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FamilySearch GEDCOM, or simply GEDCOM (/ˈdʒɛdkɒm/ JED-kom, acronym of Genealogical Data Communication), is an open file format and the de facto standard specification for storing genealogical data. It was developed by the Church of Jesus Christ of Latter-day Saints (LDS Church), the operators of FamilySearch, to aid in the research and sharing of…
The analysis highlights Standards, File structure and Versions as prominent areas in the source structure around GEDCOM.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around GEDCOM shows recurring relationship patterns in the source. For example, GEDCOM → Although, Every, FAM, For, Gedcheck, HEAD, INDI, LDS Church, NOTE, OBJE, PhpGedView, REPO, SOUR, SUBM, SUBN, The Windows GEDCOM Validator, TRLR, Within Another extracted example is GEDCOM → An, ANSEL, Chinese, CJK, Despite, East Asian, FamilySearch, Its, Japanese, Korean, Lineage-linked GEDCOM, November, PAF, The, Unicode, Uniform, UTF-8, UTF-8 GEDCOM. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
standard file data familysearch records genealogical specification information events family genealogy format release software version support event example also used
TTTA extracted 145 structured relationships around GEDCOM. Examples in this analysis include GEDCOM → Developed by → LDS FHD and GEDCOM → Filename extension → .mw-parser-output .monospaced{font-family:monospace,monospace} .ged. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| GEDCOM | Developed by | LDS FHD | 1.00 | infobox |
| GEDCOM | Filename extension | .mw-parser-output .monospaced{font-family:monospace,monospace} .ged | 1.00 | infobox |
| GEDCOM | Initial release | 1984; 42 years ago (1984) | 1.00 | infobox |
| GEDCOM | Internet media type | application/vnd.familysearch.gedcom application/vnd.familysearch.gedcom+zip | 1.00 | infobox |
| GEDCOM | Latest release | 7.0.18 17 February 2026; 6 months ago (2026-02-17) | 1.00 | infobox |
| GEDCOM | Open format? | yes | 1.00 | infobox |
| GEDCOM | Standard | De facto | 1.00 | infobox |
| GEDCOM | Type of format | Genealogy data exchange | 1.00 | infobox |
| GEDCOM | Website | gedcom.io github.com/familysearch/GEDCOM | 1.00 | infobox |
| GEDCOM | is a | deliberate de facto common denominator | 0.90 | text |
| names | instance of | This file contains genealogical information about individuals | 0.80 | text |
| events | instance of | This file contains genealogical information about individuals | 0.80 | text |
The concept neighborhoods around GEDCOM bring nearby vocabulary together. In this analysis, examples include File, Standard and Specification. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For GEDCOM, one of the stronger structural bridges in this analysis connects GEDCOM with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around GEDCOM to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, File structure & Versions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — GEDCOM · EN edition · Analysis: TopicsToTalkAbout