Schaffer Library is here to support your research needs. Our services provide assistance during the entire lifecycle of your research:
Schaffer Library can help you ensure that your data management meets FAIR principles: Findable, Accessible, Interoperable, and Reusable. These principles apply to our library's repository, ARCHES; our data planning; and our discovery engine, Primo. Though originating in the scientific research community, libraries have sought to make FAIR data available across disciplines and research projects. For more information about the principles, visit the Go Fair website. The original article that describes FAIR principles is: Wilkinson, M., et. al. (2016). "The FAIR Guiding Principles for Scientific Data Management and Stewardship." Scientific Data, 2016 Mar 15. doi: 10.1038/sdata.2016.18 (available in PubMed Central).
Faculty research can produce enormous amounts of files, data points, and other types of content during its lifecycle. Research data management involves the everyday management of this production as well as decisions about what happens to the data once the research is complete.
Examples of everyday management include:
Examples of data management for completed research include:
Research data management is critical to the success of any research project. Some reasons to consider: