What it sounds like: Kaan-stuh-layt
What it means:
verb: form or cause to form into a cluster or group; gather together.
Constellate helped users across all disciplines learn essential text analysis and data skills.
Constellate was sunset on July 1, 2025. For text analysis support using JSTOR text data, visit JSTOR Text Analysis support.
Constellate was a text analysis platform that integrated access to scholarly content and open educational resources into a cloud-based lab to help faculty more easily and effectively teach text analysis and data skills.
With Constellate, learners across all disciplines could apply text analysis methods to datasets, and hone their skills with support from on-demand tutorials, live classes taught by experts, and engagement with an inspiring user community.
Constellate connected researchers with the JSTOR corpus and content from 100+ publishers preserving with Portico, providing 421 years of primary and secondary sources across all fields of study, including 31M+ documents, 2M+ historic newspaper issues, and 27M+ scholarly journal articles.
Library and faculty could:
- Draw from ready-to-use curriculum and robust on-demand tutorials
- Prepare with live, expert-led classes, including a Teaching Text
Analysis with Constellate course (free to all members of participating
institutions) - Connect with an inspiring and supportive community of users
- Consult with Constellate experts on research questions and
curriculum customization - Create, save, and share your lessons
- Teach in the preconfigured, cloud-based Constellate Lab
Students could:
- Supplement faculty-led learning with Constellate-taught classes and on-demand tutorials
- Build confidence through hands-on practice in a cloud-based lab
- Seamlessly navigate between content, dataset building, lessons, and research
- Easily build clean datasets with content from JSTOR, Portico, and partners
- Instantly visualize search results to help refine ideas and form research questions