We provide consultations about building data-driven websites, websites which rely on a database to serve organized data into webpages. These websites are specifically for projects where data are central to the research and project purpose, so that they can be visualized and explored.
We support faculty and students in organizing and formatting their data for data-driven websites, as well as recommending different platforms to best present that data. Reflecting the cross-disciplinary nature of data, we assist researchers from departments and schools throughout the university.
For data-driven websites we support the following, depending on your needs:
The Sounding Spirit Digital Library (SSDL) showcases over 1,250 volumes of southern sacred vernacular song published between 1850 and 1925 that represent diverse musical genres, religious groups, and singing traditions. The library’s single access point brings together a canon of music from seven partner institutions that cuts across regional, religious, racial, and cultural lines.
The Trans-Atlantic and Intra-American slave trade databases are the culmination of several decades of independent and collaborative research by scholars drawing upon data in libraries and archives around the Atlantic world. The new SlaveVoyages website itself is the product of three years of development by a multi-disciplinary team of historians, librarians, curriculum specialists, cartographers, computer programmers, and web designers, in consultation with scholars of the slave trade from universities in Europe, Africa, South America, and North America. The National Endowment for the Humanities was the principal sponsor of this work carried out originally at Emory Center for Digital Scholarship, the University of California at Irvine, and the University of California at Santa Cruz. The Hutchins Center of Harvard University has also provided support. The website is currently hosted at Rice University.
The AIAI Data Collective (Atlanta Interdisciplinary Artificial Intelligence Data Collective) is dedicated to modeling best practices for contextual, reflexive, and ethical data collection, documentation, storage, and sharing of machine learning datasets.
The Post45 Data Collective is a peer-reviewed, open-access repository for literary and cultural data from 1945 to the present.