The development of the data science capability maturity model: a survey-based research

Abstract

PurposeThe purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.Design/methodology/approachThis paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.FindingsIt was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.Originality/valueThis paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.

Safety Assessment and Application Model in College Chemical Laboratory

“…The specific elements are illustrated in Figure 1. Among the safety elements of CCL, the capability of safety regulation cannot be ignored, which is the basic standard and important guarantee [12] . Improving the capability of safety regulation can be enhanced from the three aspects of operating regulation, facilities standard, and file record, which can strengthen the comprehensive safety of CCL.…”

A reference model for software product line capability assessment

“…[19][20][21] CMMI and SPICE are used as evaluative and comparative basis for process assessment and improvement. The observed benefits of these models and standards, such as cost savings, more involved employees, improved and predictable quality, and increased productivity, generating a consistency of process capture and use, 22 lead to the adaptation of the same approach to domains other than software development such as Medical, 23 Automotive, 24 Government, 25 Open data, 26,27 Data Science, [28][29][30] Big Data, 31 Digital Transformation, 32,33 and Industry 4.0. 34 Although researchers are attempting to develop a prescribed and systematic way of improving SPL processes, 35 there are a limited number of studies related to measuring SPL process capability maturity in the literature, [36][37][38][39][40] and none of the existing studies is developed based on a well-known process capability maturity model or standard.…”

An empirical study of the impact of biological information dissemination in social media on public science literacy

“…At present, social and economic development, scientific and technological innovation, and technological innovation workers with good scientific literacy, is to enhance the ability of independent innovation, promote economic and social development, an inexhaustible source of intelligence, and also an important foundation for a steady road to scientific and technological power [1][2][3]. Scientific literacy can effectively cultivate and establish a scientific worldview and way of thinking methods and thus promote economic development [4].…”