Browsing by Author "Yoon, Ayoung"

Now showing 1 - 10 of 28
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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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    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 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.
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    Empowering communities with data: Role of data intermediaries for communities' data utilization
    (2018) Yoon, Ayoung; Copleand, Andrea; McNally, Paula
    Data have significant potential to address current societal problems not only at the federal and state levels, but also in smaller communities, in neighborhoods, and in the lives of individuals. While the proposition for this potential is that data are and will be shared with and reused by and for communities at different levels, not all data are not systematically or routinely shared for reuse with communities due to social, structural and technical infrastructure barriers. Data intermediary organizations can play a significant role in removing existing barriers while unlocking the potential of data for all, particularly for communities with limited human or financial resources, limited access to existing data infrastructures, and underserved populations. Considering the significance of the data intermediary organizations on local communities, this study aims to explore the role of intermediaries that usually facilitate community members/organizations’ data utilization. The findings of this study reveal that data intermediary organizations play four major roles that are crucial in communities’ data utilization: (1) democratizing data, (2) adding value to existing data, (3) enhancing communities’ data literacy, and (4) building communities’ data capacity. This study has several important implications to offer a solution to overcome the challenges of data reuse at the local level.
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    End-users’ trust in data repositories: Definition and influences on trust development
    (2014) Yoon, Ayoung
    While repositories’ efforts to build trustworthy digital repositories (TDRs) led to the establishment of ISO standards, much less research has been done regarding the user’s side, despite calls for an understanding of users’ trust of TDRs. In order to learn about users’ perspectives on trust in digital repositories, the present study investigated users’ definitions of trust and factors that influence users’ trust development, particularly addressing the users of three data repositories in the United States. A total of 19 participants were interviewed in this study. The results of this study indicate that users’ definition of trust is largely based on a lack of deception, when it comes down to the specific context of data repositories. Regarding factors influencing the development of users’ trust in repositories, organizational attributes, user communities (recommendations and frequent use), past experiences, repository processes (documentation, data cleaning, and quality checking), and users’ perception of the repository roles were identified. End users' trust in data repositories: Definition and influences on trust development (PDF Download Available). Available from: https://www.researchgate.net/publication/257519904_End_users%27_trust_in_data_repositories_Definition_and_influences_on_trust_development [accessed Jul 26, 2017].
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    Factors of trust in data reuse
    (Emerald, 2019) Yoon, Ayoung; Lee, Yoo Young; Library and Information Science, School of Informatics and Computing
    Purpose The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives. Design/methodology/approach This study utilized a survey method to test the proposed hypotheses and to empirically evaluate the research model, which was developed to examine the relationship each factor of trust has with reusers’ actual trust during data reuse. Findings This study found that the data producer (H1) and data quality (H3) were significant, as predicted, while scholarly community (H3) and data intermediary (H4) were not significantly related to reusers’ trust in data. Research limitations/implications Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings. Practical implications The study finding presents the need for engaging data producers in the process of data curation, preferably beginning in the early stages and encouraging them to work with curation professionals to ensure data management quality. The study finding also suggests the need for re-defining the boundaries of current curation work or collaborating with other professionals who can perform data quality assessment that is related to scientific and methodological rigor. Originality/value By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.