Bridging the Gap: Participatory Modeling for Stakeholder-Driven NoSQL Database Design

Collaborative development is becoming crucial and widespread across various sectors. When teams of experts come together to develop ideas, designs, models, implementations, projects, and systems, the collaborative process significantly boosts performance and ensures superior results. Participatory modeling (PM) is a methodology that promotes stakeholder involvement, combines research and knowledge, fosters trust and consensus, and enhances cross-disciplinary collaboration to tackle complex problems. Applying participatory modeling to NoSQL database design meets a critical need for addressing both organizational and human aspects, as well as their practical implementations in database design. In this paper, we introduce the ongoing development of the BRIDGE framework (Bi-directional Real-time Interactive Design Gateway for Engagement), a participatory approach for NoSQL database design. BRIDGE incorporates dynamic, two-way feedback loops within an interactive, real-time platform, making the design process more fluid and responsive. This framework not only deepens stakeholder engagement, but also improves the flexibility and clarity of database models, ensuring they cater to the varied and changing needs of businesses. With BRIDGE, stakeholders are actively involved as co-designers, directly shaping the development path to enhance both functionality and performance. Given that the NoSQL ecosystem requires varied layers of expertise, and is driven by industry guidelines and best practices, a stakeholder-driven approach encompassing all perspectives, requirements, and needs, could potentially offer a novel method to approach NoSQL database design.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688564
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging the Gap: Participatory Modeling for Stakeholder-Driven NoSQL Database Design

Karim Bäına, Mounir Ghogho, Chaimae Asaad
Data Quality and Management
article

Bridging the Gap: Participatory Modeling for Stakeholder-Driven NoSQL Database Design

Karim Bäına, Mounir Ghogho, Chaimae Asaad
article en

Abstract

Collaborative development is becoming crucial and widespread across various sectors. When teams of experts come together to develop ideas, designs, models, implementations, projects, and systems, the collaborative process significantly boosts performance and ensures superior results. Participatory modeling (PM) is a methodology that promotes stakeholder involvement, combines research and knowledge, fosters trust and consensus, and enhances cross-disciplinary collaboration to tackle complex problems. Applying participatory modeling to NoSQL database design meets a critical need for addressing both organizational and human aspects, as well as their practical implementations in database design. In this paper, we introduce the ongoing development of the BRIDGE framework (Bi-directional Real-time Interactive Design Gateway for Engagement), a participatory approach for NoSQL database design. BRIDGE incorporates dynamic, two-way feedback loops within an interactive, real-time platform, making the design process more fluid and responsive. This framework not only deepens stakeholder engagement, but also improves the flexibility and clarity of database models, ensuring they cater to the varied and changing needs of businesses. With BRIDGE, stakeholders are actively involved as co-designers, directly shaping the development path to enhance both functionality and performance. Given that the NoSQL ecosystem requires varied layers of expertise, and is driven by industry guidelines and best practices, a stakeholder-driven approach encompassing all perspectives, requirements, and needs, could potentially offer a novel method to approach NoSQL database design.

Mohammed V University (MA), International University of Rabat (MA)
Openalex Percentile: Top 76%
Data Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bridging the Gap: Participatory Modeling for Stakeholder-Driven NoSQL Database Design — Karim Bäına, Mounir Ghogho, et al. · (2024) | TGRS Research Map | TGRS