Data processing improvement is one of the main driven forces of S&T information service innovation. It becomes more and more difficult for S&T information institutes to face the challenges of scattered data resources, deepened and widened users' demands, and the complexity of big data analysis technologies. Meanwhile, these challenges make it possible for the innovation and sharp turn to new information service models. This paper analyzed the technical environment of big data, deconstructed the main challenges of intelligence work, and gave several suggestions as countermeasures.%数据处理是科技情报机构服务创新的动力.大数据的离散分布和开放可得、用户信息需求向深度广度发展以及资源服务一体化,弱化了科技情报机构的资源优势,提高了信息分析的难度,给科技情报机构的服务能力提出了挑战.同时,也为大规模资源保障体系和信息服务模式的创新提供了可能.文章从大数据科技环境的时代特征着手,分析了大数据环境对科技情报工作的主要挑战,并结合当前实践提出了相应的对策建议.
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