Table 2.

Database development process

DB lifecycle stageDescription of the lifecycle stageMethods followed during the development of toolkit
DB analysisThe information needed from the DB is definedIdentified the end-user’s requirement (user’s selection criteria, illustrations and level of details in the toolkit)
DB conceptual designEntities and their relationships are definedMain data entities were identified (causes of disputes, dispute avoidance steps, pre-contract stages, parties and themes of causes of disputes of disputes) The relationships and primary keys of each entities were identified Relationship logics among the variables were established using the data modelling options in Microsoft Power BI
DB logical designThe conceptual design advances to design a relational database model
DBMS selectionThe nature of the database (distributed / centralised), security was considered to select a databaseOpted for a simple Microsoft excel file as the database. The Microsoft Excel database was linked to the power BI report and that report was published to the Web However, the published report only allowed the end-user to retrieve the data; therefore, database security was not compromised
DB implementationData was entered and reports were generatedIn Microsoft Power BI, two tables for causes of disputes and avoidance steps and a “force-directed graph” that illustrates the relationship between causes and avoidance steps were created
DB managementDatabase maintenance options (backing up and restoring)In addition to the primary database, few backups were created and saved securely
Source(s): Table created by authors, partly based on information presented in Zygiaris (2018), combined with methods applicable to the current study

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