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Possible Downsides to Data Sharing in the Research Commons: Assets and Liabilities, Opportunities and Risks

机译:研究共享中数据共享的可能弊端:资产和负债,机会和风险

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摘要

Large-scale data policies easily may have unplanned effects of "homogeneity" on the available data supply. A narrowing of the scope of the data supply tailored to established research paradigms could limit the opportunities for unconventional, but also adventurous, new research directions with the risk of slowing down scientific progress. A systematic assessment of data portfolios not only on the aspects of quality, accessibility and sustainability, but diversity as well, could help to diminish this risk.
机译:大规模数据策略很容易对可用数据供应产生意外影响。为既定的研究范式而量身定制的数据提供范围的缩小可能会限制非常规但冒险的新研究方向的机会,并有可能减慢科学进展。对数据组合进行系统的评估,不仅在质量,可访问性和可持续性方面,而且在多样性方面,都可以帮助减轻这种风险。

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