Data Management Overview
We understand that managing your research data is vital to your success, so Galter Library offers classes to help you navigate NIH policies and data organization. We provide the practical skills you need to ensure your data is clean, compliant and ready for sharing.
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10 Simple Rules for Conducting a Data Inventory
This class and discussion by Galter Library on conducting a data inventory provides tips on how to organize unruly project data.
10 Simple Rules for Data Cleaning with Excel
Join Galter Library for a 90-minute crash course in data cleaning basics with Excel, including filtering, creating histograms, data validation and custom lists.
10 Simple Rules for File Organization
Join Galter Library for a 45-minute discussion on best practices for file organization, including file naming, folder organization and using keywords and tags.
Best Practices in Research Data Management and Data Sharing
An introduction to research data management, including retention requirements, management plan requirements, documentation, metadata, and sharing research data.
Cleaning Spreadsheet Data with OpenRefine
Galter Library's introductory class in OpenRefine, a free, open-source tool for cleaning data in spreadsheets.
Creating Compliant DMS Plans for the NIH Policy on Data Management and Sharing
The National Institutes of Health’s (NIH) Final policy for Data Management and Sharing went into effect January 25, 2023. The policy requires submission of a Data Management and Sharing Plan (DMSP) with all NIH funding applications that outlines how project data and metadata will be managed and shared. In this class, tips will be shared for generating a 1-2 page DMSP for compliance with the NIH policy.
Data Projects: Setup and Key Tips for Excel
This one-hour class at Galter Library will provide basic advice and tips for effectively setting up and starting your Excel-based data projects.
Digital Folder Organization: Best Practices and Strategies
This one-hour class outlines both general best practices for establishing a folder organization strategy, as well as specific recommendations for folder structures for scientific studies.
Introduction to SQL for Clinical Researchers
This Galter Library workshop provides an introduction to databases and the Structured Query Language (SQL) for clinical researchers.
Making your Data FAIR
This Galter Library class covers the characteristics of FAIR data (Findable, Accessible, Interoperable, and Reusable) and how to make your data FAIR.
NIH Data Management and Sharing Policy - Virtual Q & A "Office Hours"
Do you have specific questions about the NIH Data Management and Sharing Policy? Sign up for Galter Library's virtual "office hours."
Principles of Effective Data Visualization
This Galter Library class covers best practices for creating visualizations and illustrations that effectively communicate research ideas and data stories.