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This paper proposes a template for documenting datasets that have beencollected from online platforms for research purposes. The template should helpto critically reflect on data quality and increase transparency in researchfields that make use of online platform data. The paper describes ourmotivation, outlines the procedure for developing a specific documentationtemplate that we refer to as TES-D (Total Error Sheets for Datasets) and hasthe current version of the template, guiding questions and a manual attached assupplementary material. The TES-D approach builds upon prior work in designingerror frameworks for data from online platforms, namely the Total ErrorFramework for digital traces of human behavior on online platforms (TED-On,https://doi.org/10.1093/poq/nfab018).

Total Error Sheets for Datasets (TES-D) -- A Critical Guide to Documenting Online Platform Datasets