Ixchel M. Faniel, Ph.D.
Senior Research Scientist
Ixchel M. Faniel's research interests include improving how people discover, access and use/reuse content. She is currently examining how academics manage, share and reuse research data and librarians' experiences designing and delivering supportive research data management programs. She also is investigating how science, technology, engineering and mathematics (STEM) students from grade school to grad school identify and judge the credibility of digital resources. Ixchel's research has been funded by the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS) and National Endowment for the Humanities (NEH). Prior to joining OCLC Ixchel worked at the University of Michigan, School of Information, IBM and Andersen Consulting (now Accenture). She graduated from Tufts University with a BS in Computer Science and earned an MBA and Ph.D. in Business Administration at the University of Southern California, Marshall School of Business.
Curriculum vitae (.pdf)
13 January 2020
Tara Tobin Cataldo, Kailey Langer, Amy G. Buhler, Samuel R. Putnam, Rachael Elrod, Ixchel M. Faniel, PhD, Lynn Silipigni Connaway, PhD, Christopher Cyr, PhD, Brittany Brannon, Joyce Kasman Valenza, PhD, Erin M. Hood, Randy A. Graff, PhD
This paper explores how students judge scientific news resources, as they might find through a Google search. The data were collected as part of an Institute of Museum and Library Services (IMLS) funded project.
26 September 2019
Ixchel M. Faniel, Rebecca D. Frank, Elizabeth Yakel
Context is critical for data reuse, and digital curation should include both context and content preservation. Both data producers and curators benefit from expanding context categories to better determine what information is vital to capture and manage during data collection to support data reuse.
Exposing Standardization and Consistency Issues in Repository Metadata Requirements for Data Deposition
1 September 2019
Jihyun Kim, Elizabeth Yakel, Ixchel M. Faniel
In this article in College & Research Libraries Journal, the authors examine common and unique metadata requirements and their levels of description, determined by the data deposit forms of 20 repositories in three disciplines—archaeology, quantitative social science, and zoology.