The OREDA database has been widely used to support the data-driven decision-making in the reliability analysis. Providing a good quality of database with the agility to supply recent data is crucial. To achieve such condition, there is a need for continuous improvement in the database quality and more automated process on the entire data process. Data quality analysis was performed by investigation on the timeliness and the value-added attributes of the reliability data quality framework and modification on the current quality assurance protocol. The attributes analysis gave the insight to determine the vital and the non-vital reliability data. Besides, unequal data quality from the data collectors of the company members has been indicated. Therefore, extra attention on the data collectors motivation is necessary. The automation process analysis was performed by investigation on the current quality assurance checklists and experience gained during the involvement with the phase 12 database. The quality assurance checklists analysis was comprised of the checklists instructions clarity, the timing to execute the checklists items, and the existence of the non-informative and the blank fields. The experience gained brought an understanding of the potential fields and checklists items to be automated with a calculation or further interpretation. List of potential fields and checklists to be automated along with their automation process description have been developed.