How to cite
If you use CalcFi Open Data in research, journalism, or product copy, please cite both the dataset and the underlying primary source.
Plain text (APA)
Salmisto, J. (2026). CalcFi Open Data: 34 Free CC-BY Financial and Macro Time Series Mirrored from Primary Sources [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.32332290
BibTeX
@dataset{salmisto_2026_calcfi_open_data,
author = {Salmisto, Jere},
title = {CalcFi Open Data: 34 Free CC-BY Financial and Macro Time Series Mirrored from Primary Sources},
year = 2026,
publisher = {Figshare},
doi = {10.6084/m9.figshare.32332290},
url = {https://doi.org/10.6084/m9.figshare.32332290},
orcid = {0009-0000-0916-8684},
license = {CC-BY-4.0}
}
RIS
TY - DATA AU - Salmisto, Jere TI - CalcFi Open Data: 34 Free CC-BY Financial and Macro Time Series Mirrored from Primary Sources PY - 2026 PB - Figshare DO - 10.6084/m9.figshare.32332290 UR - https://doi.org/10.6084/m9.figshare.32332290 LA - en ER -
Pinning to a specific mirror
All five DOIs resolve to the same conceptual dataset, but pin to whichever registry your discipline expects:
| Mirror | DOI | Use when |
|---|---|---|
| Figshare | 10.6084/m9.figshare.32332290 | General-purpose academic citation |
| Zenodo (CERN) | 10.5281/zenodo.20302283 | European institutional research; FAIR-data compliance audits |
| OSF | 10.17605/OSF.IO/PUMKT | Preregistered studies and reproducibility-focused workflows |
| Kaggle | 10.34740/kaggle/dsv/16356447 | Notebook environments; ML competitions |
| Mendeley | 10.17632/jsnwhy6vjn.1 | Elsevier-adjacent submissions |
Citing the primary source too
The dataset is a mirror, not the primary source. When citing in scholarly work, you should cite the underlying publisher alongside the CalcFi Open Data DOI. The relevant publisher URL is in the # Source: and # Primary URL: comment lines of each CSV, and in the per-series datapackage.json. For example, when citing the 30-year mortgage rate series, cite both:
- CalcFi Open Data (mirror): 10.6084/m9.figshare.32332290
- Freddie Mac PMMS (primary): FRED MORTGAGE30US
Methodology paper
A companion methodology paper is under review at SSRN, describing the ETL approach, the no-imputation rule, the citation-comment-header CSV format, and validation results. When indexed, the SSRN identifier will be appended here.