Browsing by Subject "data reuse"

Now showing 1 - 10 of 13
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    Data information literacy instruction in Business and Public Health: Comparative case studies
    (Sage Journals, 2016-10-27) Macy, Katharine V.; Coates, Heather L.
    Employers need a workforce capable of using data to create actionable information. This requires students to develop data information literacy competencies that enable them to navigate and create meaning in an increasingly complex information world. This article examines why data information literacy should be integrated into program curricula, specifically in the instances of business and public health, and offers strategies for how it can be accomplished. We approach this as a comparative case study within undergraduate business and master of public health programs at Indiana University-Purdue University Indianapolis. These case studies reveal several implications for practice that apply across social and health sciences programs.
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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.
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    In between data sharing and reuse: Shareability, availability and reusability in diverse contexts
    (2017-11) Yoon, Ayoung; Jeng, Wei; Curty, Renata; Murillo, Angela
    Although data availability cannot be considered the sole predictor of effective reuse, because only accessible and well-managed data can make reuse possible, data reuse is contingent on the availability of data. It is critical to understand the nature of shareability, availability, and reusability, and their synergy and relationships, to further understand the dynamics of data reuse practices in multiple environments and contexts. This panel aims to closely examine aspects related to data shareability, availability and reusability, based on the assumption that each condition poses a cumulative effect on each other and impacts the efficiency and efficacy of the data reuse process. The panelists will present their findings and perspectives in a diverse context regarding data availability, between academic and non-academic; data shareability and data reusability, social sciences and earth science, researchers’ and journal publishers’ perspectives. Presentations will be followed by an interactive session taking the team-based approach, with the expectation to engage participants in discussion and experience-sharing, and to contribute in terms of practice and research with the current knowledge and applications.
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    In between data sharing and reuse: Shareability, availability and reusability in diverse contexts
    (2017-11) Yoon, Ayoung; Jeng, Wei; Curty, Renata; Murrilo, Angela
    Although data availability cannot be considered the sole predictor of effective reuse, because only accessible and well-managed data can make reuse possible, data reuse is contingent on the availability of data. It is critical to understand the nature of shareability, availability, and reusability, and their synergy and relationships, to further understand the dynamics of data reuse practices in multiple environments and contexts. This panel aims to closely examine aspects related to data shareability, availability and reusability, based on the assumption that each condition poses a cumulative effect on each other and impacts the efficiency and efficacy of the data reuse process. The panelists will present their findings and perspectives in a diverse context regarding data availability, between academic and non-academic; data shareability and data reusability, social sciences and earth science, researchers’ and journal publishers’ perspectives. Presentations will be followed by an interactive session taking the team-based approach, with the expectation to engage participants in discussion and experience-sharing, and to contribute in terms of practice and research with the current knowledge and applications.
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    Making square fit into a circle: Reusing qualitative data
    (2014) Yoon, Ayoung
    Although researchers have shown their skepticism of qualitative data reuse due to the epistemological issues, interest in qualitative data reuse has continuously grown. Discussions regarding qualitative data sharing and reuse have also been very active, especially in Europe and Australia. Compared with efforts in other countries, the discussions do not seem to be as prominent in the United States, in spite of a long history of data-depositing and -curating practices and researchers’ reusing qualitative data in some disciplines. This research aims to explore qualitative researchers’ experiences reusing data in the field of social science in US, which have not been empirically addressed yet. The preliminary results from the in-depth interviews with qualitative researchers who have used secondary data are presented, along with the barriers or hindrances to reusing qualitative data and the keys to successful data reuse.
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    Red flags in data: Learning from failed data reuse experiences
    (2016) Yoon, Ayoung
    This study examined the data reusers' failed or unsuccessful experience to understand what constituted reusers' failure. Learning from failed experiences is necessary to understand why the failure occurred and to prevent the failure or convert the failure to success. This study offers an alternative view on data reuse practices and provides insights for facilitating data reuse processes by eliminating core components of failure. From the interviews with 23 quantitative social science data reusers who had failed data reuse experiences, the study findings suggest: (a) ease of reuse, particularly the issue of access and interoperability, is the important initial condition for a successful data reuse experience; (b) understanding data through documentation may be less of an issue, at least for experienced researchers to make their data reuse unsuccessful, although the process can still be challenging; and (c) the major component of failed experience is the lack of support in reusing data, which emphasizes the need to develop a support system for data reusers.
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    Red flags in data: Learning from failed data reuse experiences
    (Wiley, 2016) Yoon, Ayoung; Library and Information Science, School of Informatics and Computing
    This study examined the data reusers' failed or unsuccessful experience to understand what constituted reusers' failure. Learning from failed experiences is necessary to understand why the failure occurred and to prevent the failure or convert the failure to success. This study offers an alternative view on data reuse practices and provides insights for facilitating data reuse processes by eliminating core components of failure. From the interviews with 23 quantitative social science data reusers who had failed data reuse experiences, the study findings suggest: (a) ease of reuse, particularly the issue of access and interoperability, is the important initial condition for a successful data reuse experience; (b) understanding data through documentation may be less of an issue, at least for experienced researchers to make their data reuse unsuccessful, although the process can still be challenging; and (c) the major component of failed experience is the lack of support in reusing data, which emphasizes the need to develop a support system for data reusers.
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    Role of Communication in Data Reuse
    (2017-11) Yoon, Ayoung
    In acknowledging the potentials of existing data, researchers’ interests in sharing and reusing data have recently emerged. However, sharing and reusing data is not a simple one-step process for researchers. Because data reusers build their work on other researchers’ findings, the process of data reuse involves various interactions and communications with other relevant parties. Exploring the nature of communications around data is thus important to fully understand data reuse practices and to support smoother processes of data reuse. This study investigates communications occurring around data during data reusers’ experiences through qualitative interview studies involving this group. This study’s results show that the communications with different stakeholders mainly support data reuse in three areas: searching, learning, and problem solving. The findings provide valuable insights into the domain of scholarly communication, data reuse, and data services.
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    Scientists’ Data Reuse Behaviors: A Multilevel Analysis
    (2017-12) Kim, Youngseek; Yoon, Ayoung
    This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. This research employed an integrated theoretical framework combining institutional theory and the theory of planned behavior. The combined theoretical framework can apply the institutional theory at the individual level and extend the theory of planned behavior by including relevant contexts. This study utilized a survey method to test the proposed research model and hypotheses. Study participants were recruited from the Community of Science’s (CoS) Scholar Database, and a total of 1,528 scientists responded to the survey. A multilevel analysis method was used to analyze the 1,237 qualified responses. This research showed that scientists’ data reuse intentions are influenced by both disciplinary level factors (availability of data repositories) and individual level factors (perceived usefulness, perceived concern, and the availability of internal resources). This study has practical implications for promoting data reuse practices. Three main areas that need to be improved are identified: Educating scientists, providing internal supports, and providing external resources and supports such as data repositories.