Dataset Curation Grants
THIS GRANT WILL BE OFFERED AGAIN IN SPRING 2019. SOME DETAILS MAY BE REVISED.
The CDH’s new 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 social 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. Faculty are eligible for a limited number of summer stipends of $7,500. The grant cycle must begin between July and September, and lasts 12 months.
We are especially interested in proposals that
- Have a public-facing orientation
- Work with community-generated material
- Use Princeton University Library collections
- Involve undergraduates as researchers
- Have sought or plan to seek additional resources (e.g. David A. Gardner Grants, UCRHSS grants, the Anonymous Fund for undergraduate research assistance).
The application should describe (in no more than 750 words):
- The material or collection to be used, and approximate scope (how many items)
- The main research questions that motivate the choice of material or collection, and current ideas about future applications of the dataset
- Any copyright, privacy, intellectual property or other concerns that might prevent you from publishing the data in an open access format.
- Anticipated number of team members
- Anticipated start date
- Itemized budget, including any outstanding or planned funding requests
Applications will be peer-reviewed by the CDH Faculty Executive Committee.
Proposals should be submitted as a PDF file to Natalia Ermolaev at firstname.lastname@example.org.