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Open data sharers are still in the minority in many fields. Although many re
Open data sharers are still in the minority in many fields. Although many re
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2024-03-12
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问题
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 telescope 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 agree 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 personal benefits, including more connections with colleagues, improved visibility and increased citations. The most successful sharers— those whose data are downloaded and cited the most often—get noticed, and their work gets used. For example, one of the most popular data sets on multidisciplinary repository Dryad is about wood density around the world; it has been downloaded 5,700 times. Co-author Amy Zanne thinks that users probably range from climate-change researchers wanting to estimate how much carbon is stored in biomass, to foresters looking for information on different grades of timber. "I’d much prefer to have my data used by the maximum number of people to ask their own questions," she says. "It’s important to allow readers and reviewers to see exactly how you arrive at your results. Publishing data and code allows your science to be reproducible. "
Even people whose data are less popular can benefit. By making the effort to organize and label files so others can understand them, scientists become more organized and better disciplined themselves, thus avoiding confusion later on. [br] According to the passage, what might hinder open data sharing?
选项
A、The fear of massive copying.
B、The lack of a research culture.
C、The belief that research data is private intellectual property.
D、The concern that certain agencies may make a profit out of it.
答案
C
解析
推理题。第三段第二句指出,去年,位于伦敦的英国皇家学会在其报告中称,科学家需要“从把数据看作私有财产的研究文化中抽离出来”。由此可知,阻碍开放数据共享的其中一个障碍是科学家们把数据看作自己私有的财产,故答案为C。A、D项原文均未提及,故排除。B项与原文不符,原文说的是要从把数据看作私有财产的研究文化中抽离出来,并不是说缺乏研究文化,故排除。
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