The University of Pittsburgh Library System offers support for many activities related to research data throughout the research lifecycle. Some examples of activities we assist with include developing computational skills for your research, finding and using the right tool for working with data, writing a data management plan for a grant, or looking for a place to deposit your data.
We offer consultations with individuals and small groups, workshops for the Pitt community, and trainings and presentations for classes and lab groups upon request.
Contact us to set up a consultation. You might also find a workshop that suits your need on our Events Calendar.
Working with data is at the heart of research, and it takes many different forms. Perhaps you want to combine multiple sources of data for your project, or to analyze the text of a novel programmatically, or to produce a map or other visualization to accompany your written work. Our team is ready to help you acquire the skills and tools that you need to get the job done.
We can help you…
Data and code have ways of taking on lives of their own, especially when time and multiple collaborators are involved. Perhaps you’re also concerned about the reproducibility and replicability of your project. We’re here to assist with activities like data management planning and tools like version control software.
We can help you…
Are you looking for a place to share your data or code, perhaps as mandated by your publisher? If you’re preparing to share it, you’ll also want to make it easily findable and reusable. We’re here to help you sort through the options and get your data or code out there.
We can help you…
Knowing it’s out there is one thing, but finding it is another.
Are you looking for existing data or code that can integrated into your own research, or perhaps for a classroom assignment you’re designing? Once you’ve found it, are you unsure of exactly how you’re allowed to reuse shared data or code, or how to cite it?
We can help you…
To find more resources and learn more about Research Data Management, please visit our online guide.