The Data Curation Maturity Model (DCMM) enhances the effectiveness of data curation activities with its innovative, mathematically quantifiable matrix approach, specifically tailored to meet the dynamic needs of data curation. By integrating focus area maturity models with specific curation requirements, the DCMM provides a structured progression framework that allows organizations to visualize and measure their advancements in data management. This model not only elevates data quality and reproducibility across various research domains but also establishes a new standard for strategic, targeted improvement in data curation practices.
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
