For digital devices and their data about biodiversity, carbon sequestration and nature improvement
The standardised processes clarify the quality and trustability required of the data from digital devices/instruments. They prescribe how devices should be setup to accurately measure data, according to scientifically agreed processes, as defined by existing and emerging carbon and biodiversity codes. Evidence of device calibration and strong authentification, of data validation and verification and governance are explained. This will better enable investment in the nature-based solutions that will assist in the journey to net-zero. Reliable decision-grade data – gathered using calibrated and triangulated digital devices can be agreed through utilising standardised processes for digital data from digital devices measuring carbon biodiversity and nature improvements. There is need for an agreed language to make sure we can cross-reference, compare, share and combine data.
Example
We will get to a point where there is a grading of nature tech methodologies: e.g.
Rating | Data item standards | Digital device standards |
A grade | Collected from calibrated and authenticated IoT sensors, drones or satellite data, ag-tech robots or farm management software. Items collected are required by evidence based calculators, based on the the latest scientifically verified & IPCC validated Tier 2 or 3 methods. Provenance triangulated via date and time and GPS markers. Collection metrics configured to agreed vocabulary and scientific methods. High levels of coverage, representation, completeness and precision. Recorded and indexed on a verifiable governed /immutable registry which has equitable accessibility and environmental sustainability. Metadata descriptions include tags to agreed vocabulary. Data follows FAIR principles. | Strongly authenticated as valid source via security certificate or cryptographic public keys tested by API or data oracles. Provenance triangulated via date and time and GPS markers. Collection metrics configured to agreed vocabulary and scientific methods. Recorded and indexed on a verifiable governed / immutable registry which has equitable accessibility and environmental sustainability. Metadata descriptions include tags to agreed vocabulary. |
D grade | Manual data input into unverified calculator. Low levels of coverage, representation, completeness and precision. Recorded and indexed locally. Metadata uses terms outwith vocabulary. Not FAIR principles compliant. | Unauthenticated devices. Not triangulated. Recorded and indexed locally. Metadata uses terms outwith vocabulary. Not FAIR principles compliant. |
The standardised processes will cover data gathering, managing and analysis and governance journeys, and could eventually cover quality of sampling, and aggregation and infrastructure tools and APIs used in dashboards.
Do you have a project that could help us develop and test the standards? Join us!