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:
Struggling with research data management? Check out where to get help at the University of Nevada, Reno.