Dharmender Salian

By Dharmender Salian

Open data (OD) is the term used to describe the concept that data is available freely for people, entrepreneurs, and researchers for analysis and research. Globally, Governments have taken initiatives to publish public data. Researchers and entrepreneurs wanting to do data analysis need to be trained in data management as the quality and accessibility of open data datasets make the activity a bit challenging. OD initiatives require considerable resources that include financial, technical, and human resources. Using concepts of structuredness of data, a dataset usability measurement is created. Utilizing a randomly chosen set of datasets from a well-known open data portal, an instrument is developed, validated, and applied. The chapter ends with explaining future research directions and giving recommendations for distributors of open data datasets.

Part of the book: Open-Source Horizons - Challenges and Opportunities for Collaboration and Innovation [Working title]

By Dharmender Salian

This chapter plans to review studies related to IoT maturity models in manufacturing systematically. Digitalization is critical for small and medium enterprises (SMEs) to have a competitive edge in the highly competitive market. Digitalization provides value-producing opportunities and new revenues for the organization. SMEs are better able to compete with larger firms and have improved customer experiences to meet market demands. American SMEs need to have a far-sighted vision and invest in digitalization efforts as benefits like reduced operational expenses and data-based insights are beneficial and invaluable to customers. This chapter evaluates the state of IoT applications in American SMEs using the assessment provided by the IoT maturity model.

Part of the book: Advances in Digital Transformation [Working title]