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Handling manual data entries in ROOK
Handling manual data entries in ROOK

This article explores how ROOK manages manual data entries from the various data sources.

Jonas Ducker avatar
Written by Jonas Ducker
Updated over 5 months ago

Most wearable devices provide users with the option to manually enter data, such as logging activities or inputting body weight and other metrics. This article explores how ROOK manages manual data entries from various sources, addressing the specifics of data acceptance and rejection to ensure data integrity and reliability.

ROOK's approach to manual data entries:

Apple Health Integration:

  • ROOK does not collect data entered manually that could be generated via the Apple Watch such as activity data, etc.

  • ROOK accepts manually entered data in Apple Health that the Apple Watch is not able to measure such as basal temperature, blood pressure, and blood glucose.

Health Connect Integration:

  • Our Health Connect SDKs allow all manually entered data to pass through. In this data source, ROOK unfortunately does not have information about whether or not the data in the first place was generated automatically via a wearable or created/generated manually.

Polar, Fitbit, Garmin, Oura, and Withings Integrations:

  • ROOK does not accept manual data related to events or summaries to maintain data reliability and consistency.

  • Manual creation of summaries or events related to any pillar (body, sleep, or physical) will be rejected by ROOK services, ensuring that such data is not retained or transmitted to the client.

  • This approach is essential to prevent potential manipulation of metrics and scores, which could impact benefits offered to users.

Accepted Manual Data:

  • The only manual data accepted across all sources includes weight, height, gender, and name. ROOK recognizes the importance of allowing users to input basic personal information while safeguarding the integrity of more complex metrics.

Conclusion:

ROOK's strategy regarding manual data entries is rooted in a commitment to providing reliable and standardized data to users. By carefully managing the acceptance and rejection of manual entries, ROOK ensures the accuracy of the metrics and scores offered to clients, promoting transparency and trust in the data provided by wearable devices.

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