Information and Data Sciences: A Pragmatic Perspective on Their Evolution

Abstract

The article explores the historical development, current state, and future directions of data science and information science. It traces the origins of data science in statistics and computer science, and information science in library science and interdisciplinary programs. The Emergence of iSchools is discussed as an important development bridging these fields. Currently, many institutions offer data science programs, with iSchools integrating data science into information science curricula. The article argues that information science brings unique strengths to data science education, including a transdisciplinary approach, human-centered focus, emphasis on context, and ethical considerations. Looking ahead, it recommends that data science education in information schools should teach fundamental skills while making the field more accessible, expose students to real-world applications, and leverage information science's established strengths. The integration of data science and information science presents opportunities to address complex challenges at the intersection of technology and society.