MIDA5-dataset
Description
MIDA5 Dataset is the complete research dataset supporting the development, formalization, and evaluation of MIDA5, an initial participative and user-centered methodology for Business Process Analytics (BPA). The dataset was generated throughout a multi-stage Design Science Research (DSR) process and contains all methodological materials required to understand, reproduce, and evaluate the proposed framework. The dataset includes the complete methodological specification of MIDA5, organized into five phases, fourteen stages, thirty-three activities, and sixty-one methodological artifacts, together with standardized implementation guides, collaborative forms, workflow diagrams, methodological templates, evaluation instruments, and supporting documentation. These materials describe the complete implementation process, from organizational contextualization and process characterization to analytical opportunity identification, data preparation, ETL design, analytical database construction, dashboard development, and iterative validation. Additionally, the dataset contains the empirical materials generated during the case study conducted in a public university, including anonymized organizational characterization documents, process models, analytical models, ETL specifications, database schemas, dashboard prototypes, implementation evidence, usability and satisfaction assessment instruments, and complementary documentation supporting the evaluation of the methodology. The dataset also incorporates complementary materials obtained from additional organizational applications used to assess the applicability of MIDA5 across different organizational contexts. MIDA5 integrates concepts from Business Process Analytics, Business Process Management, Data Analytics, User-Centered Design, and gamification into a structured implementation framework that emphasizes stakeholder participation, collaborative decision-making, methodological reproducibility, and organizational knowledge transformation. The methodological artifacts were designed to facilitate implementation by both technical and non-technical participants while reducing methodological and technological barriers commonly encountered in organizations with limited analytical maturity. This dataset supports the scientific contributions reported in the associated publications by providing the complete methodological resources required for transparency, reproducibility, comparative analysis, educational use, and future methodological extensions. It may be reused for academic research, teaching, methodological evaluation, and organizational implementations involving Business Process Analytics, Business Intelligence, Digital Transformation, Process Improvement, and Human-Centered Information Systems.
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Steps to reproduce
Steps to Reproduce Download the complete MIDA5 dataset, including the methodological guides, standardized forms, workflow diagrams, templates, evaluation instruments, and supporting documentation. Review the methodological documentation to understand the conceptual foundations of MIDA5, its five phases, fourteen stages, thirty-three activities, and sixty-one methodological artifacts. Select an organizational environment where Business Process Analytics is required. The methodology is particularly suitable for organizations with limited process documentation, heterogeneous data sources, or low analytical maturity. Identify organizational stakeholders and assign the roles required by MIDA5, including facilitators, organizational actors, technical specialists, and decision-makers according to the implementation guidelines. Execute the methodology sequentially, following the implementation guides provided in the dataset: Phase 0 – Contextualization Phase 1 – Characterization and Evaluation of Processes Phase 2 – Analytical Opportunities Phase 3 – Data Preparation and Treatment Phase 4 – Development of Data Analytics Tasks Use the standardized methodological artifacts supplied in the dataset to document organizational processes, identify analytical opportunities, model data, design ETL workflows, define analytical databases, and validate implementation results. Develop the analytical solution using the implementation outputs generated during the previous phases. The specific technological platform may vary according to organizational requirements; MIDA5 is independent of any particular software environment. Conduct iterative validation with organizational stakeholders throughout the implementation process, incorporating feedback to refine the process models, analytical models, prototypes, and computational solution. Evaluate the implementation using the usability and service-quality instruments included in the dataset (e.g., SUS and SERVQUAL) together with organizational validation activities. Compare the obtained implementation outputs with the examples and reference materials included in the dataset to verify methodological consistency and facilitate replication in similar organizational contexts. Reproducibility Statement The dataset provides all methodological artifacts, implementation guides, standardized forms, workflow diagrams, templates, and evaluation instruments required to reproduce the MIDA5 implementation process. Although implementation results will naturally vary according to the characteristics of each organization, following the documented procedures enables methodological reproducibility and facilitates consistent application across different Business Process Analytics projects.