, J. H. (2017). ReplicationWiki: Improving transparency in social sciences research. D-Lib Magazine, 23(3/4). doi:10.1045/march2017-hoeffler

Johnson, L., Adams Becker, S., Estrada, V., & Freeman. (2015). The NMC Horizon Report: 2015 Library Edition. Austin, Texas.

Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC Horizon Report: 2014 Library Edition. Austin, Texas. Retrieved from

Krumholz, H. M., & Waldstreicher, J. (2016). The Yale Open Data Access (YODA) Project — A Mechanism for Data Sharing. New England Journal of Medicine, 375(5), 403–405. doi:10.1056/NEJMp1607342

Lausch, A., Schmidt, A., & Tischendorf, L. (2015). Data mining and linked open data – New perspectives for data analysis in environmental research. Ecological Modelling, 295, 5–17. doi:10.1016/j.ecolmodel.2014.09.018

Mayernik, M. S. (2017). Open data: Accountability and transparency. Big Data & Society, 4(2). doi:10.1177/2053951717718853

McNutt, M., Lehnert, K., Hanson, B., Nosek, B. A., Ellison, A. M., & King, J. L. (2016). Liberating field science samples and data. Science, 351(6277), 1024–1026. doi:10.1126/science.aad7048 

Palmer, C. L., Weber, N. M., & Cragin, M. H. (2011). The analytic potential of scientific data: Understanding re-use value. Proceedings of the American Society for Information Science and Technology, 48(1), 1–10. doi:10.1002/meet.2011.14504801174

Pinfield, S., Cox, A. M., & Smith, J. (2014). Research data management and libraries: relationships, activities, drivers and influences. PloS One, 9(12), e114734. doi:10.1371/journal.pone.0114734

Renaut, S., Budden, A., Gravel, D., Poisot, T., & Peres-Neto, P. (2018). Data management, archiving, and sharing for biologists and the role of research institutions in the technology-oriented age. Bioscience, 68(6), 400-411. doi:10.1093/biosci/biy038

Roche, D. G., Lanfear, R., Binning, S. A., Haff, T. M., Schwanz, L. E., Cain, K. E., … Kruuk, L. E. B. (2014). Troubleshooting public data archiving: suggestions to increase participation. PLoS Biology, 12(1), e1001779. doi:10.1371/journal.pbio.1001779

Sadiq, S., & Indulska, M. (2017). Open data: Quality over quantity. International Journal of Information Management, 37(3), 150–154. doi:10.1016/j.ijinfomgt.2017.01.003

Sallans, A., & Donnelly, M. (2012). DMP Online and DMPTool: Different Strategies Towards a Shared Goal. International Journal of Digital Curation, 7(2), 123–129. doi:10.2218/ijdc.v7i2.235

Shen, Y. (2018). Data sharing practices, information exchange behaviors, and knowledge discovery dynamics: a study of natural resources and environmental scientists. Environmental Systems Research, 6(1), 9. doi:10.1186/s40068-017-0086-5 

Soyka, H., Budden, A., Hutchison, V., Bloom, D., Duckles, J., Hodge, A., … Wright, S. (2017). Using Peer Review to Support Development of Community Resources for Research Data Management. Journal of eScience Librarianship, e1114. doi:10.7191/jeslib.2017.1114

Surkis, A., LaPolla, F. W. Z., Contaxis, N., & Read, K. B. (2017). Data Day to Day: Building a community of expertise to address data skills gaps in an academic medical center. Journal of the Medical Library Association: JMLA, 105(2), 185–191. doi:10.5195/jmla.2017.35

Vines, T., Andrew, R., & Bock, D. (2013). Mandated data archiving greatly improves access to research data. The FASEB Journal. doi:10.1096/fj.12-218164

Vines, T. H., Albert, A. Y. K., Andrew, R. L., Débarre, F., Bock, D. G., Franklin, M. T., … Rennison, D. J. (2013). The Availability of Research Data Declines Rapidly with Article Age. Current Biology, 20, 1–4. doi:10.1016/j.cub.2013.11.014

Waller, L. A., & Miller, G. W. (2016). More than Manuscripts: Reproducibility, Rigor, and Research Productivity in the Big Data Era. Toxicological Sciences, 149(2), 275–276. doi:10.1093/toxsci/kfv330

Wang, M., & Fong, B. L. (2015). Embedded Data Librarianship: A Case Study of Providing Data Management Support for a Science Department. Science & Technology Libraries, 34(3), 228–240. doi:10.1080/0194262X.2015.1085348

Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. doi:10.1038/sdata.2016.18

Williams, S. C. (2013). Using a Bibliographic Study to Identify Faculty Candidates for Data Services. Science & Technology Libraries, 32(2), 202–209. doi:10.1080/0194262X.2013.774622

Wittenberg, Jamie, and Mary Elings. 2017. Building a Research Data Management Service at the University of California, Berkeley. IFLA Journal 43(1): 89–97. doi:10.1177/0340035216686982 

Van Tuyl, Steven, and Amanda L. Whitmire. 2016. Water, Water, Everywhere: Defining and Assessing Data Sharing in Academia. PLOS ONE 11(2): e0147942. doi:10.1371/journal.pone.0147942

We have a Mendeley group used to share interesting and relevant citations among our community of practice. You can visit the page for the group here: Data & eScience Group at Yale. If you have a Mendeley account, feel free to follow the group!

How to Use this Page

  • DaEG discusses articles every other time we meet, rotating with presentations.
  • The Mendeley group contains potential articles for discussion. You can submit article suggestions to Kayleigh Bohémier.
  • Articles previously discussed provide an idea of the topics of interest to DaEG members.

Contact Info

The current (unofficial) organizer of DaEG is Kayleigh Bohémier (email). She can answer questions about the group.

Join the mailing list here to be informed of upcoming readings and meetings:

For information about research data management, please contact Data Librarian Barbara Esty (email). The Research Data Support Services group (RDSS) is also available for consultation on the form on their web site: