| 書(shū)目名稱 | Quantifying Research Integrity | | 編輯 | Michael Seadle | | 視頻video | http://file.papertrans.cn/781/780766/780766.mp4 | | 叢書(shū)名稱 | Synthesis Lectures on Information Concepts, Retrieval, and Services | | 圖書(shū)封面 |  | | 描述 | .Institutions typically treat research integrity violations as black and white, right or wrong. The result is that the wide range of grayscale nuances that separate accident, carelessness, and bad practice from deliberate fraud and malpractice often get lost. This lecture looks at how to quantify the grayscale range in three kinds of research integrity violations: plagiarism, data falsification, and image manipulation..Quantification works best with plagiarism, because the essential one-to-one matching algorithms are well known and established tools for detecting when matches exist. Questions remain, however, of how many matching words of what kind in what location in which discipline constitute reasonable suspicion of fraudulent intent. Different disciplines take different perspectives on quantity and location. Quantification is harder with data falsification, because the original data are often not available, and because experimental replication remains surprisingly difficult. The same is true with image manipulation, where tools exist for detecting certain kinds of manipulations, but where the tools are also easily defeated..This lecture looks at how to prevent violations of res | | 出版日期 | Book 2017 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02306-4 | | isbn_softcover | 978-3-031-01178-8 | | isbn_ebook | 978-3-031-02306-4Series ISSN 1947-945X Series E-ISSN 1947-9468 | | issn_series | 1947-945X | | copyright | Springer Nature Switzerland AG 2017 |
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