Research

Digital Scholarship leverages digital methodologies, tools, and platforms to ask and answer research questions across disciplines. We support faculty and student DS-based research by offering: 

  • Consultations on selecting DS methodologies and technologies, identifying resources, and more. 
  • Smaller-scale support that meets specific and short-term technical needs to give undergraduate students, graduate students, and faculty a leg up on their research projects. 
  • Collaboration on larger-scale projects with our role ranging from helping faculty and graduate students launch their projects to working with faculty on more complex endeavors. 

To start a conversation with us, please fill out our form or email us at digitalscholarship@bc.edu. For more details, see our Digital Projects Services and Practices documentation.

What does Digital Scholarship-driven research look like?

DS can complement traditional research and publishing or be its own endeavor that takes the form of an interactive online project (or somewhere in between). Using DS methods, tools, and platforms allows researchers to do such things as analyze textual sources at a larger scale, visualize data, create interactive maps, and incorporate existing media and digitized documents into scholarly works.  

Examples of DS research projects include:

  • analyzing a large set of newspaper articles to uncover what topics were discussed in a particular historical period; 
  • manipulating socio-economic data for computational analysis;
  • scraping data from the web, cleaning it, and visualizing it;
  • examining changes between different editions of novels (or other related texts); 
  • creating a critical edition of a philosophical treatise so that it can be more closely analyzed and annotated;
  • creating a 3D model of a fossil (or other rare object) to illustrate findings for a journal article or so that it can be shared with fellow scholars and students to study;
  • creating interactive graphs or maps of contemporary or historical public health data for analysis purposes;
  • visualizing social networks using correspondence from historical figures;   
  • creating a customized database to assist with data collection and organization processes.

Also, see our projects page for examples.