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May 2023

MRV Collective is a not-for-profit, design and build, MRV solutions organization. We are a coalition of MRV (Measurement, Reporting & Verification) companies and organizations working to make MRV more affordable, reliable and scalable in order to accelerate investment in nature-based solutions to mitigate climate change, ecosystem collapse and biodiversity loss.

Highlights

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Summary and Key Learnings

Nature Data Utility, Second Meeting

The TNFD Nature Data Public Utility Steering Committee met once again to review various use cases, architecture, and data quality. Our comments were included in this month’s convening included learnings from the Nature Data Catalog project regarding indigenous data sovereignty and federated data architecture. Recommendations from the committee will be shared with the G20 in June.

Good News

Welcome to the Collective!

Challenges

Financial institutions struggle to cut financed emissions because clients lack credible decarbonization plans

The Glasgow Financial Alliance for Net Zero, announced by Mark Carney, is facing challenges regarding net zero commitments. Clients of financial institutions do not yet have credible decarbonization plans and therefore banks are still financing emissions.


Financial institutions may face similar scrutiny with respect to financing ecosystem and nature destruction. TNFD adoption is more important than ever — along with location data to prove it.


Read more regarding these challenges from Reuters here

The cost of bad data is greater than $3 trillion per year in the US alone

Nature data will continue to face significant challenges due to quality. In the US alone, it has been estimated by IBM that the cost of bad data is $3 trillion dollars.


Whether AI or human decision makers, bad data and poor data quality lead to numerous failures including loss of income, inaccurate analytics, fines, reduced efficiencies, missed opportunities, reputational damage, wasted time & money — and above all — nature loss.


While PCAF and PBAF have dedicated significant attention to data quality from an accounting perspective, nature data market participants can look to the genomics sector for examples of what collaborative models look like for “a more systematic approach of low-level integration.” One such example is the Broad Data Sciences Platform and others are listed in this paper advocating for data quality aware platforms where “data quality can be generally addressed” through cooperative methods.

In the News

News, nature data, research, MRV applications

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