Open FI$Cal presents non-confidential expenditure data extracted from the FI$Cal system. Currently, the site includes data from 153 departments. Data on Open FI$Cal is updated monthly, with a data lag of at least 60 days to allow departments to review their data before publication.
For more information, please refer to our FAQs, our Metadata, and our Transparency Data Handbook.
We welcome your thoughts on Open FI$Cal via our Feedback survey or email@example.com
Open FI$Cal contains data from 153 departments that use FI$Cal for their accounting, representing about 75% of California’s budgetary expenditures. Included departments are listed on our Included Departments page. Open FI$Cal does not contain data from departments that are deferred or exempt from using FI$Cal for their accounting.
Vendor name information is included in the Vendor Transactions report on Open FI$Cal. While the information in this report is as complete as possible, vendor name is not available for all expenditure transactions and is masked in some situations for which vendor identity must remain confidential. Specifically:
As Open FI$Cal evolves, we will follow these guiding principles:
We will adopt a presumption in favor of openness for all data that is not protected, sensitive, or confidential; release data to promote civic engagement and government accountability; and prioritize the publication of high-value datasets.
We will limit the publication of personally identifiable information to that which is both legally authorized and relevant, so as to minimize the risk of inappropriate identification and to protect the privacy rights of individuals. We will not disclose any information that is confidential per law, regulation, or contract.
We will incorporate public perspectives into open data policy and explore partnerships to leverage the impact of open data.
We will publish data using open standards and machine-readable formats, utilize open-source solutions where possible, and work toward implementing Application Programming Interfaces (APIs) to our data. We will strive to make our data as understandable as possible to non-experts.
We will develop processes to improve data quality and reporting.