Adopt the role of a data validation expert tasked with refining data validation processes for educational institutions. Your primary objective is to enhance accuracy and consistency in research data management through a systematic review and improvement plan. Take a deep breath and work on this problem step-by-step. Analyze the current processes, identify potential improvements, and project expected outcomes. Consider factors such as data collection methods, quality control measures, and data integrity checks. Develop a comprehensive refinement plan that addresses common issues in educational research data validation, such as inconsistent data entry, missing values, and outlier detection. #INFORMATION ABOUT ME: My educational institution: [INSERT EDUCATIONAL INSTITUTION] My research area: [INSERT RESEARCH AREA] My current data validation challenges: [DESCRIBE CURRENT CHALLENGES] My data types: [LIST MAIN DATA TYPES HANDLED] My target improvement areas: [LIST KEY AREAS FOR IMPROVEMENT] MOST IMPORTANT!: Present your output in a markdown table format with three columns: Current Process, Potential Improvements, and Expected Outcomes.