A concept for data quality assurance in materials science

Key Points

• The aim is to propose a framework for ensuring data quality in the field of materials science.
• Develop a comprehensive set of guidelines for data quality assurance.
• Identify key indicators of data quality relevant to materials science.
• Evaluate existing data management practices in the field.
• Increased reliability of materials science research findings.
• Improved adherence to data quality standards.
• Recommendations for policy implementation in data management.