Our Process
DNP is a research organization and product development team.
Alongside development of the Dataset Nutrition Label, we conduct research into the broader landscape of tools and practices designed to address problems in underlying data.
Shaping the future of data documentation
A selection of our research and frameworks advancing best practices in data quality and transparency.
The CLeAR Documentation Framework (2024)
This report introduces the CLeAR Documentation Framework to offer guiding documentation principles, co-authored by leading scholars.
Quality Measures for Humanitarian Data (2023)
A report investigating documentation and UX opportunities to communicate data quality for The Centre for Humanitarian Data (UN OCHA).
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence (2022)
A follow-up to the original paper that focuses on the importance of context in the generation of dataset documentation.
The Dataset Nutrition Label: A Framework to Drive Higher Data Quality Standards (2018)
Our original research paper introducing the Dataset Nutrition Label framework, a documentation standard to provide greater transparency into datasets.
Our inspiration
We have drawn inspiration from and conducted research alongside a number of initiatives within the dataset transparency and documentation ecosystem, including:
Impact Through Partnerships
Featured collaborations
Short educational animated videos to demystify AI concepts
An ongoing series of animated short videos that turn Microsoft Research papers into bite-sized, easily-digestible educational explainers.
Quality measures for humanitarian data
A collaboration with The Centre for Humanitarian Data (UN OCHA) to build a product roadmap for implementing data quality features.
MA non-profit funding dataset & analysis
We partnered with the New Commonwealth Fund to build and analyze data about non-profit funding landscape, with an eye towards equity and policy opportunities
AI for city government curriculum
To help address the educational gap around AI in local government, we partnered with Johns Hopkins University
International Skin Imaging Collaboration
The International Skin Imaging Collaboration (ISIC) is a global initiative aimed at reducing deaths from melanoma a…
Insightful Conversations
Recent engagements
Ongoing
Lecturers, Howard / Mathematica Summer Institute in Computational Social Science
The Summer Institute brings together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science.
2024
Innovative Tech Grant Recipient, New Media Ventures
NMV invests in entrepreneurs and activists wrestling with the biggest challenges facing our democracy.
2024
“Civil Society Informing AI Governance and Standards”, International Association of Privacy Professionals (IAPP)
Data Nutrition Project presented on a panel alongside other civil society organizations in a discussion about the importance of AI governance and standards.
2023
Innovation in Regulatory Science awardee, The Burroughs Wellcome Fund
Awarded for developing an independent audit framework for artificial intelligence in medicine in collaboration with Dr. Rotemberg from Memorial Sloan Kettering Cancer Center.
2023
Infrastructure Grant Awardee, Mozilla Foundation
Awarded for explorations of the AI auditing landscape through convening experts in a closed-door, facilitated session.
2022
Putting Science into Standards (PSIS) Program, the European Commission’s Joint Research Centre (JRC) CEN, CENELEC
Participation in programming around dataset standards.
2022
Digital Humanity Award, Prix Ars Electronica
International arts-science honor awarded to the Data Nutrition Project for the design and release of the second generation of the Dataset Nutrition Label.
2021
Technology and Public Purpose (TAPP) Project at the Harvard Kennedy School Belfer Center, Tech Spotlight
The Tech and Public Purpose “Spotlight” is a recognition program that highlights digital initiatives that demonstrate a commitment to public purpose.
