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HSLS Data Management Classes: Home

These Classes are Available on Request or we can Create a Customized Training for your Group -- Just ASK!

Bioinformatics Data Analysis: Options 4 Rigor
Do you have data that require bioinformatics analysis?  Are you concerned about scientific rigor and reproducibility? Come learn about the “4 C’s” available to Pitt researchers: Core facilities, Collaboration with bioinformaticians, Coding, and Commercially-licensed tools.  Make an informed decision on the best option(s) for your data needs.

Box for Storing and Sharing Research Data
Your Pitt Box account provides unlimited online/cloud storage and allows individual files, up to 15 GB, to be uploaded. In this class you will learn how to access your Box account, upload files, streamline your workflow with Box Drive, share files and folders (with or without password protection), plus more.

Crafting a Data Management Plan
What is a Data Management Plan? This session will answer that question, as well as describe the steps to creating a DMP, tools that can help with DMP development, and post-award management issues. University of Pittsburgh-specific guidelines and support resources will also be shared.

Data Management Regulations: Are You in Compliance?
What are the current data management regulations and how can they impact your research practices?  We will review federal and institutional mandates and as well as the Joint Data Archiving policy which has been adopted by journals such as BMJ, Nature, Nucleic Acids Research, and Science.

Data Visualization for Beginners
You've collected your data. Now what? In this class we will discuss principles of data visualization and demonstrate a variety of visualization tools that you can use to establish the significance of your data.

Electronic Lab Notebooks: Introduction to LabArchives
This workshop will focus on LabArchives, the Electronic Lab Notebook (ELN) selected by the University of Pittsburgh. We will cover how to get started using it, including planning strategies, access, lab notebook creation and organization, adding and editing entries, linking, and sharing data.

Excel Techniques for Data Visualization
Microsoft Excel is a commonly used program to record and store datasets with headings, rows, and columns. In this class, we will look at transforming that data into summary tables and charts. You will work through data examples to create pivot tables and pivot charts, apply conditional formatting to your tables and sheets, and prepare your figures for use in other programs.

Future-Proof Your Data
Learn how to keep your data safe AND preserve it for future use by following a few simple rules. File formats, file-naming conventions, repositories, storage options and more will be discussed.

Locating and Citing Research Data
Need to find a dataset to act as a control for your study? Or do you want to reuse open access data? This class will offer tips for locating and citing data and include hands-on exercises to explore directories of data repositories and data journals.

Introduction to Tableau for Data Visualization
You've collected your data. Now what? In this class we will learn how to use Tableau to demonstrate the significance of your data.

Introduction to the Pitt Data Catalog
Have you shared your data in an open-access repository or to accompany a publication? Are you interested in sharing data with potential collaborators, but you need to maintain control over who can access it? Come share your experiences in this drop-in session and learn about a new data-discovery platform from the Pitt HSLS team that can help you increase the visibility of your datasets without necessarily making them public.

Locating and Citing Research Data
Need to find a dataset to act as a control for your study? Or do you want to reuse open access data? This class will offer tips for locating and citing data and include hands-on exercises to explore directories of data repositories and data journals.

You Do WHAT with Your Data?
Did you know that for each minute of planning at the beginning of a project, you will save yourself roughly 10 minutes of headache later? This session will provide practical tips for organizing, naming, documenting, storing and preserving your data.

HSLS Data Services

 Contact HSLS Data Services

Melissa Ratajeski, MLIS, AHIP, RLAT

Coordinator of Data Services
IACUC Liasion

Carrie Iwema, PhD, MLS, AHIP

Coordinator of Basic Science Services

Andrea Ketchum, MS, MLIS, AHIP

Research and Instruction Librarian
Scholarly Communication Liaison

Helenmary Sheridan

Helenmary Sheridan, MLIS

Data Services Librarian

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