1. Introduction

2. Data description
2.1. General properties
2.2. OmegaCAM and VST
2.3. Sky distribution
2.4. Data products
2.5. Color terms
2.6. Data access

3. Observational set-up

4. Data processing
4.1. Image detrending
4.2. Photometric calibration
4.3. Astrometric calibration
4.4. Masking of bright stars and defects
4.5. Source extraction and star/galaxy separation

5. Data quality
5.1. Intrinsic data quality
5.2. Photometric quality
5.3. Astrometric quality
5.4. Completeness and contamination
5.5. Data foibles

6. First scientific applications
6.1. Photometric redshifts and weak gravitational lensing
6.2. Photometric redshifts from machine learning
6.4. Galaxy cluster detection
6.5. High-redshift Quasar searches
6.6. Strong gravitational lens searches

7. Summary and outlook