Liabilities / Assets
70th percentile
Tied with the lowest-debt nonprofits in its peer group.
Data Nutrition Project Inc.
990EZ • Fiscal year 2022 • EIN 84-2225081
Siviq Scores
Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.
0.00x
Liabilities / Revenue
72nd percentile
Tied with the lowest-debt nonprofits in its peer group.
Net Margin
12th percentile
Higher net margin than 12% of similar nonprofits.
Top Officer Pay
90th percentile
Higher top officer pay than 90% of similar nonprofits.
Top officer pay equals 0.0% of source-year revenue.
Asset Growth
8th percentile
Faster asset growth than 8% of similar nonprofits.
Revenue Growth
77th percentile
Faster revenue growth than 77% of similar nonprofits.
Balance Sheet
Assets
Down$20,406
Down $17,494 (-46%) from 2021
Net Assets
Down$20,406
Down $17,494 (-46%) from 2021
Liabilities
$0
No earlier filing loaded for comparison.
Revenue And Expenses
Revenue
Up$61,150
Up $21,150 (+53%) from 2021
Expenses
Up$80,744
Up $78,644 (+3745%) from 2021
Net Income
Down-$19,594
Down $57,494 (-152%) from 2021
Historical Trend
Jump To
Filing Snapshot
- Filing Period
- Jan 1, 2022 to Dec 31, 2022
- Signed
- May 16, 2023
- Return Version
- 2022v5.0
- Gross Receipts
- $61,150
Mission and Program Overview
Mission
The Data Nutrition Project creates dataset quality standards and fosters conversations around the topics of responsible data creation and use. Our belief is that deeper transparency into dataset health can lead to better data decisions, which in turn lead to better Al. Founded in 2018 through the Assembly Program at the Berkman Klein Center at Harvard University, our research team takes inspiration from nutritional labels on food, aiming to build labels that highlight the key ingredients in a dataset. Examples include metadata and populations, unique or anomalous features regarding distributions, missing data, and comparisons to other 'ground truth' datasets.
Program Services
| Description | Grants | Expenses |
|---|---|---|
| The Data Nutrition Project creates dataset quality standards and fosters conversations around the topics of responsible data creation and use. Our belief is that deeper transparency into dataset health can lead to better data decisions, which in turn lead to better Al. Founded in 2018 through the Assembly Program at the Berkman Klein Center at Harvard University, our research team takes inspiration from nutritional labels on food, aiming to build labels that highlight the key ingredients in a dataset. Examples include metadata and populations, unique or anomalous features regarding distributions, missing data, and comparisons to other 'ground truth' datasets. Form 990-EZ, Part V - Regarding Transfers Associated with | $61,150 | $80,744 |
Compensation and Service Providers
Employees
| Name | Title | Full / Part Time | Base | Other | Total |
|---|---|---|---|---|---|
| Mary Gray | President | PT | $0 | - | - |
| Jessica Larkin Fjeld | Secretary | PT | $0 | - | - |
| Joshua Joseph | Treasurer | PT | $0 | - | - |
Filing and Contact Details
Filer
- Filer Name
- Data Nutrition Project Inc
- EIN
- 84-2225081
- Phone
- 8622626646
- Address
- 25 Duncan Avenue, Jersey City, NJ 07304
Signing Officer
- Name
- Joshua Joseph
- Title
- Treasurer
- Phone
- 8622626646
- Signed
- 2023-05-16
- Discuss with paid preparer
- Yes
Preparer
- Firm
- Schwartz & Gomez Tax and Accounting LLP
- Address
- 222 Bidwell Avenue, Jersey City, NJ 07305
- Preparer
- Sara Schwartz
- Phone
- 2013328703
Supplemental Narrative
Additional Explanations
Form 990-EZ, Part I, Line 16
“Description;Amount^Supplies;217|Software;183|Bank Fees;40|Annual Registration Fee;33|Taxes;1372|Accountant;1500|Incorporation Fees;1100|Travel and Travel Meals;1058^Total;5503^”
Raw XML Appendix170 raw XML fields
This appendix keeps the raw XML leaves available for debugging and edge-case review. The human report above is the primary experience.
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| IRS990EZ/PrimaryExemptPurposeTxt | 0 | The Data Nutrition Project creates dataset quality standards and fosters conversations around the topics of responsible data creation and use. Our belief is that deeper transparency into dataset health can lead to better data decisions, which in turn lead to better Al. Founded in 2018 through the Assembly Program at the Berkman Klein Center at Harvard University, our research team takes inspiration from nutritional labels on food, aiming to build labels that highlight the key ingredients in a dataset. Examples include metadata and populations, unique or anomalous features regarding distributions, missing data, and comparisons to other 'ground truth' datasets. |
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Document Assets
No mirrored PDF or thumbnail assets are attached yet.
Filings
Displayed year
2022 • Form 990EZDetailed filing. Detailed filing data is available for this year.
- Assets
- $20,406
- Liabilities
- $0
- Net assets
- $20,406
- Revenue
- $61,150
- Expenses
- $80,744
- Net income
- -$19,594