Data is ubiquitous in research and we are here to help you. Our Research Data Services Team is a group of multi-disciplinary librarians available to offer consultations & trainings for students, faculty and researchers throughout the course of their research projects, from planning to sharing data with the public. To learn more about the specific services we offer, visit our research data services site.
The following guide will walk you through the major components of research data management, including creating a data management plan and collecting, storing, and sharing your data, and share useful tips and resources.
If you have questions about research data storage and/or high performance computing, please visit the University's Cyberinfrastructure site.
Good research data management can help you:
Don't just take our word for it! Check out the video Why Do Data Management? from the University of Wisconsin-Milwaukee Libraries' Data Services. It outlines 5 reasons for embracing good research data management practices. Or, for a more humorous take with pandas, view the New York University Health Sciences Library's video Data Sharing and Management Snafu in 3 Short Acts.
Adapted from the New England Collaborative Data Management Curriculum (NECDMC) "Module 1: Overview of Research Data Management."
Different definitions of research data abound - there is no consensus. According to the University of Edinburgh, "[r]esearch data, unlike other types of information, is collected, observed, or created, for purposes of analysis to produce original research results." The Reference Model for an Open Archival Information System (OAIS) defines data is "[a] reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing."
So what "counts" as research data? Data types and formats can vary widely by field. Here are some examples: