Process / pipelineData collection

Pilot-tested API-based Data Collection

Pilot-tested API-based data collection is a structured digital data-gathering approach in which a researcher designs an API query or harvesting script and then runs a small-scale trial before executing the full collection. The pilot phase exposes authentication issues, rate-limit constraints, schema inconsistencies, and coverage gaps, enabling targeted refinements that protect the integrity and completeness of the final dataset. It bridges the software-engineering practice of integration testing with the social-science tradition of instrument pre-testing.

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Sources

  1. Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648
  2. Presser, S., Couper, M. P., Lessler, J. T., Martin, E., Martin, J., Rothgeb, J. M., & Singer, E. (2004). Methods for testing and evaluating survey questions. Public Opinion Quarterly, 68(1), 109–130. DOI: 10.1093/poq/nfh008

Related methods

ScholarGatePilot-tested API-based data collection (Pilot-tested API-based Data Collection). Retrieved 2026-06-04 from https://scholargate.app/en/survey-methodology/pilot-tested-api-based-data-collection