Browsing by Author "Yoon, Ayoung"

Now showing 1 - 10 of 31
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    A balancing act: The ideal and the realistic in developing Dryad's preservation policy
    (2014-08-05) Mannheimer, Sara; Yoon, Ayoung; Greenberg, Jane; Feinstein, Elena; Scherle, Ryan
    Data preservation has gained momentum and visibility in connection with the growth in digital data and data sharing policies. The Dryad Repository, a curated general–purpose repository for preserving and sharing the data underlying scientific publications, has taken steps to develop a preservation policy to ensure the long–term persistence of this archived data. In 2013, a Preservation Working Group, consisting of Dryad staff and national and international experts in data management and preservation, was convened to guide the development of a preservation policy. This paper describes the policy development process, outcomes, and lessons learned in the process. To meet Dryad’s specific needs, Dryad’s preservation policy negotiates between the ideal and the realistic, including complying with broader governing policies, matching current practices, and working within system constraints.
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    Big Data Curation Framework: Curation Actions and Challenges
    (Sage, 2022) Yoon, Ayoung; Kim, Jihyun; Donaldson, Devan Ray; Library and Information Science, School of Computing and Informatics
    Big data curation represents an emerging topic of inquiry but still in an early phase along its adoption curve. The term big data itself is a nebulous concept, and the differences between small data curation and big data curation are nuanced. The goal of this research is to provide a theoretical framework that identifies big data curation actions and associated curation challenges. This study is based on the practices of big data research and data curation by systematically examining literature. The outcome of the study includes the big data curation framework that provides overview of curation activities and concerns that are essential to perform such activities. The study also provides practical implications for libraries, archives, data repositories and other information organisations that concerns the issue of big data curation as big data presents a multidimensional array of exigencies in relation to the mission of those organisations.
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    Big data researchers’ perceived value of big data curation
    (2023) Yoon, Ayoung
    This study aims to understand the value of big data curation in a professional context. Researchers' understanding of big data curation is critical to promptly preparing data for future use and curating professionals preparing. The literature analysis suggests that big data researchers acknowledge the value of curation in staying abreast of technology and data quality, but social aspects (e.g., legal and ethical issues) are less recognized.
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    Community Data Curation Competencies Framework
    (iSchools, 2023-03) Murillo, Angela P.; Yoon, Ayoung; Library and Information Science, Luddy School of Informatics, Computing, and Engineering
    Library and information science (LIS) professionals and educators have spearheaded data curation, providing services in research data management and scientific data curation, and delivering data curation education for the academic workforce. While public and private sector community organiza-tions, such as local government, non-profit organizations, and community-based organizations have become more data-driven, the specific data cura-tion needs of these organizations are not fully addressed in current data cura-tion research or education. This research aims to bridge this gap in existing data curation education by creating a community data curation competencies framework, developing a pilot curriculum based on this framework, and evaluating and disseminating the developed curriculum. This poster presents the preliminary results of the first phase of this project, where we developed a protocol to review existing data curation competencies to create the initial framework.
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    Community Data Curation Curriculum Development
    (2023-09) Murillo, Angela P.; Yoon, Ayoung; Library and Information Science, Luddy School of Informatics, Computing, and Engineering
    This poster presents the preliminary findings of the two-year project, Community Data Curation Competency, which aims to extend the current understanding of data curation competencies in the context of community data, engage with strategic stakeholders (educators, practitioners, community organizations) in the process of curriculum design, and design a data curation pilot curriculum to fulfill the current gaps in data curation education to include community data curation competencies.
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    Data curation as collective action during COVID-19
    (Wiley, 2021-03) Shankar, Kalpana; Jeng, Wei; Thomer, Andrea; Weber, Nicholas; Yoon, Ayoung; Library and Information Science, School of Informatics and Computing
    In this commentary, the authors, an international group data curation researchers and educators, reflect on some of the challenges and opportunities for data curation in the wake of the COVID-19 pandemic. We focus on some topics of particular interest to the information science community: data infrastructures for scholarly communication and research, the politicization of data curation and visualization for public-facing “dashboards,” and human subjects research and policies. We conclude with some areas of opportunity and need, including broader and richer data curation education in the information schools, the establishment of better data management policy implementations by research funders, the award of formal academic credit for data curation activities and data sharing, and engagement in cooperative action around data ethics and security.
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    Data Curation Education: Cross-Disciplinary Analysis of Master’s Programs
    (University of Toronto Press, 2023) Yoon, Ayoung; Murillo, Angela P.; Jettpace, Thomas
    With growing emphasis on data curation practice in both science and industry, there has been a call for information professionals to take on a substantial role in data curation. Library and information science (LIS) education has been responding to this call by offering various training opportunities from Master’s education to professional development. The most recent effort to systematically review a data curation curriculum offered by ALA-accredited LIS schools was in 2012, so it is time to revisit the progress and evolution of data curation education. The main goal of this study is to analyze the course content from the syllabi of various programs to understand what is being taught in LIS schools throughout graduate-level education. Further, because the need for data curation is apparent across different disciplines, and thus not only LIS but also other disciplines have been offering data curation courses, this study also analyzed syllabi from other disciplines. A total of 80 syllabi were analyzed in this study: 15 syllabi from 9 ALA-accredited institutions and 65 syllabi from 53 institutions of Carnegie Classification (CC). Our findings suggest a notable growth in LIS education in data curation since 2012, but LIS education still provides less training in technical skills. There was also a distinctive difference in educational approach to teach data curation between LIS (user- and service-oriented) and other disciplines (technical skills−focused), which brought different strengths and weaknesses in curriculum.
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    Data Curation for Community Science Project: CHIME Pilot Study
    (Digital Curation Centre, 2018-04-25) Yoon, Ayoung; Spotts, Lydia; Copeland, Andrea; Library and Information Science, School of Informatics
    This paper introduces a community science project, Citizen Data Harvest in Motion Everywhere (CHIME), and the findings from our pilot study, which investigated potential concerns regarding data curation. The CHIME project aims to build a cyclist community–driven data archive that citizens, community scientists, and governments can use and reuse. While citizens’ involvement in the project enables data collection on a massive, unprecedented scale, the citizen-generated data (cyclists’ video data recorded with wearable cameras in the CHIME context) also presents several concerns regarding curation due to the grassroots nature of the data. Learning from our examination of cyclists’ video data and interviews with them, we will discuss the curation concerns and challenges we identified in our pilot study and introduce our approach to addressing these issues. Our study will provide insights into data curation concerns, to which other citizen science projects can refer. As a next step, we are in the process of developing a data curation model that will consider other factors related to this community science project and can be implemented in future community science projects.
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    Data reusers’ trust development.
    (2017) Yoon, Ayoung
    Data reuse refers to the secondary use of data—not for its original purpose but for studying new problems. Although reusing data might not yet be the norm in every discipline, the benefits of reusing shared data have been asserted by a number of researchers, and data reuse has been a major concern in many disciplines. Assessing data for trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data. This research explores many facets of data reusers’ trust in data generated by other researchers focusing on the trust judgment process with influential factors that determine reusers’ trust. The author took an interpretive qualitative approach by using in-depth semistructured interviews as the primary research method. The study results suggest different stages of trust development associated with the process of data reuse. Data reusers’ trust may remain the same throughout their experiences, but it can also be formed, lost, declined, and recovered during their data reuse experiences. These various stages reflect the dynamic nature of trust.
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    The Data Sharing Practices and Challenges in Uganda
    (2017-11) Tomusange, Issac; Yoon, Ayoung; Mukasa, Norman
    With the rapid development and increased use of information and communication technology (ICT), the demand for data sharing and reuse is growing even in developing countries. This study aims to contribute to the recently emerging discussions on data sharing in developing countries with a focus on the case of Uganda. The goal of this study is to uncover the current practices of and efforts for data sharing in the public sector in Uganda and to understand the relevant stakeholders’ perceptions of data sharing and reuse practices/services.