Source register
Review the principal upstream datasets behind Akashic, what each contributes, how it is transformed, and which licensing or interpretation limits remain.
Akashic combines public election, Census, geographic, religion, registration, migration, and officeholder sources. This page is an orientation to the principal source families; the record-level provenance manifest remains the final source for a specific figure.
Presidential elections
| Source family | Primary use | Important notes |
|---|---|---|
| ICPSR historical election archives | Early county presidential returns | Sparse in the earliest period; 1876–1888 remains partial |
| MIT Election Data and Science Lab | Modern county/state/national election series and candidate returns | Used without altering certified vote totals; party/candidate normalization is documented |
| State election authorities | Recent certified official results, including 2024 | State-specific formats and certification dates vary |
| VEST precinct files | Precinct geometry and election returns | Coverage and field conventions differ by state/cycle; rollups are validated against certified totals |
| MEDSL precinct collections | Additional precinct and downballot coverage | Candidate and office schemas require normalization and reconciliation |
| OpenElections and state-specific files | Gap filling where licensed and verified | Used only when the source and reconciliation contract are documented |
Akashic does not use newswire election-night totals as the permanent certified historical record.
Demographics and geography
| Source family | Primary use | Important notes |
|---|---|---|
| US Census Bureau decennial products | Population and geographic foundations | Geography vintage must match the analysis |
| American Community Survey five-year products | Income, age, race/ethnicity, ancestry, language, education, poverty, and related measures | Each field has a table/universe and survey vintage; margins of error may matter even when not displayed |
| Census TIGER/Line and cartographic boundaries | Geographic identifiers and shapes | Boundary simplification may be used for display while analytical rollups use more detailed source geometry |
| Census geographic crosswalks | Parent relationships and current identifiers | Crosswalk method matters when historical results are presented on modern boundaries |
Religion
The US Religion Census / ASARB source family supports religion-adherence context. Counts are tied to congregation location and may understate resident religious participation in small or sparse counties whose residents travel to a regional hub. Akashic may provide commuting-zone service-shed context; that context is not a direct county observation.
Voter registration
Registration data comes from state election agencies or official state reports. States differ in whether they register voters by party, whether inactive registrations are reported, and how often files are updated. A missing party split in a no-party-registration state is structurally unavailable, not zero.
Migration and economic context
Migration and economic modules use the source named in the record or methodology, including Census/ACS and other public statistical series where applicable. Time windows, inflation basis, and geographic crosswalks must remain attached to derived comparisons.
Officeholders and ideology
Current officeholder records combine official or maintained rosters with public biographical and legislative sources. DW-NOMINATE or similar ideology measures use their source's Congress/session and interpretation. An ideology score is a model coordinate, not a universal left-right truth.
Transformations
Common transformations include:
- identifier normalization;
- candidate and party normalization while retaining literal ballot labels;
- aggregation from precincts to place or district geography;
- reconciliation to certified county/state totals;
- boundary crosswalks;
- inflation or denominator normalization where stated;
- derived margin, swing, rank, similarity, and comparison metrics;
- static artifact generation and provenance manifests.
A transformation must never create the appearance of native precision that the source did not contain.
Licensing and attribution
Akashic's public license does not replace upstream terms. Before redistributing a combined dataset:
- read the repository
LICENSEand publicATTRIBUTION.txt; - retain source names and required notices;
- check whether a source permits redistribution of raw files or only derived results;
- preserve the retrieval date and transformation path;
- avoid implying that an upstream agency endorses Akashic's interpretation.
Record-level verification
For a specific figure, prefer the provenance attached to the page/record or generated provenance manifest over this summary. Source coverage can change after a bake, and a single state-cycle may use a different file than the general source family.