Industry 4.0 is based on the digitization of manufacturing industries and has raised the
prospect for substantial improvements in productivity, quality, and customer satisfaction. This …

Although widely used, the qualitative case study method is not well understood. Due to
conflicting epistemological presuppositions and the complexity inherent in qualitative case …

Digital twin (DT) has been moving progressively from concept to practice for bridge
operation and maintenance (O&M), but its issues of data synchronization and fault tolerance …

The knowledge gained from data mining is highly dependent on the experience of an expert
for further analysis to increase effectiveness and wise decision-making. This mined …

Web services are middleware designed to support the interoperation between different
software systems and devices over the Web. Today, we encounter a variety of situations in …

While governing data as an organizational asset has clear benefits, mobilizing an
organization to implement data governance remains elusive for practitioners. On that …

Purpose While advances in big data analytics (BDA) provide valuable business insights and
immense business value, many firms find it difficult to gain advantage from their BDA …

The data-information-knowledge-wisdom (DIKW) hierarchy or pyramid is a model or
construct that has been used widely within information science and knowledge …

Privacy protection has recently been in the spotlight of attention to both academia and
industry. Society protects individual data privacy through complex legal frameworks. The …

Characterizing cellular diversity at different levels of biological organization and across data
modalities is a prerequisite to understanding the function of cell types in the brain …