Skip to main content

Flexibility, Security, and Best Practices

1. Ensuring Security and Preventing Unauthorized Access​

Q. How does the system prevent unauthorized write operations to a Data Object? Are there additional checks needed beyond the isApprovedDataManager function to ensure security?

Data Objects are designed specifically for the type of data that they need to manage. For example, in our reference implementation, the Data Object is specialized in using Fungible Fractions. As such, the security checks must be customized to the specific needs of the use case.

Q. What safeguards are in place to prevent malicious Data Managers from accessing data within a Data Object?

There is an approval logic to allow only the Data Managers selected by the Data Point owner to change the data in a Data Object associated with the same Data Point.

2. Versioning and Upgradability​

Q. If I need to upgrade the Data Object or Data Index contracts, how can I safely replace these without disrupting the data stored or the functionality of existing Data Points?

This is more related to the good practices of upgradeable contracts. The new changes should not alter the stored data, and the new logic should be compatible with the old data structures to avoid unwanted conflicts.

Q: Is there a mechanism to handle the deprecation of older Data Managers, and how does this affect the overall system's interoperability?

This is closely related to the Data Index implementation used by the Data Manager. This minimalist version could be implemented with a mobility/portability feature to allow the Data Manager owner to switch to another Data Index implementation to enjoy new or different features.

3. Gas Optimization and Scalability​

Q: How does the architecture handle large-scale data operations, especially if a Data Object manages thousands of Data Points? Are there limits or performance considerations?

The architecture works via direct access to the data, avoiding iterations of Data Points and managing larger amounts of Data Points without affecting performance. The only limit is the number of Data Points a Data Point Registry can allocate, but since anyone can deploy a new one, this isn't a problem.