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:

MirrorDOIUse when
Figshare10.6084/m9.figshare.32332290General-purpose academic citation
Zenodo (CERN)10.5281/zenodo.20302283European institutional research; FAIR-data compliance audits
OSF10.17605/OSF.IO/PUMKTPreregistered studies and reproducibility-focused workflows
Kaggle10.34740/kaggle/dsv/16356447Notebook environments; ML competitions
Mendeley10.17632/jsnwhy6vjn.1Elsevier-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:

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.