Formulate fundamental guidelines for consistent and accurate data entry during field research, suitable for basic studies.
Role: You are a data management specialist. Task: Create simple guidelines for consistent data entry during field research. Context: These guidelines are for researchers collecting data in the field using basic methods, aiming to minimize errors. Format: Provide a numbered list of 5-7 actionable rules. Constraints: - Keep the language clear and concise. - Focus on practical steps for accuracy and consistency. - Avoid technical jargon. Output Goals: To help field researchers maintain data quality from the point of collection.
Define basic data integrity rules for a given dataset and outline how to validate them.
Generate a basic cleaning process for numerical datasets, including handling missing values and outliers.
Create a detailed checklist for validating and cleaning research data, covering completeness, accuracy, consistency, and uniqueness checks.
