About

About

Constellate, the new text and data analytics service from JSTOR and Portico is a platform for learning and performing text analysis, building datasets, and sharing analytics course materials. The demand for analytics skills across all domains is growing exponentially. Text and data analysis is one of those skills, yet it

Collections to Analyze

JSTORJSTOR is a digital library for the intellectually curious. We help everyone discover, share, and connect valuable ideas. Content Type: journal articles, book chapters, research reports Size: over 14 million documents Document Publication Date Distribution: Distribution of JSTOR Content in Constellate by Year from 1700-CurrentMetadata Quality: High Text Accuracy: High

Participate and Roll Out

The demand for analytics skills across all domains is growing exponentially. Text and data analysis is one of those skills, yet it remains difficult to learn. Researchers and students are often teased by black box, point-and-click tools that produce a few quick visualizations that whet the appetite; however, the next

What is Constellate?

Constellate, the new text and data analytics service from JSTOR and Portico is a platform for learning and performing text analysis, building datasets, and sharing analytics course materials.  The platform provides value to users in three core areas -- they can teach and learn text analytics, build datasets from across

Technology Driving Constellate

Constellate uses the following software: Ghost -- a publishing platform that hosts our “about” and help pagesAWS -- our platform is built in the cloud and is currently running in Amazon Web Services.BinderHub -- the web application behind our Analytics LabJupyter -- our code tutorials are all written in

Participating Institutions

Institutions in the Beta EvaluationContact us at tdm@ithaka.org to be the first! Reference InstitutionsTen institutions of higher education worked with us to develop the platform from late 2019 through 2020: Carnegie Mellon UniversityJames Madison UniversityNew York UniversityNortheastern UniversityUniversity of CambridgeUniversity of PittsburghUniversity of SydneyUniversity of VirginiaWake Forest UniversityYale

Differences from JSTOR's Data for Research (DfR)

The new platform offers a modern revitalization of the existing JSTOR DfR service. The key improvements include: Considerably more content, including an additional 15 million articles from over 3,000 journals and 42 publishers.A number of built-in visualizations, including an n-gram or term frequency viewer.An Analytics Lab that

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