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Electronic data capture

collecting data in electronic formats

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General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionJul 20, 2026
Entity authorityQ5358348
Source-derived summary

An electronic data capture (EDC) system is a computerized system designed for the collection of clinical data in electronic format for use mainly in human clinical trials. EDC replaces the traditional paper-based data collection methodology to streamline data collection and expedite the time to market for drugs and medical devices. EDC solutions are widely adopted by pharmaceutical companies and contract research organizations (CRO).

Typically, EDC systems provide:

a graphical user interface component for data entry

a validation component to check user data

a de-identification component to make data less identifiable

a reporting tool for analysis of the collected data

EDC systems are used by life sciences organizations, broadly defined as the pharmaceutical, medical device and biotechnology industries in all aspects of clinical research, but are particularly beneficial for late-phase (phase III-IV) studies and pharmacovigilance and post-market safety surveillance.

EDC can increase data accuracy and decrease the time to collect data for studies of drugs and medical devices. The trade-off that many drug developers encounter with deploying an EDC system to support their drug development is that there is a relatively high start-up process, followed by significant benefits over the duration of the trial. As a result, for an EDC to be economical the saving over the life of the trial must be greater than the set-up costs. This is often aggravated by two conditions:

that initial design of the study in EDC does not facilitate the decrease in costs over the life of the study due to poor planning or inexperience with EDC deployment; and

initial set-up costs are higher than anticipated due to initial design of the study in EDC due to poor planning or experience with EDC deployment.

The net effect is to increase both the cost and risk to the study with insignificant benefits. However, with the maturation of today's EDC solutions, much of the earlier burdens for study design and set-up have been alleviated through technologies that allow for point-and-click, and drag-and-drop design modules.

Editorial summary

This brief starts where responsible research should: with the source description of “Electronic data capture” as collecting data in electronic formats. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current 328-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. The account is most persuasive where Electronic, data and capture can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the general reference register because the source frames it as collecting data in electronic formats. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Jul 20, 2026. The linked authority identifier is Q5358348. None of the 0 selected statements returned an explicit reference.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

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The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Electronic data capture”, its source revision and the description used here.
  2. Expand the search: follow Electronic data capture primary sources, Electronic data capture archive and Electronic research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Electronic data capture”?
  2. What terminology or title could unlock a more precise catalogue search?
  3. Which cited source is closest to the event, object or claim?
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Source & attribution

This entry incorporates text from Electronic data capture” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.