Research Guides: Data Services Class Descriptions: Data Management

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Staffed Hours: Fall 2023
Mondays: 12pm - 5pm Tuesdays: 12pm - 5pm Wednesdays: 12pm - 5pm Thursdays: 12pm - 5pm Fridays: 12pm - 5pm

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Regularly Offered Data Management Classes

Python for Harvesting Data on the Web
Obtain data and load it into a suitable "container" for analysis, often via an API, parse API-generated data and manipulate it
Data Cleaning and Management Using Python
Parse data in Python, store it in helpful formats, perform transformations typical for mixed string-and-numeric formats
Data Cleaning Using Open Refine
Learn an open-source tool for fast clean up of tabular data in preparation for analysis
Managing a Personal Research Archive
A workshop designed to help researchers manage their digital research files
Introduction to Git and GitHub
Explore concepts of distributed version control and learn basic Git concepts and GitHub workflows
Research Management Using the Open Science Framework
Managing, annotating, organizing, archiving, and publishing research data using the Open Science Framework
Writing a Data Management Plan for Grant Applications
Learn essential elements of writing a successful data management plan for federal funding agencies such as the NEH, NSF, NIH, NASA, and others
Extracting Text Using Optical Character Recognition (OCR)
Extract and organize textual and tabular data using the OCR softwares Tesseract and ABBYY FineReader
Reproducible Workflows in R
Discover Packrat, R Markdown, and the integration of git with R to enable reproducible research workflows
Introduction to Jupyter Notebooks
An introduction to managing and publishing research projects using Jupyter Notebooks
Getting Started with Python Pandas
Integrate Pandas, a powerful Python library, into your Jupyter Notebook workflow for analysis and visualization