Entwicklung eines Bewertungsmodells sowie eines Leitfadens zur Sicherung der Datenqualität im Kontext Forschungsdatenmanagement im Bereich Maschinenbau

1. Introduction 1.1 Background of Research Data Management 1.2 Importance of Data Quality in Engineering 1.3 Objectives of the Study 1.4 Structure of the Paper 2. Literature Review 2.1 Overview of Data Quality Models 2.2 Assessment Methods in Engineering 2.3 Existing Guidelines for Data Management 3. Research Methodology 3.1 Research Design and Approach 3.2 Data Collection Techniques 3.3 Data Analysis Procedures 4. Development of the Evaluation Model 4.1 Identification of Key Quality Metrics 4.2 Framework Design and Construction 4.3 Model Testing and Validation 5. Guide for Ensuring Data Quality 5.1 Step-by-Step Implementation Guide 5.2 Tools and Techniques for Quality Assurance 5.3 Best Practices in Engineering Data Management 6. Case Study Analysis 6.1 Background of the Selected Case Study 6.2 Application of the Evaluation Model 6.3 Results and Findings 7. Discussion 7.1 Interpretation of Case Study Results 7.2 Comparison with Existing Models 7.3 Implications for Engineering Research 8. Conclusion and Future Work 8.1 Summary of Key Findings 8.2 Limitations of the Study 8.3 Directions for Future Research