data collection practices编辑历史

**Data collection practices** refer to the systematic methods and processes by which information is gathered from various sources for analysis, storage, or usage. These practices encompass a wide range of techniques—from manual surveys to automated digital tracking—and are employed across fields such as scientific research, business intelligence, healthcare, and technology development. The scope covers both structured (e.g., databases) and unstructured (e.g., text, images) data, and includes considerations of consent, accuracy, and storage. This entry provides a structured overview of the core methods, sources, applications, and governance of data collection practices, with an emphasis on established, non-controversial frameworks.

## 1 Data collection methods

### 1.1 Primary data collection
Primary data collection involves gathering original data directly from sources for a specific purpose.

#### 1.1.1 Surveys and questionnaires
Surveys and questionnaires are structured instruments used to collect self-reported information from a sample of individuals. They can be administered in paper, online, or verbal formats and often include closed-ended questions for quantitative analysis and open-ended questions for qualitative insights.

#### 1.1.2 Interviews and focus groups
Interviews involve one-on-one conversations between a researcher and a participant, allowing for in-depth exploration of topics. Focus groups bring together small groups of participants to discuss a subject under the guidance of a moderator, generating interactive dialogue and diverse perspectives.

#### 1.1.3 Observational methods
Observational methods involve watching and recording behaviors, events, or conditions in natural or controlled settings. These methods can be participant (researcher involved) or non‑participant (detached observer), and they yield rich contextual data without relying on self‑report.

### 1.2 Secondary data collection
Secondary data collection uses existing data ori