Fernando Rios, PhD.
Computing • GIS • Data Management
Work
Some successes can be described as 'failures that you're comfortable with.'
Publications
Murray, M., Rios, F., Erickson, S. 2024. Separating the Data from the CHAFF. Data Curation Network Blog. h702q804n.
Wynhdholds, L., Shimon, H., Rios, F., Misgna, G., Marsolek, W. 2024. Simulations Curation Curriculum. Data Curation Network. hdl:11299/265765.
Oliver J.C., Rios, F., Carini, K., Ly, C. 2022. Data Services at the Academic Library: A Natural History of Horses and Unicorns. Journal of eScience Librarianship 13, 2. doi:10.7191/jeslib.780
Rios, F., Ly, C., 2021. Implementing and Managing a Data Curation Workflow in the Cloud. Journal of eScience Librarianship 10, 3. doi:10.7191/jeslib.2021.1205
Rios, F., Lassere, M., McAllister, K., Ruggill, J., 2020. Sustaining Software Preservation Efforts through Use and Communities of Practice. International Journal of Digital Curation 15, 1. doi:10.2218/ijdc.v15i1.696
Katz, D.S., Bouquin, D., Hong, N.P., Hausman, J., Jones, C., Chivvis, D., Clark, T., Crosas, M., Druskat, S., Fenner, M., Gillespie, T., Gonzalez-Beltran, A., Gruenpeter, M., Habermann, T., Haines, R., Harrison, M., Henneken, E., Hwang, L., Jones, M.B., Kelly, A.A., Kennedy, D.N., Leinweber, K., Rios, F., Robinson, C.B., Todorov, I., Wu, M., Zhang, Q., 2019. Software Citation Implementation Challenges. arXiv:1905.08674 [cs.CY]
Oliver, J.C., Kollen, C.E., Hickson, B.J., Rios, F., 2019. Data Science Support at the Academic Library. Journal of Library Administration. 59, 3. 1-17. doi:10.1080/01930826.2019.1583015
Rios, F., 2018. Incorporating Software Curation into Research Data Management Services: Lessons Learned. International Journal of Digital Curation 13, 1. doi:10.2218/ijdc.v13i1.608
Radio, E., Rios, F., Oliver, J.C., Hickson, B., Wallace, N., 2018. Manifestations of Metadata Structures in Research Datasets and Their Ontic Implications. Journal of Library Metadata. doi:10.1080/19386389.2018.1439278.
Rios, F., Almas, B., Chassanoff, A., Contaxis, N., Jabloner, P., 2017. Exploring Curation-ready Software: Improving Curation-readiness. doi:10.17605/OSF.IO/T9G3Q.
Meyerson, J., Vowell, Z., Hagenmaier, W., Leventhal, A., Rios, F., Russey Roke, E., Walsh, T., 2017. The Software Preservation Network (SPN): A Community Effort to Ensure Long Term Access to Digital Cultural Heritage. D-Lib Magazine 23, 5/6 (May/Jun). doi:10.1045/may2017-meyerson
Rios, F., Almas, B., Contaxis, N., Jabloner, P., Kelly, H., 2017. Exploring Curation-ready Software: Use Cases. doi:10.17605/OSF.IO/8RZ9E.
Katz DS, Niemeyer KE, Smith AM, Anderson WL, Boettiger C, Hinsen K, Hooft R, Hucka M, Lee A, Löffler F, Pollard T, Rios F., 2016. Software vs. data in the context of citation. PeerJ Preprints 4:e2630v1 doi:10.7287/peerj.preprints.2630v1.
Rios, F., Almas, B., 2016. Preserving Digital Scholarship in Perseids: An Exploration. Perseids Project Blog. October 16. doi:10.5281/zenodo.159569.
Rios, F., 2016. Preserving and sharing software for transparent and reproducible research: A review. Open Science Framework. August 16. doi:10.17605/OSF.IO/3E69D.
Rios, F., 2016. The pathways of research software preservation: An educational and planning resource for service development. D-Lib Magazine 22, 5/6 (Jul/Aug). doi:10.1045/july2016-rios.
Rios, J.F. and Renschler, C.S., 2016. A new combined assessment of mixed uncertainty in spatial models: Conceptualization and implementation.
Transactions in GIS.
doi:10.1111/tgis.12219
Rios, F., 2016. Beyond data: Reproducibility in scientific software and the role of digital preservation CLIR Re: Thinking Blog.
Rios, J.F., 2015. A new combined uncertainty and sensitivity assessment of spatial models with object-based features.
PhD thesis.
hdl:10477/51857.
Ye, M., Rios, J.F., and Shi, L., 2014. A new ArcGIS-based software of uncertainty analysis for nitrate load estimation.
Groundwater 5, 52, 649 - 650
doi:10.1111/gwat.12247
Wang, L. , Ye, M. , Rios, J.F., Fernandes, R. , Lee, P.Z., and Hicks, R.W., 2013. Estimation of nitrate load from septic systems to surface water bodies using an ArcGIS-based software.
Environmental Earth Sciences 70, 4, 1-16.
doi:10.1007/s12665-013-2283-5
Rios, J.F., Ye, M., Wang, L., Lee, P.Z., Davis, H., and Hicks, R.W., 2013. ArcNLET: A GIS-based software to simulate groundwater nitrate load from septic systems to surface water bodies.
Computers and Geosciences 52, 108-116.
doi:10.1016/j.cageo.2012.10.003
Rios, J.F., 2013. Preliminary study of nitrate levels in groundwater at Lime Lake, NY.
doi:10.5281/zenodo.61479
Wang, L., Ye, M., Rios, J.F., and Lee, P.Z., 2012. Sensitivity analysis and uncertainty assessment for ArcNLET-estimated nitrate load from septic systems to surface water bodies.
Bazargan, S., Heinig, N. F., Rios, J.F., and Leung, K. T., 2012. Electronic transport in tin(IV) oxide nanocrystalline films: Two-medium transport with three-dimensional variable-range hopping mechanism for the ultra-small nanocrystallite size regime.
The Journal of Physical Chemistry C 116, 8, 4979-4985.
doi:10.1021/jp209864e
Wang, L., Ye, M., Rios, J.F., and Lee, P., 2011. ArcNLET: an ArcGIS-based nitrate load estimation toolkit, application manual.
Rios, J.F., Ye, M., Wang, L., and Lee, P., 2011. ArcNLET: an ArcGIS-based nitrate load estimation toolkit, user's manual.
Rios, J.F., Ye, M., Wang, L., and Lee, P., 2011. ArcNLET: an ArcGIS-based nitrate load estimation toolkit, technical manual.
Rios, J.F., Ye, M., Wang, L., 2011. uWATER-PA: Ubiquitous WebGIS Analysis Toolkit for Extensive Resources – Pumping Assessment.
Ground Water 49, 6, 776-780.
doi:10.1111/j.1745-6584.2011.00872.x
Rios, J.F., 2010. A GIS-based model for estimating nitrate fate and transport from septic systems in surficial aquifers. M.S. thesis, Florida State University. [ArcNLET was featured on the FSU homepage in July of 2011]
Ebrahimi, M., Rios, J.F., Leung, K.T., 2009. Dissociative adsorption and thermal evolution of acetic acid on si(100)2x1: Surface-mediated formation of ketene and acetaldehyde from unidentate and bidentate acetate adsorbates.
Journal of Physical Chemistry C 113, 1, 281–289.
doi:10.1021/jp8076112
Conferences, Posters, & Workshops
¹ Presenter ² Poster
Rios, F. 2025. Software curation and archiving: A data curator's perspective of the last 10 years. 19th International Digital Curation Conference. Feb 17-19, The Hague, Netherlands.
Rios, F., Shimon, H., Wyndholds, L., Misgna, G., Marsolek, W. 2023. Curating simulation-based research. Data Curation Network Workshop for Specialized Data Types., Oct 17-18, Duke University.
Rios, F., Harp, M., Perry, J., McCormack, J. 2023. Navigating the NIH data management and sharing policy. Tri-university Research Administration Conference., Apr 18-20.
Oliver, J.C., Rios, F. 2023. Getting what you pay for in research data services. Empirical Librarians Conference. Mar 9-10, Richmond, VA.
Dubinsky, E., Rios, F., Schultz, L. 2022. Digging into DPIs. COGR Webinar Series, Sep 23.
Rios, F., Harp, M., Blanchard, B. 2022. A tri-university approach to sterngthen Arizona research data management services in a post-pandemic environment. Arizona Library Association Webinar Series, July 14.
Ly, C., Rios, F., Hardeman, M., 2021. Data Curation in the Cloud with the Figshare API: Presented by the University of Arizona. figshare DOI: 10.6084/m9.figshare.14730420.v1
Oliver, J.C., Rios, F., Kollen, C.E., Carini, K., Ly, C. 2020. How not to run a data visualization contest. Midwest Data Librarian Symposium, Oct 14-16.
Rios, F., Lassere, M., McAllister, K., Ruggill, J., 2020. Sustaining Software Preservation Efforts through Use and Communities of Practice. 15th International Digital Curation Conference. February 17-20, Croke Park, Dublin, Ireland. Zenodo. DOI: 10.5281/zenodo.3673980
Boehm, R., Blake, M., Rios, F., 2019. Distributed, dynamic, accessible: Cooperative planning for a community-created data rescue toolkit. Research Data Access and Preservation Summit. May 15-17, University of Miami, Miami, FL.
Rios, F., 2018. Data Management for Undergrads: Approach and Experience. Mountain West Data Librarian Symposium 2018. August 13-14, Boulder, Colorado.
Rios, F., 2018. Incorporating Software Curation into Research Data Management Services: Lessons Learned. 13th International Digital Curation Conference. February 19-22, Barcelona, Spain.
Rios, F., 2017. Preserving Research Software in Support of Scholarship. NDSR Enrichment Session June 27, George Washington University, Washington, D.C. Retrieved from osf.io/ap367.
Rios, F., 2017. Integrating Software Curation Into Existing Data Management Workflows. PresQT Workshop May 1-2, University of Notre Dame, South Bend Indiana. Retrieved from osf.io/z4xtk.
Rios, F., 2017. Software Preservation in Research Data Management. RDAP April 19-21, Seattle, Washington.
Rios, F., 2017. A Research Software Management Toolbox for Data Management Specialists. 12th International Digital Curation Conference. February 20-23, The Royal College of Surgeons of Edinburgh, Edinburgh, UK. [Winner: best poster]
Rios, F., Altman, M., Johnson, R., Spies, J., 2016. Building tools and services to support research software preservation and sharing. CNI Fall 2016 Meeting. December 12-13, Washington, DC. osf.io/nzprj.
Rios, J.F., 2015. A tool for uncertainty analysis of fuzzy-probabilistic models in GIS: Conceptualization & implementation. In
Proceedings of the 13th International Conference on GeoComputation. The University of Texas at Dallas, Richardson, Texas, USA, 20 to 23 May 2015, 457–463.
Rios, J.F., 2014. Uncertainty in geographic objects: Conceptualization & analysis.
Interdisciplinary Workshop on Geospatial Computing. November 20-21, TheMuseum, Kitchener, ON.
Rios, J.F., 2014. Evaluating and monitoring performance of ArcGIS Server map services.
WNY GIS User Group, Student Geospatial Lightning Presentations, April 25, Buffalo, NY. [Winner: best student presentation]
Rios, J.F., 2014. Conceptualizing locational uncertainty in geographic objects: Towards a more balanced approach. In
Proceedings of the 11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, A. Shortridge, J. Messina, S. Kravchenko, and A. Finley, Eds. 66–70. July 8-11, East Lansing, Michigan
Rios, J.F., 2013. Uncertainty and sensitivity analysis in GIS-based modeling.
WNY GIS User Group, Student Geospatial Lightning Presentations, April 26, Buffalo, NY.
Rios, J.F., 2013. ArcNLET: GIS-based tool for estimating nitrate loads from septic systems.
NY GIS Association, Predicting Disaster webinar, April 17, Buffalo, NY.
Rios, J.F., Ye, M., Wang, L., and Lee, P.Z., 2012. ArcNLET: ArcGIS-based nitrate load estimation toolkit. In AAG Annual Meeting, February 24-28, New York, New York.
Wang, L., Ye, M., Rios, J.F., and Lee, P.Z., 2011. Use of an Arc-GIS based software for estimation of nitrate loads from septic systems to St. Johns River in Jacksonville, FL. In
Modflow and More, June 5-8, Colorado School of Mines Golden, Colorado.
Rios, J.F., Ye, M., Lee, P.Z, 2010. ArcNLET user workshop. July 8, 2011, Florida State University (Co-organizer).
Wang, L., Ye, M., Rios, J.F., and Lee, P.Z., 2011. Estimation of hydrologic environmental impacts of nitrate contamination from energy biomass resources development. In Florida Energy Systems Consortium 2010 summit, September 27-29, University of Florida, Gainesville, FL.
Rios, J.F., Ye, M. , Lee, P., Fernandes, R., Zhao, T., and Davis, J.H. 2010. Developing a GIS-based model for estimating nitrate fate and transport from septic systems in surficial aquifers. DSC Computational Expo, April 14, Florida State University.
Rios, J.F., Ye, M. , Lee, P., Fernandes, R., Zhao, T., 2010. Developing an ArcGIS extension for estimating nitrate fate and transport. In ESRI User Conference, July 12-16, San Diego CA. (Abstract accepted).
Rios, J.F., Ye, M. , Lee, P., Fernandes, R., Zhao, T., 2010. Developing an ArcGIS extension for estimating nitrate fate and transport. In ESRI Southeast Regional User Group Conference, April 26-28, Charlotte, NC.
About Me
Bio
Currently in the role of the Research Data Management Specialist in the Research Engagement department at the University of Arizona Libraries, I focus on supporting academic research in the areas of data management planning, research workflows, reproducibility, data and software curation, archiving and sharing, and open science. Formerly, I was a CLIR postdoctoral fellow in the Data Management Services group at Johns Hopkins University, investigating issues around software preservation to support research reproducibility and reuse. I've also been active in software development in academia and in industry where I've worked on projects in the areas of geographic information systems, groundwater modeling, and incident management. My current interests include research reproducibility and software preservation with the goals of improving research transparency, accessibility, and stewardship. I received a Ph.D. in Geography from the University at Buffalo, SUNY, an MS in computational science from Florida State University, and a BS in computational science from the University of Waterloo.
Contact
You may contact me at or by social media.
Identifiers & Social
- Google Scholar: J. Fernando Rios
- GitHub: zoidy
- Twitter: @riosfrnd
- Mastodon: @riosfrnd
- ORCiD: 0000-0001-6262-3260