协同数据处理的挑战
On the Challenges of Collaborative Data Processing
摘要：
在过去的30年里，我们看到了各种各样的科学和商业电子协作工具的诞生。一些最知名的协作工具支持文本编辑（例如，wiki）。维基百科的成功表明，大规模的合作可以产生非常有价值的内容。与此同时，许多结构化数据正在收集并公开提供。我们从来没有获得过更强大的数据库和统计软件包。大规模的数据分析是可能的吗？通过对Web 2.0数据可视化网站的定量分析，我们发现至少有适度的开放式协作。然后，我们探讨了数据协作的一些限制因素。
英文摘要：
The last 30 years have seen the creation of a variety of electronic collaboration tools for science and business. Some of the best-known collaboration tools support text editing (e.g., wikis). Wikipedia's success shows that large-scale collaboration can produce highly valuable content. Meanwhile much structured data is being collected and made publicly available. We have never had access to more powerful databases and statistical packages. Is large-scale collaborative data analysis now possible? Using a quantitative analysis of Web 2.0 data visualization sites, we find evidence that at least moderate open collaboration occurs. We then explore some of the limiting factors of collaboration over data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
