Research data is any information collected or produced during the course of research that can be used to validate original research findings. Data can include numerical information, measurements, recordings, textual documents, physical specimens, and more.
RDM (Research Data Management) is the management of data used or generated during the research process, with the goal of ensuring that the data is usable by future researchers for further research, analysis, and the validation of completed research.
The library provides a variety of data services to help you manage your research data. Reach out to your liaison librarian for assistance or questions.
Our data services include
Non-Library Services
The library is one of many campus units that support research data management. See the list of ATSU Research Units below for links and more information. The Department of Research Support can provide consultations on the more technical aspects of research data management including assisting with local data storage, data visualization, and data analysis. Sponsored Programs support grant administration and compliance with regard to data sharing.
A data management plan is a document, usually only 2-3 pages, that outlines how you will manage (and share!) your research throughout the entire research project. This is typically completed at the beginning of a research project (or during a grant proposal) and encourages thinking about and planning early for research data management needs. They typically include essential information about how you will collect, store, describe, and share your data.
Benefits of a data management plan:
Documentation is your way of explaining your project, procedures, and data to others. Clear documentation makes it easier for others to reuse your data in the future, for other researchers to understand your research, and for you to keep track of your own research process. Without good documentation, even data that is shared may not be usable.
File Naming and Structure - giving clear, descriptive titles to your files that can be understood by all, and organizing your files in a clear and organized fashion
Readme Files - plain text files provided with the research data that give the necessary context to understand and use the data
Data Dictionaries - a dictionary that explains key terms and abbreviations needed to understand use the data
Who - Who collected the data? Who were the subjects under study?
What - What data was collected and for what purpose? What is the content and structure of the data?
Where - Where and under what conditions were the data collected?
When - When was the data collected
Why - Why was the experiment performed and how does it relate to your research question?
Data Sharing has multiple benefits which include increasing the visibility of your research, facilitating new discoveries by other researchers, and meeting funding requirements.