In field research, every personal account, observation and photograph is a valuable piece of data that helps the research team better understand the community. To build a comprehensive and reliable dataset, CKC follows a continuous cycle of collecting: reviewing, clarifying, supplementing and verifying data.

During social research in Dak Lak province in early September, CKC and its research team applied this cycle throughout the fieldwork, using each day’s findings to guide the next. The process includes three key steps:

1. Collecting information from multiple perspectives: CKC applies a mixed-methods approach, combining qualitative and quantitative techniques. In addition, the research team records field notes, takes photographs, and maps the study areas using GPS to visually capture the real-world context.
2. Daily data review and validation: Reviewing and cross-checking data each day is a key part of CKC’s research process. Researchers engage in peer discussions and verify findings with community groups to ensure accuracy. This process allows the team to promptly assess data quality and plan follow-up checks for subsequent sessions.
3. Observation and supplementation: Beyond clarifying existing information, CKC uses participant observation to capture tacit knowledge, including non-verbal cues across different cultural and social contexts that are often difficult to capture through written records or questionnaires.

The strength of CKC’s approach lies in its continuous feedback loop: today’s review guides tomorrow’s activities, and new insights feeds into the next round of verification. This iterative process sharpens the research focuses in real time, improving the consistency and depth of the dataset.

For CKC, data quality is shaped by both research methods and engagement with communities. Data quality is not just about numbers. It reflects the respect, attentive listening, accountability and transparency in working with communities.