Research & Academia
Structured, citable web data for serious studies
Computational social science, economics and information-systems research increasingly depends on web-scale observation — but ad-hoc scraping produces datasets that can't be replicated, audited or cited with confidence.
Heroku supports research programs with methodologically documented collection, stable schemas, observation timestamps and archive-oriented delivery. We work with research teams to define sampling frames and document limitations honestly, because a study is only as good as its weakest methodological link.
What teams actually do with this
Replicable collection design
Documented source profiles and sampling approaches suitable for methods sections and replication packages.
Longitudinal studies
Scheduled observation over semesters or years with consistent schemas and archival storage.
Custom corpora
Domain-specific public-web corpora built to research specifications, with provenance metadata.
Ethics-aligned practice
Public data only, respectful collection rates and no personal-data collection — aligned with institutional review expectations.
The observation layer
Where teams start
Most research & academia programs begin with monitoring and intelligence, then add delivery into internal systems.
Public-web intelligence for research & academia
Tell us the decisions your team is making this quarter. We'll map the signals that inform them — feasibility first.
1 comment
The replication-package framing is compelling. Our IRB’s biggest objection to web datasets is always methodology opacity.