Data Services

Who We Are

Cameron Riopelle

Working with data?

Meet with Cameron Riopelle, PhD, Data Services Librarian at the University of Miami. With expertise in qualitative and quantitative research, he can help you learn how to:
  • Find, collect, and store data
  • Use research software
  • Analyze data
Whether you are working on a paper, project, publication, or grant application, he is here to help! He is experienced in a variety of qualitative and quantitative methods (including survey research, statistical analysis, and archival research), and programs such as R, SAS, SPSS, NVivo, and Atlas.ti. If the project is interdisciplinary and requires collaboration, he works closely with the Digital Humanities Librarian, GIS Librarian, and postdoctoral fellows to work through issues and questions that may arise.

If you are arranging a meeting about data analysis or research design, please include documentation.

You can make an appointment for a consultation at his YouCanBook.Me page or through email.
How We Can Help
We provide consultative and instructional services for students, faculty, and staff in data access and analysis. We can assist you with the access, use, and manipulation of quantitative and qualitative datasets. We can help you...
  • Learn software such as SPSS, SAS, NVivo, Atlas.ti, Tableau, Python, and R/R Studio.
  • Access and download large datasets such as American Community Survey and the General Social Survey.
  • Find data housed in data repositories, such as ICPSR.
  • House data in data repositories.
  • Choose the appropriate research design.
  • Choose the appropriate method of analysis.
  • Access to and use of data resources across disciplines.
  • Meet specialist experts and subject specialists.
Research Data Services
The University of Miami provides Research Data Services, including:
  • Data Storage: The University of Miami has several campus wide data storage and sharing tools
  • Data Repository: The University of Miami institutional repository can be a home for your data as well as your research publications.
  • DOI minting service: The University of Miami provides a DOI minting service for all of your publishing needs; both for your data and for other scholarly output such as article reprints, journal publishing, and other assets.
  • Data Management Plan Review: You can ask for a review of your data management plan from the libraries, the writing center or the center for computational science.
  • Sensitive Data Management: The Office of Research at the University of Miami provides several services to share data and meet HIPPA privacy and security compliance for researchers working with sensitive or private data.
  • Online Survey Tools: If you plan to include an online survey in your research, please see the Qualtrics tool for use at the University of Miami.
Visit our Research Data Services page at http://library.miami.edu/datacuration/ to learn more. This page is maintained by Timothy Norris, Research Data Scientist and Visiting Librarian Assistant Professor with the University of Miami Libraries.
Digital Humanities
Digital Humanities workshops provide a lightweight orientation to the field of digital humanities research. They help participants:
  • Decide how/whether digital tools & methods might advance their research
  • Develop plan(s) to learn the specific skills needed
  • Become more fluent at discussing practical, methodological, and theoretical issues related to digital humanities research and scholarship.
Visit the Digital Humanities guide at http://sp.library.miami.edu/subjects/digital-humanities. This page is maintained by Paige Morgan, the Digital Humanities Librarian at the University of Miami Libraries.
 
GIS Services
GIS (Geographic Information Systems) tools can be useful for any digital humanities project that has a spatial/geographical component. Abe Parrish, the UM Libraries GIS Librarian, offers regular workshops focusing on ArcGIS, one of the most powerful GIS tools available. Jorge Quintela, the GIS & Data Specialist, provides assistance with both GIS and data services.

ArcGIS is a comprehensive geographic information system used for creating and using maps; compiling geographic data; analyzing mapped information; sharing and discovering geographic information; using maps and geographic information in a range of applications; and managing geographic information in a database. 

Find out about upcoming workshops and other GIS resources at the GIS Resources guide. This page is maintained by Abraham Parrish, the GIS Services Librarian at the University of Miami Libraries.
Open Hours
Data Services holds open hours at the Richter Library, the Calder Medical Library, and the Rosenstiel School of Marine and Atmospheric Science (RSMAS) during the Fall and Spring semesters.

Stop by and introduce yourself and ask questions!

Open Hours schedule:

Calder Medical Library, Miller School of Medicine: Wednesdays 1-4pm

RSMAS Library, RSMAS: Thursdays 1-4pm

If you can't make the open hours, you can always schedule an appointment for a consultation at the Data Services YouCanBook.Me page or through email.
Digital Scholarship Staff Directory
Cameron Riopelle
Data Services Librarian

Paige Morgan
Digital Humanities Librarian

Abraham Parrish
GIS Services Librarian

Timothy Norris
Data Scientist

Jorge Quintela
GIS & Data Specialist
Spotlight on...
Workshops
Workshop series:
Richter Library: Introduction Working with Data Workshop Series, offered each semester, covering introductory and intermediate sessions on the stats programs SAS, SPSS, and R/R Studio.

Calder Library: Statistics Software Workshops on SAS, SPSS, R/R Studio, and Tableau.

RSMAS Library: Workshops on R/R Studio.


On request:
Introduction to SPSS:
"Designed for introductory SPSS users. It provides an introduction to the SPSS software program, including its software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, and visualization."

Intermediate SPSS: "Designed for intermediate SPSS users. It covers common statistical methods in SPSS such as means comparisons, ANOVA, linear regression, and logistic regression models."

Introduction to R/R Studio: "Designed for introductory R and R Studio users. It provides an introduction to the R software program, including its programming language, software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, exploratory tests, and visualization."

Intermediate R/R Studio: ""Designed for intermediate R and R Studio users. It covers common statistical methods in R such as means comparisons, ANOVA, linear regression, and visualization."

Introduction to Stata: "Designed for introductory Stata users. It provides an introduction to the Stata software program, including its programming language, software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, exploratory tests, and visualization."

Intermediate Stata: "Designed for intermediate Stata users. It covers common statistical methods in Stata such as means comparisons, ANOVA, linear regression, and logistic regression models."

Introduction to SAS: ""Designed for introductory SAS users. It provides an introduction to the SAS software program, including its programming language, software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, exploratory tests, and visualization."

Intermediate SAS: ""Designed for intermediate SAS users. It covers common statistical methods in SAS such as means comparisons, ANOVA, linear regression, and logistic regression models."

Data Visualization with Tableau: "Introduction to using the software program Tableau for visualization."
Data Visualization with R: "Introduction to using the software program R for visualization."

Qualitative Research with Atlas.ti: "Introduction to conducting qualitative research using Atlas.ti, including the environment, coding, and indexing textual data."

Qualitative Research with NVivo: "Introduction to conducting qualitative research using NVivo, including the environment, coding, and indexing textual data."

Introduction to LaTeX: "Introduction to typesetting documents usinng the LaTeX programming language."

Introduction to Python: "Introduction to the Python programming language."

Introduction to Survey Research: "Introduction the techniques of survey research, from questionnaire design to survey administration."