Dataset Curation Grants

Call for 2019-2020 CDH Dataset Curation Grants

Deadline: March 4, 2019


CDH Dataset Curation Grants will familiarize recipients with the analytical and technological practices of working with humanities data. Grantees receive affiliation with the CDH and are taught best practices in data selection, gathering, modeling, cleaning, transformation, and maintenance, with the aim of producing a research dataset suitable for computational analysis. Though the CDH is committed to open access, we are aware of the challenges posed by protected or proprietary data. We seek applicants who are interested in participating in the CDH’s ongoing conversation about methodological, cultural, and ethical questions raised by curating humanities data.  

Affiliation with the CDH for Dataset Curation includes an orientation session, guidance from CDH staff, and participation in a project showcase at the end of the grant cycle. While grantees are primarily responsible for assembling and managing research teams, the CDH may assist in finding suitable graduate or undergraduate student research assistants and can provide guidance on project management. 

Princeton faculty, graduate students, staff and postdoctoral fellows may apply for awards of up to $5,000 to pay Princeton students as research assistants and other project costs. CDH funds may not be used for travel. In addition, faculty are eligible for a limited number of summer stipends of $7,500. Funds awarded to faculty and postdocs will be transferred to home departments for administration. The CDH may provide administrative support for grants awarded to graduate student and staff recipients if home departments or units are unable to do so.  

The grant cycle must begin between June and September 2019, and lasts 12 months.

Applicants must be formal Princeton University affiliates during the duration of the grant. Applications from Princeton staff must have supervisory approval, and must clearly indicate whether the project is an independent endeavor, or is tied to the applicant’s job responsibilities and department’s workflows and resources.

We are especially interested in projects that

*Applicants are encouraged to make use of material already digitized by Princeton University Library. For projects that require digital imaging of PUL materials, applicants must discuss plans with the librarian or curator overseeing the collection in advance of proposal submission.

The application should describe (in no more than 750 words, excluding budget):

  1. The material or collection to be used, and approximate scope (how many items)
  2. The main research questions that motivate the choice of material or collection, and current ideas about future applications of the dataset
  3. Any copyright, privacy, intellectual property or other concerns that might prevent the publication of the data in an open access format.
  4. If the project requires digitization of Princeton University Library materials, a summary of discussions with PUL librarians or curators
  5. Anticipated number of team members
  6. Anticipated start date
  7. Itemized budget, including any outstanding or planned funding requests.
    • Please note that standard pay rate for graduate students is $20/hour, and undergraduates range from $13-15/hour.
    • Applicants are highly encouraged to hire only currently-enrolled Princeton students
    • For faculty, all grant funds will be transferred to and managed by the recipient's home department 
    • Postdoc and graduate student applicants should speak to their Department Manger in advance of  submission about how grant funds can be managed 
    • Staff applicants should speak to their supervisor in advance of submission about how grant funds can be managed.

Applicants are encouraged to reach out to the CDH for consultations by using our consultation request form. Requests for grant consultations must be submitted no fewer than 5 working days before the deadline.  

For examples of recent Dataset Curation grant recipients, see brief descriptions of 2018-2019 projects and  Merle Eisenberg's story about his project. 

For an example of humanities data made publicly available in a standard formats, see the CDH's Derrida’s Margins Datasets page in the FigShare data repository, which contains data from the Derrida's Margins website in CSV and JSON formats. 

The CDH will hold two information sessions where staff will be available to discuss proposal drafts

Applications will be reviewed by the CDH Faculty Executive Committee.

Application material should be sent as a single PDF file to