Collections as Data is the concept of using digital collections, digital objects, and their descriptive metadata, made available as datasets, to perform computational analysis.
Examples:
Collections as Data might consist of the content of the library, archival resources, unrestricted records of the College themselves or might consist of information about those resources. From this data, a researcher may be able to derive quantitative measures, new datasets, or even predictive models.
Often these datasets need to be extracted from our systems and cleaned or reformatted to make them usable for different types of analysis. If you are interested in data that is not already available on-demand, please see the "Request Data" page for ways to contact us. We can discuss with you whether that data is available, the extent of that data and the format(s) it can be provided in. You might be surprised by just how much interesting data we can offer!
Collections as Data is a collaborative project, combining the expertise and function of multiple library departments.
We offer:
Project planning, computational or statistical analysis, data visualization, or working with research assistants beyond delivering data are beyond the scope of this project.