Development of a Database Quality Assurance Score (dQAS) to Validate the Nigeria AIDS Indicator and Impact Survey (NAIIS) Database (Preprint)

BACKGROUND In 2018, Nigeria implemented the world’s largest HIV survey “The Nigeria AIDS Indicator and Impact survey (NAIIS)”, with the overarching goal of obtaining more reliable metrics regarding the national scope of HIV epidemic control in Nigeria. OBJECTIVE To (1) describe the processes involved in the development of a new database evaluation tool (“Database Quality Assurance Score [dQAS]) (2) Assess the application of the dQAS in the evaluation and validation of the NAIIS database. METHODS With the assistance of expert review panelists, the dQAS tool was created using an online Delphi (e-Delphi) methodology. Thematic categories were developed to form superordinate categories that grouped themes together. Subordinate categories were then created that decomposed themes down for more specificity. A validation score was employed to assess the technical performance of the NAIIS database. This culminated in the development of the dQAS. RESULTS The finalized dQAS tool was composed of 34 items with a total score of 81.The tool has two sections; a validation item section - which contains 5 sub-sections; and a quality assessment score section, which assigns a score of “1” for “Yes” to indicate that the performance measure item was present and “0” for “No” to indicate that the measure was absent. There were also additional scaling scores ranging from “0” to a maximum of “4” depending on the measure. The NAIIS database achieved 78 out of the maximum total score of 81, yielding an overall technical performance score of 96.3%, which placed it in the highest category denoted as “Exceptional”. CONCLUSIONS This study showed the feasibility of remote internet-based collaboration for the development of dQAS - a tool to assess the validity of a locally-created database infrastructure for a developing setting. Using dQAS, the NAIIS database was found to be valid, reliable and a valuable source of data for future population-based HIV-related studies.

Shipowner’s Impact on Planned Maintenance System Database Quality Grades Resemblance Equalization

This paper analyzes the shipowner’s role in the development process of ship’s computerized planned maintenance system database, paying specific attention to his/her impact on database quality grades resemblance equalization. The paper describes the database development process from the realization that the database is needed to the installation on board vessel, and all shipowner’s and developer’s actions in the process. The computerized databases of five shipping companies were tested using questionnaire developed for this purpose. The evaluation results are shown in several tables to facilitate overview and comparison of data. The paper provides the data of office user’s workload with regard to the administration and correction of data besides database quality grades: that data serves to portrait the relation between data quality in the databases and importance given to the process of development and maintenance of the databases. The analysis of the results yields numerical values as indicators of shipowner's input on the resemblance of grades of both scenarios and on the database quality grades resemblance equalization. The conclusion shows how the shipowner affects the ship's computerized planned maintenance system database and what actions should be performed to obtain the final product (database, i.e. data in the database) as good as possible and, thus, maintenance of the ship and the whole system. The expected results of the paper are:- To analyze in detail the database ordering and development process,- To pinpoint controlling areas for the database quality,- To analyze the shipowner’s impact on the database quality grades resemblance equalization.