Open Humans Data Standardization and Predictive Analysis Integration

[mikepsinn]

Open Humans empowers people with their personal data. From genomes to GPS: you can explore data analyses, do citizen science, and donate data to research.

The current implementation of Open Humans data access allows users to retrieve their data from various 3rd party sources in its original format. However, this process can be cumbersome and may require different parsing approaches for each data source. Furthermore, it does not provide a means for users to analyze their data for predictive relationships.

I propose that we integrate functionality to enable users to access their Open Humans data in a unified, standardized format and provide a feature to analyze it for predictive relationships. This will improve the usability and value of the Open Humans dataset for our users.

Benefits:

1. Ease of Access: By providing data in a unified, standardized format, users can easily access and understand their data, regardless of the original source.

2. Increased Usability: Standardized data simplifies comparison, aggregation, and analysis across multiple data sources.

3. Data Analysis: Enabling predictive analysis can provide users with insights and potential trends in their data that could not be easily identified otherwise.

4. User Empowerment: Users can make informed decisions based on their data and any patterns or trends that emerge from the predictive analysis.

User Story:

As an Open Humans user, I want to be able to access all my data in a standard format, regardless of the original source. I also want to be able to analyze my data to identify predictive relationships, trends, or patterns. This will help me understand my health and lifestyle better and make informed decisions based on the insights obtained.

Implementation:

1. Data Standardization: Modify the OpenHumansConnector.php to retrieve and standardize data from Open Humans. This involves transforming data from different sources into a common format that can be easily processed and analyzed.

2. Predictive Analysis: Implement an analytical model or use an existing library to identify predictive relationships within the standardized data. This will require careful consideration of the types of data and the potential relationships that may exist.

3. User Interface: Update the user interface to allow users to access their standardized data and view the results of the predictive analysis.

Stub API Connector:

The current stub for the API connector can be found at the following link: OpenHumansConnector.php

The connector will need to be extended to fetch data from the various sources, standardize it, and perform predictive analysis.

Please share your thoughts on this proposal and let me know if there are any questions or concerns. Your input is greatly appreciated as we work to enhance the functionality of our platform.