Data Services comprises consultants with expertise in data management, data visualization, GIS and maps. Our team members offer free consultations, design and run workshops, manage our physical spaces and oversee the JHU Data Archive. We also collaborate with Bryce Corrigan, senior statistician and lecturer at the SNF Agora Institute, on statistical consultations and referrals.  

Contact us via email (dataservices@jhu.edu) if you need assistance. Responses typically take 1-2 business days. 

David Fearon

Sr. Data Management Consultant Bio

  • Human Subjects Data Protection & De-identification
  • Qualitative Data Management
  • Data Management Planning 
  • Data Sharing & Archiving 
  • DOI Services  

Chen Chiu

Sr. Data Management Consultant Bio

  • R for Data Manipulation and Cleaning
  • Instructional Design
  • Data Management Planning 
  • Data Sharing & Archiving 
  • DOI Services  

Betsy Gunia

Data Management Consultant (Part-time) Bio

  • Open Science
  • DMPTool
  • Data Management Planning 
  • Data Sharing & Archiving 
  • DOI Services  

Bonni Wittstadt

Geospatial Services Consultant  Bio

  • Web App Building
  • Instructional Design
  • Accessing and Using Geospatial Data 
  • ESRI suite of applications 
  • Guidance on creating maps 

Reina Murray

Geospatial Data Curator and Applications Administrator Bio

  • Python and R
  • Open-source Geospatial Applications and Tools
  • Accessing and Using Geospatial Data 
  • ESRI suite of applications 
  • Guidance on creating maps 

Lena Denis

Geospatial Data, GIS, and Maps Librarian Bio

  • Map Collection, finding scanned maps, and map history
  • Teaching and creating digital projects with maps
  • Accessing and Using Geospatial Data
  • ESRI suite of applications

Pete Lawson

Data and Visualization Librarian Bio

  • Data and Scientific Visualization
  • Data Discovery and Access
  • Python, R, MATLAB
  • Reproducible Research
  • High Performance Computing

Bryce Corrigan

Senior Statistician and Lecturer, SNF Agora Institute Bio

  • Social statistical methodology
  • Statistical software, especially R, Stata, and Julia
  • Multi-level, panel, and longitudinal data
  • Bayesian inference