Data and Visualization Services Consultants

Data and Visualization Services consultants can help with a variety of data projects and related computing problems. We are available weekdays by appointment or according to our walk-in schedule.

Learn more about our areas of expertise below:


Joel Herndon

Head, Data and Visualization Services

Phone: (919) 660-5946
Location: 226 Bostock
Email: joel.herndon@duke.edu
Web: https://joelherndon.info
Twitter: duke_data

Expertise: Software (Git, R, Stata), data management, data processing, data sources

I serve as department head of Data and Visualization Services 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 considers the evolution of data management requirements in social science journals and how research libraries can provide consultation and training to meet these publishing requirements.


Mark Thomas

GIS Librarian

Phone: (919) 660-5853
Location: 226 Bostock
Email: mark.thomas@duke.edu

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

I have been working in Data and Visualization Services 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.


Angela Zoss

Data Visualization Consultant

Phone: (919) 684-8186
Location: 226 Bostock
Email: angela.zoss@duke.edu
Twitter: duke_vis

Expertise: Software (Excel, Tableau, Python, SQL, Adobe Illustrator, Gephi, ArcGIS/QGIS, R), data processing, data visualization, network analysis, regular expressions, semi-automated text analysis, web visualizations

I began working as the Data Visualization Coordinator for Data and Visualization Services in 2012. While pursuing my doctorate in Information Science from Indiana University, I spent three years as a research assistant, focusing on information visualization projects and instruction. My research spans a wide range of subjects and methods — from qualitative analysis of interview and observational data to pattern detection in large, quantitative datasets. I hold a Master of Communication from Cornell University and have complementary training in cognitive science and computer science. I am happy to help with all phases of the data analysis cycle, and I am especially familiar with data processing/formatting and the design of visualizations and interactive systems. I teach workshops on data visualization, text analysis and related software tools.


John Little

John Little

Data Analysis Librarian

Phone: (919) 627-7795
Location: 226 Bostock
Email: john.little@duke.edu 
Web: http://johnlittle.info 

Expertise: data engineering, data cleaning, data wrangling, data normalization (i.e. data janitor); regular expressions, web scraping

My current interests are helping researchers manage the lifecycle of data projects from gathering to cleaning, analysis to visualization; bootstrapping “Big Data” developments; helping library users implement new data tools and exploring data storage solutions. I have a B.A in Sociology with concentrations in Computer Science and Political Science from the University of North Carolina at Greensboro, and a Master of Library and Information Science from the University of North Carolina at Chapel Hill.


Eric Monson

Data Visualization Analyst

Phone: (919) 613-1833
Location: 226 Bostock
Email: eric.monson@duke.edu

Expertise:  Software (Python, Tableau, Matlab, D3.js, Gephi, Adobe Illustrator, Git, ParaView), scientific and humanities data and visualization, web-based 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 DVS 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.


Mara Sedlins

CLIR Postdoctoral Fellow for Data Curation in the Social Sciences

Phone: (919) 681-1805
Location: 226 Bostock
Email: mara.sedlins@duke.edu

Expertise: Software(SPSS, R), data management, data processing, multilevel modeling

I began working at Duke Libraries and the Social Science Research Institute in 2016 and will be promoting best practices for managing a variety of research data in the social sciences across the research lifecycle. I earned my Ph.D. in Social and Personality Psychology with a Quantitative Minor at the University of Washington.


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Jen Darragh

Senior Research Data Management Consultant

Phone: (919) 681-1805
Location: 226 Bostock
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 Data and Visualization Services department 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 from Westminster College in New Wilmington, PA and a Master of Library and Information Science from the University of Pittsburgh.


Sophia Lafferty-Hess

Senior Research Data Management Consultant

Phone: (919) 660-5782
Location: 226 Bostock
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 Data and Visualization Services department 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.


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.  See the walk-in lab schedule for hours that they are available for assistance.

Usa Kerdnunvong

Usa Kerdnunvong

Economics Department Graduate Student Intern

Location: DVS Lab, The/Edge, first floor Bostock Library
Email: askdata@duke.edu

Expertise: Software (Stata, R, MATLAB); data analysis; econometrics; international data sources; financial data sources

I am a first-year M.S. in Economics and Computation student. I have working knowledge of Stata, R, and MATLAB, and basic knowledge of Java and SAS. I have worked with international and financial data sources. Before coming to Duke, I was a research assistant at the St. Louis Fed. I majored in Economics and Mathematics and minored in Psychology at Washington University in St. Louis.


Yu Ma

Yu Ma

Economics Department Graduate Student Intern

Location: DVS Lab, The/Edge, first floor Bostock Library
Email: askdata@duke.edu

Expertise: Software (Stata, R, ArcGIS, Matlab); census data; data analysis; econometrics

I am currently a second-year M.A. Economics student at Duke University. I am familiar with Stata and R, and have skills in data cleaning, data reshaping, data analysis, and econometrics/economic applications and theories. I have a basic knowledge of ArcGIS and have a background working with U.S. census data. I earned a Bachelor of Science degree in Economics and Minor in Math from University of Washington.