The Library's RESEARCH DATA SERVICES (RDS) faculty members assist GSU students, faculty, and staff with data analysis tools & methods, data visualization, finding data & statistics, data collection, and data cleaning & management.
WAYS WE HELP:
See this page for other data-skills resources and training opportunities at GSU and beyond!
Below are the RDS MEMBERS and their SPECIALTY AREAS – reach out to them directly, or schedule a Quick Data Help appointment.
Not sure who to contact? Email LIBDATAHELP@GSU.EDU and we'll get you in touch with the right person.
HALLEY Riley(she | her)
ÖZLEM Tunçel Gürlek(she | her)
ASHLEY Rockwell(she | her)
MANDY Swygart-Hobaugh(she | her)
Quantitative/Statistical
Qualitative
NOTE: (1) The examples below are not exhaustive; (2) Our primary focus is helping to implement analytic methods, not necessarily teaching underlying methodological principles.
Basic Statistical Analysis 
Descriptive Statistics | Inferential Bivariate Statistics (e.g., ANOVA, t tests, correlation, chi-square) | Linear Regression
Advanced Quantitative Analysis
Generalized Linear Models | Time-Series Analysis & Multilevel Models | Multiple Imputation | Multivariable Regression Analysis (Logistic, Ordinal, Multinomial) | Hierarchical Linear Models | Structural Equation Models | Mediation and Moderation Analysis | Complex Survey Data Analysis
Quantitative Research Design
Experimental & Quasi-Experimental Design | Evaluation Methods | Survey Design and Administration | Medical Record Extraction | Systematic Review Methods (data analysis component)
Qualitative Data Analysis
Interview Guide Design | Data Analysis Techniques | Grounded Theory Methods
Mixed Methods
Tableau data visualization
GIS resources and ArcGIS
For access to ArcGIS Business Analyst and ArcGIS Community Analyst, please contact John Tougas in the Geosciences Department.
Social sciences data (ICPSR, US census data, qualitative data)
Health sciences and public health data
Tools for creating surveys / collecting survey data:
Finding existing surveys/measurement scales/tests for data collection
INTERVIEWS (Qualitative)
Data cleaning, shaping, & reformatting
Data management plans (DMP) for research grant proposals -- support using the DMPTool for writing a DMP, reviewing draft DMPs, and implementing DMPs
The RDS Department offers support to Georgia State University (GSU) students, faculty, and staff in the areas of data analysis tools & methods, data visualization, finding data & statistics, data collection, and data cleaning & management. We provide this support via recorded tutorials, micro-credential badges, custom sessions for classes and research teams, and one-on-one help.
RDS assistance is focused on secondary / supplementary support for troubleshooting specific software/coding or methods needs. We are here to empower you to do the work yourself for the task at hand and for the future, not to do the work for you. If a need is beyond our scope of expertise or capacity for assistance, we commit to directing you to alternative resources -- such as other campus entities; online resources like SAGE Research Methods (SRM), O'Reilly for Higher Education eBooks and multi-media resources for software/coding tools support, our online guides, and our recorded tutorials; print resources for checkout from the University Library; and so on.
Academic department faculty (e.g., course professors/instructors, thesis/dissertation advisors, etc.) are students’ primary resource for support in the areas of research methods, data analysis and visualization, and statistical/quantitative and qualitative analysis software assistance. The RDS Department is here to supplement that support. RDS members will refer students back to their academic department for assistance when the support being sought is the primary responsibility of academic department faculty or the home department.
Due to the limited capacity of our department, we generally limit our support for statistical or research methods needs when they are tied to a software/coding platform. We will use our discretion to determine if a statistical/methods need without a software/coding component is within our scope of expertise and capacity for assistance. Our support does not include step-by-step homework help or tutoring support services.
Prior to an appointment with an RDS member, we may direct you to our recorded tutorials or other resources to gain the foundational skills for using various analytical software/coding platforms or methods. If after consulting these materials you continue to have need for support, we encourage you to contact us with your questions and to potentially schedule an appointment for one-on-one help.
When RDS members determine that a student or faculty's assistance expectations have gone beyond the scope of appropriate support services in terms of content or frequency, they will communicate as such to the individual. If the individual has further questions or concerns, they may contact the RDS Department Head, Dr. Mandy Swygart-Hobaugh.
When RDS members determine that their support for a research project or teaching curriculum has resulted in substantive intellectual contributions, they will negotiate the appropriate recognition for their intellectual contributions (e.g., co-authorships, acknowledgments, thesis/dissertation committee membership, copyright/creative commons privileges, etc.).
Non-GSU researchers are welcome to view our online recorded tutorials and use our online guides. RDS members do not offer one-on-one assistance (either face-to-face, via email or other virtual modes, or over the phone) to non-GSU researchers because it is not sustainable for them to open their one-on-one services up that widely.
