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Consulting Staff

The Center for Data and Visualization Sciences consultants can help with a variety of data projects and related computing problems. We are available (in-person or online) weekdays by appointment or according to our walk-in schedule.

Learn more about our areas of expertise below:


Joel Herndon

Director, Center for Data and Visualization Sciences

Phone: (919) 660-5946
Email: joel.herndon@duke.edu
Web: https://joelherndon.info
Twitter: duke_data

I am the Director of the Center for Data and Visualization Sciences and act as a liaison with other data groups at Duke and beyond. Additionally, I serve on the management team of Duke Libraries' digital scholarship space: The Edge: The Ruppert Commons for Research, Technology, and Collaboration. My recent research focuses on how universities and research libraries are responding to a growing demand for data science services and training.


Mark Thomas

Librarian for Economics and GIS and Map Specialist

Phone: (919) 660-5853
Email: mark.thomas@duke.edu

Expertise: Software (ArcGIS, QGIS, Excel, online mapping tools), economic literature, data sources (all formats), maps

I have been working in the Center for Data and Visualization Sciences since its inception in 2007 and currently serve as the subject librarian for economics and business, geographic information systems (GIS), geography, maps and U.S. federal government documents. I began working at Perkins Library in 1996, and from 1990-1996, I worked as a librarian specializing in government documents and maps at Texas A&M University. I earned a Master of Library and Information Science at the University of Texas at Austin and a B.A. in Economics from Rice University.


Drew Keener

Drew Keener

Map and Geospatial Data Specialist

Email: drew.keener@duke.edu

Expertise: Web mapping applications, spatial data analysis, map design, GIS software (ArcGIS Pro and QGIS), Tableau, R. 


John Little

John Little

Data Science Librarian

Email: john.little@duke.edu 
Web: http://johnlittle.info 
Zoom/Consultations/Schedule Me: https://is.gd/littleconsult

Expertise: Data science, R, RStudio, Tidyverse, data engineering, tidy data, data scraping, web scraping, data wrangling, data cleaning, text mining, sentiment analysis, APIs, version control (git/GitHub) and reproducibility, R Markdown report rendering including dashboards / slide decks (xaringan) / bookdown / blogdown / distill websites, visualization via ggplot2 and plotly

My current interests are using R, RStudio and the Tidyverse in a practical data science context.  Additionally I help people manage data projects from gathering to cleaning, analysis to visualization; helping library users implement new data tools; assist the data-curious explore practical data science solutions. 


Eric Monson

Data Visualization Analyst

Phone: (919) 613-1833
Email: eric.monson@duke.edu
Zoom: https://duke.zoom.us/my/emonson (by appointment only)

Expertise: Software (Tableau, Python, Adobe Illustrator, Gephi, Git, Matlab, ParaView), broad range of scientific and humanities data and visualization, NoSQL databases, regular expressions, text analysis.

As the Data Visualization Analyst, I help students, faculty and staff with data visualization, organization, and processing for their research. My background is in the experimental sciences, where a PhD in Applied Physics led me to work on fluorescence microscopy, chemical nanosensors, and neuron-glial brain cell signaling. From 2007 until I joined CDVS in 2015, I worked as a Research Scientist here at Duke, collaborating with faculty and graduate students from Math to Computational Biology to Art History, helping them visualize and understand their data. In my current position, I enjoy introducing people to important skills they need but were never trained in, whether that means teaching visual design and communication to Scientists, or helping Humanists incorporate technology into their scholarship.


 
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Jen Darragh

Research Data Management Consultant

Phone: (919) 681-1805
Email: jennifer.darragh@duke.edu

Expertise: Software (REDCap, Sharepoint, Open Science Framework (OSF), Piktochart), data management workflows, behavioral, social science and health data resources, restricted-use data acquisition, sensitive data management and data security.

I began working in the Center for Data and Visualization Sciences in 2017. My goal is to provide guidance and assistance to Duke researchers from all disciplines in managing their research data. Research data can be anything from spreadsheets, digital surrogates of primary resources, AV files, to complex 3D images.  I earned a Bachelor of Arts degree in Psychology from Westminster College in New Wilmington, PA and a Master of Library and Information Science from the University of Pittsburgh.


Sophia Lafferty-Hess

Research Data Management Consultant

Phone: (919) 660-5782
Email: sophia.lafferty.hess@duke.edu

Expertise: Software (Open Science Framework (OSF), Dataverse), data management, data sharing, data curation, digital preservation

I began working in the Center for Data and Visualization Sciences in 2017. I specialize in data management best practices including organizing data, documenting data, citing data, and archiving and sharing data. I have a background working in a social science data archive where I curated data for long-term preservation and reuse. I earned a BA in History and Classical Studies from the University of Arkansas and earned a Master of Science of Information Science and Master of Public Administration from the University of North Carolina at Chapel Hill.


Ryan Denniston

Ryan Denniston

Librarian for Public Policy and Political Science

Phone: (919) 660-5876
Email: ryan.denniston@duke.edu

Expertise: Software (Stata, R, Microsoft Office and VBA programming, NVivo, ArcGIS), social science literature, data analysis, data sources

I currently serve as the subject librarian for public policy and political science and have since 2015. I received my PhD in sociology from Duke University in 2009 and worked part time for both the Center for Data and Visualization Sciences as an associate in research at the Sanford School from 2009-2015. My principal strengths are locating data sources, organization and analysis of data, and locating academic literature in the social sciences.

 
 

Lauren Nichols

Lauren Nichols

Data Visualization Analyst

Email: lauren.nichols@duke.edu

Expertise: Data wrangling, data visualization, visual science communication (figures, talks, presentations, photography). Software: R, ArcGIS, QGIS, Adobe Illustrator, Photoshop.

I help students, faculty and staff identify the stories they are trying to tell with their data and harness tools to tell compelling stories through data visualization. Prior to joining CDVS in 2023 I spent thirteen years as a researcher and project manager, using tools of bioinformatics, community ecology, and citizen science to study the ecology, evolution and biodiversity of human environments. As part of this work I facilitated collaborations with museums, researchers, teachers, engineers, data scientists, students, artists, Tribal Nations and city planners. Working on interdisciplinary teams and with a diversity of stakeholders highlighted the importance of effective communication.


Economics Department Data Interns

Our Economics Data Interns are current graduate students in the Duke Economics Department, and specialize especially with questions involving statistical software and econometric analysis.

Geoffrey Qu

Geoffrey Qu

Intern

Expertise: Software (Stata, R); data analysis; text analysis; econometrics; financial data

I'm a first-year M.A. in Analytical Political Economy student. I have working knowledge of Stata, R, and a basic knowledge of Python. I have a background working with financial and macro data from WRDS as well as performing basic machine-learning text analysis. I earned double bachelor's degrees in economics and international politics at Peking University.


Bill Zhao

Bill Zhao

Intern

Expertise: Stata, Excel, Python, R, Mathematica, MATLAB. Skills: applied econometrics, causal inference, data sets management.

I am a first year M.A. Economics student and am familiar with modern econometrics and causal inference techniques using cross-sectional or panel data with Stata. I can also provide help in data sets management, cleaning, reshaping, merging, and the interactions between Stata and Excel. I earned my B.A. in Economics from Fudan University (Shanghai).


Chenyu Zhang

Chenyu Zhang

Intern

Expertise: Stata, R, Environmental Econ Data

I am a first year M.A. in Analytical Political Economy student. I have working knowledge of Stata and R, and I have experience in data cleaning and econometrics/economic applications and theories. Before coming to Duke I majored in Economics and Political Science at Williams College.

Mon 6/24
1:00pm – 3:00pm

Eric Monson & Lauren Nichols

Tue 6/25
1:00pm – 3:00pm

Drew Keener

Wed 6/26
1:00am – 3:00am

John Little

Thu 6/27
1:00pm – 3:00pm

Mark Thomas

Mon 7/01
1:00pm – 3:00pm

Eric Monson & Lauren Nichols