Data

In this dMRV everything is open to where there is only one final layer of trust- the data itself. Trust minimized data collection can be done through a combination of remote sensing, IoT, and human sensing (such as with smart-phones). The data collected is stored permanently and immutably through current technology such as IPFS and Arweave. By multiple data sources backing up that a regenerative action has occurred, more accurate calculations can be created. When one of those inputs is inaccurate, the other data sources can openly show a dispute. When a dispute arises, the stakeholders of the dMRV system can confirm or deny the accuracy of the data. Scoring this data for quality, resolution, and temporal frequency can enable any entity utilizing the dMRV to compare the data sources they pay for. Allowing them to quickly choose the best dataset for their needs. Through this, data becomes highly available as many organizations strive to provide the best data for people’s needs. This puts publishers on a level playing field and allows the companies with the best data to naturally succeed. Along with that publishers can not only benefit from the dMRV utilizing the data but other organizations that might want their data (such as parametric insurance). When individuals can decide who gets access to their data, they can ensure it is used ethically. They can also willingly give access to their data to those attempting to create good causes.