Grants paid by Scleroderma Clinical Trials Consortium Inc
EIN 04-3543489 · Boston, MA · Form 990, Schedule I · NTEE H99
Scleroderma Clinical Trials Consortium Inc of Boston, MA (EIN 04-3543489) reported 7 grants paid totaling $183,000 to 6 recipients in tax years 2018–2023, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$183,000
7 grants
Recipients
6
distinct organizations
Tax years
2018–2023
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2018 | 2 | $12,000 | — |
| 2021 | 3 | $50,000 | — |
| 2022 | 1 | $46,000 | — |
| 2023 | 1 | $75,000 | — |
Top recipients
The 6 recipients receiving the most from Scleroderma Clinical Trials Consortium Inc, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Regents of University of Michigan 38-6006309 | D | Ann Arbor, MI | 2 | $95,000 | 2023 |
| Boston University Rheumatology International Workshop On Sclerderm | U | Boston, MA | 1 | $46,000 | 2022 |
| Albany Medical College 14-1338310 | B | Albany, NY | 1 | $20,000 | 2021 |
| Stanford University 26-4580872 | C | Stanford, CA | 1 | $10,000 | 2021 |
| Vivian Hsu Grant Funds (rutgers) | U | Piscataway, NJ | 1 | $6,000 | 2018 |
| Northwestern University John Varga Md 36-2167817 | D | Chicago, IL | 1 | $6,000 | 2018 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Every grant
All 7 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Regents of University of Michigan Ann Arbor, MI | D | $75,000 | paid | MEDICAL RESEARCH | 202433209349311433 |
| 2022 | Boston University Rheumatology International Workshop On Sclerderm Boston, MA | U | $46,000 | paid | MEDICAL RESEARCH | 202320809349301517 |
| 2021 | Albany Medical College Albany, NY | B | $20,000 | paid | MEDICAL RESEARCH | 202221599349300817 |
| 2021 | Regents of University of Michigan Ann Arbor, MI | D | $20,000 | paid | MEDICAL RESEARCH | 202221599349300817 |
| 2021 | Stanford University Stanford, CA | C | $10,000 | paid | MEDICAL RESEARCH | 202221599349300817 |
| 2018 | Vivian Hsu Grant Funds (rutgers) Piscataway, NJ | U | $6,000 | paid | MED RESEARCH WORKSHOP | 201932429349300808 |
| 2018 | Northwestern University John Varga Md Chicago, IL | D | $6,000 | paid | MED RESEARCH WORKSHOP | 201932429349300808 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Source filings
Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.0 | 202433209349311433 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202320809349301517 |
| 990 | 2021 | 2021-12-31 | not stated | 2021v4.0 | 202221599349300817 |
| 990 | 2018 | 2018-12-31 | not stated | 2018v3.1 | 201932429349300808 |
Derived from IRS Form 990 e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/043543489.json.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.