Browsing by Author "He, Daqing"

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    Confronting the Challenges of Computational and Social Perspectives of the Data Continuum
    (Sciendo, 2020-06) Murillo, Angela P.; Curty, Renata G.; Jeng, Wei; He, Daqing; Library and Information Science, School of Informatics and Computing
    As the availability of data is increasing everyday, the need to reflect on how to make these data meaningful and impactful becomes vital. Current data paradigms have provided data life cycles that often focus on data acumen and data stewardship approaches. In an effort to examine the convergence, tensions, and harmonies of these two approaches, a group of researchers participated in an interactive panel session at the Association of Information Science and Technology Annual meeting in 2019. The panel presenters described their various research activities in which they confront the challenges of the computational and social perspectives of the data continuum. This paper provides a summary of this interactive panel.
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    The Convergence of Computational and Social Approaches for Unveiling Meaningful and Valuable Data
    (Wiley, 2019) Murillo, Angela P.; Curty, Renata G.; Jeng, Wei; He, Daqing; Library and Information Science, School of Informatics and Computing
    The current data paradigm is seeking a more integrated and comprehensive framework to make sense of data and its derived issues. From the perspective of the data life cycle, we argue that computational and social approaches complement each other to confront data challenges. Computational approaches consist of ETL (extract, transform, and load), modeling, and machine learning techniques; social approaches include policy and regulations, data sharing and reuse behavior, reproducibility, ethical and privacy issues. In this panel, we frame these two approaches as data acumen and data stewardship. The merging of these two perspectives allows data not only to become discoverable, accessible, and interoperable, but also to further the value of revealing meaningful patterns and become supportive evidence for important decision making. In this panel, the opening facilitator and three panelists will report on their recent studies in terms of this convergence of both data acumen and stewardship while sharing their recent research insights on case studies in three disciplines: agriculture, biomedicine, and archeology.