{
  "id": 5796939,
  "title": "Publishing an auditable company-trends dataset: what we chose to expose",
  "url": "https://urgent.news/2026/09/05/publishing-an-auditable-company-trends-dataset-what-we-chose-to-expose",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-05T16:07:13.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/datacheckresearch/publishing-an-auditable-company-trends-dataset-what-we-chose-to-expose-35b6"
  },
  "original_language": "en",
  "account": "Publishing an auditable company-trends dataset is crucial for transparency and reproducibility in research. At DataCheck Research, the focus is on exposing a small, reusable dataset of Israeli company-registration and status-change trends, rather than making grand claims about the economy based on a single monthly count. The purpose is to make the modelling process clear: what changed in the register, when, and according to which sources. Each registration date, dissolution event, and registry status update is treated as distinct events, as a lag in public register updates could lead to methodological weaknesses. Separate series are kept for registrations and status changes, and their sources are documented, labeling the combined series as a net-movement proxy rather than a census of operating businesses. For a reusable public dataset, provenance is key. Every series should trace back to its source and extraction method. The scope should be explicitly stated, including what the record represents and what it does not. Stable fields, such as a lightweight CSV format, make the dataset more enduring than a dashboard-only chart. Citation is essential for reuse to preserve visible attribution to the original source. Metadata should never replace a method note; a human explanation is necessary. The repository includes CSV files, methodology, contribution guidance, and a citation file, released under CC BY 4.0 to encourage reuse with visible credit and a link back to the source. The dataset and methodology can be found at https://github.com/DataCheckResearch/israel-company-trends-data and interactive visualizations at https://datacheck.co.il/trends. A public dataset gains trust when a skeptical reader can comprehend its origins, changes, and limitations.",
  "summary": "Open data is most useful when it is not merely downloadable, but explainable. At DataCheck Research, we publish a small, reusable dataset of Israeli company-registration and status-change trends. The objective is not to claim that one monthly count explains the economy. It is to make a constrained question reproducible: what changed in the register, when, and according to which sources? The…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}