Annual Reports & Financials
BLOODPAC is a member driven and member funded organization. Annual membership dues support BLOODPAC’s staff, infrastructure, and help to develop and maintain the BLOODPAC Data Commons, as well as provide funding for core programs and publications.
Funds are not used to benefit directly or indirectly any healthcare professionals and all expenditures are consistent with IRS and other federal regulations governing 501(c)(3) corporations, including those related to conflict of interest. BLOODPAC adheres to standards that reflect our commitment to public accountability and social responsibility.
BLOODPAC is committed to sharing data in a responsible, secure and compliant manner to accelerate research and to improve patient outcomes, while respecting patient rights and consents.
Supplemental information from the 2020, 2021 & 2022 Center for Computational Science Research, Inc. audited financial statements.
Guidestar Ratings
We are proud to be recognized by Guidestar for our unique approach. BLOODPAC has earned GuideStar USA’s Bronze Seal of Transparency. By providing information about CCSR/BLOODPAC’s goals, strategies, capabilities, achievements and progress indicators.
CCSR
BLOODPAC is organized as an independent consortium called the “BLOODPAC Consortium", which is an independent operating division of the not-for-profit Center for Computational Science Research, Inc. (CCSR). CCSR is a 501(c)(3) not-for-profit IL corporation (FEIN 26-1866627). Its ruling year is 2009 (the year the IRS recognized it as a 501(c)(3) corporation).
The BLOODPAC Consortium has separate finances, including its own bank account, and its own Advisory Board. All funds raised by the BLOODPAC Consortium are passed through directly to BloodPAC for its prioritization and use.
CCSR was founded in 2008 and hosts other independent consortia in addition to the BLOODPAC Consortium: the Data Mining Group, which develops analytic standards; the Open Commons Consortium, which develops and operates data commons and cloud computing infrastructure to support scientific, biomedical and environmental research; and, the Pandemic Response Consortium, which develops data commons and data ecosystems to support research and response efforts for epidemics and pandemics, such as COVID-19.