The latest articles on DEV Community by DataCheck Research (@datacheckresearch). https://dev.to/datacheckresearch https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4111365%2F107b6048-271b-4836-97a0-ecd8b65b2337.png https://dev.to/datacheckresearch en DataCheck Research Sat, 05 Sep 2026 16:07:13 +0000 https://dev.to/datacheckresearch/publishing-an-auditable-company-trends-dataset-what-we-chose-to-expose-35b6 https://dev.to/datacheckresearch/publishing-an-auditable-company-trends-dataset-what-we-chose-to-expose-35b6 <p>Open data is most useful when it is not merely downloadable, but explainable.</p> <p>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?</p> <h2> The modelling choice </h2> <p>A registration date, a dissolution event and a registry status update are not interchangeable. In particular, an update appearing in a public register may lag the legal event behind it. Treating all status changes as the same event creates a chart that looks decisive but is methodologically weak.</p> <p>We therefore keep separate series for registrations and status changes, document their provenance, and label the combined series as a <em>net-movement proxy</em> rather than a census of operating businesses.</p> <h2> What a reusable public dataset needs </h2> <ol> <li> <strong>Provenance.</strong> Every series should lead back to its source and extraction method.</li> <li> <strong>Scope.</strong> State what the record represents and what it does not.</li> <li> <strong>Stable fields.</strong> A lightweight CSV is often more durable than a dashboard-only chart.</li> <li> <strong>Citation.</strong> Reuse should preserve visible attribution to the original source.</li> <li> <strong>A human explanation.</strong> Metadata is not a substitute for a method note.</li> </ol> <p>The repository includes CSV files, methodology, contribution guidance and a citation file. It is released under CC BY 4.0: reuse is welcome with visible credit and a link back to the source.</p> <ul> <li>Dataset and methodology: <a href="https://github.com/DataCheckResearch/israel-company-trends-data" rel="noopener noreferrer">https://github.com/DataCheckResearch/israel-company-trends-data</a> </li> <li>Interactive company trends: <a href="https://datacheck.co.il/trends" rel="noopener noreferrer">https://datacheck.co.il/trends</a> </li> </ul> <p>A public dataset earns trust when a skeptical reader can understand where it came from, what changed, and where its limits are.</p> <h1> opendata #datascience #research #dataviz </h1> analysis analytics data