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    Open data shares 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 result of their own labors online.       Some communities have agreed to share online—geneticists, for example, post DNA sequences at the GenBnak 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 standard 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 scientist need to “shift away from a research culture where data is views 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 product online and enable other researchers to discover and cite them.

    Although calls to share data often concentrate on the moral advantage of sharing, the practice is not purely altruistic(利他的). Researchers who share plenty of personal benefit, 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.”

According to the passage, what might hinder open data sharing?

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.
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答案:

C

解析:

48. C)The belief that research data is private intellectual property.

解析:首先在题目中找到定位词hinder open data sharing,然后回原文定位到第3段前两句。首先第1句提出这些障碍在消失,部分原因是世界上的一些期刊以及赞助机构鼓励科学家把他们的数据公开化,同时英国皇家学会也指出科学家需要改变将数据看作是受保护的私人财产这一研究文化氛围。最后看选项:A)害怕大数据被复制剽窃,定位句没提到massive copying,故错误。B)缺乏研究文化氛围,并不是缺乏而是要转换过来,故错误。C)认为研究数据是私人知识财产的信念,与定位句中private preserve一致,故正确。D)对某些机构可能从中获利的担忧,定位句只提到了赞助机构,没有提到make profit,故错误。

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