流利说六级训练营每日作业day11翻译.pdfVIP

流利说六级训练营每日作业day11翻译.pdf

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「翻译一」作业 作业要求: 1. 精读2017 年6 月六级 ,用词典查出所有不认识的词,并记在生词本上。 2. 完成长难句分析 3. 选背【六级翻译高端词汇库】(词库文档已上传网盘) 今日文章精读 Open data sharers are still in the minority in many fields. Although many researchers broadly agree that public access to raw data would accelerate science, most are reluctant to post the results of their own labors online. Some communities have agreed to share online—geneticists, for example, post DNA sequences at the GenBank repository (库) , and astronomers are accustomed to accessing images of galaxies and stars from, say, the Sloan Digital Sky Survey, a escope that has observed some 500 million objects—but these remain the exception, not the rule. Historically, scientists have objected to sharing for many reasons: it is a lot of work; until recently, good databases did not exist; grant funders were not pushing for sharing; it has been difficult to ag ree on standards for formatting data; and there is no agreed way to assign credit for data. But the barriers are disappearing, in part because journals and funding agencies worldwide are encouraging scientists to make their data public. Last year, the Royal Society in London said in its report that scientists need to "shift away from a research culture where data is viewed as a private preserve". Funding agencies note that data paid for with public money should be public information, and the scientific community is recognizing that data can now be shared digitally in ways that were not possible before. To match the growing demand, services are springing up to make it easier to publish research products online and enable other researchers to discover and cite them. Although calls to share data often concentrate on the moral advantages of sharing, the practice is not purely altruistic (利他的). Researchers who share get plenty of al benefits, including more connections with colleagues, improved visibility and increased citations

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