Browsing by Author "Curty, Renata"

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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 P.
    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; Murillo, Angela P.
    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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    Untangling data sharing and reuse in social sciences
    (2016) Yoon, Ayoung; Curty, Renata; Jeng, Wei; Qin, Jian
    The discipline of social science has unique research norms and cultures regarding data sharing and reuse that can be affected by complex factors related to context, time and dependence on human subjects. Compared with STEM disciplines, social sciences emphasize the protection of study participants and observees. Extra effort is required from reusers to preserve data interconnectedness in order to guarantee the data's understandability and informative value. In this panel, the panelists will present their research findings and provide perspective on social science data sharing and reuse, including factors that may influence data reuse behavior, researchers' trust judgment in data for data reuse, and infrastructural barriers and incentives for data sharing among social scientists. This panel aims to provide an overview of the current state of social science data reuse and sharing, and, in collaboration with panel participants, elicit topics for future research. It also proposes a practical agenda to develop alternative incentives for individual researchers, and potential ways in which data sharing and reuse can be improved, coordinated, and encouraged among social scientists.