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生态综合的信息检索。

Information retrieval for ecological syntheses.

机构信息

Department of Crop and Environment Sciences, Harper Adams University, Newport, Shropshire, TF10 8NB, UK.

Centre for Environmental Policy, Imperial College London, London, SW7 2AZ, UK.

出版信息

Res Synth Methods. 2015 Jun;6(2):136-48. doi: 10.1002/jrsm.1120. Epub 2014 Jun 9.

Abstract

Research syntheses are increasingly being conducted within the fields of ecology and environmental management. Information retrieval is crucial in any synthesis in identifying data for inclusion whilst potentially reducing biases in the dataset gathered, yet the nature of ecological information provides several challenges when compared with medicine that should be considered when planning and undertaking searches. We present ten recommendations for anyone considering undertaking information retrieval for ecological research syntheses that highlight the main differences with medicine and, if adopted, may help reduce biases in the dataset retrieved, increase search efficiency and improve reporting standards. They are as follows: (1) plan for information retrieval at an early stage, (2) identify and use sources of help, (3) clearly define the question to be addressed, (4) ensure that provisions for managing, recording and reporting the search are in place, (5) select an appropriate search type, (6) identify sources to be used, (7) identify limitations of the sources, (8) ensure that the search vocabulary is appropriate, (9) identify limits and filters that can help direct the search, and (10) test the strategy to ensure that it is realistic and manageable. These recommendations may be of value for other disciplines where search infrastructures are not yet sufficiently well developed.

摘要

研究综合越来越多地在生态学和环境管理领域进行。在任何综合中,信息检索对于确定要包含的数据至关重要,同时还可以减少数据集中的偏差,但与医学相比,生态信息的性质存在一些挑战,在进行搜索时应加以考虑。我们为考虑进行生态研究综合信息检索的人员提出了十项建议,这些建议强调了与医学的主要区别,如果采用这些建议,可能有助于减少检索到的数据集中的偏差,提高搜索效率并提高报告标准。它们如下:(1)在早期阶段计划信息检索,(2)识别和利用帮助来源,(3)明确要解决的问题,(4)确保有用于管理,记录和报告搜索的规定,(5)选择适当的搜索类型,(6)识别要使用的来源,(7)识别来源的局限性,(8)确保搜索词汇适当,(9)识别可以帮助指导搜索的限制和筛选器,以及(10)测试策略以确保其具有现实性和可管理性。这些建议可能对其他搜索基础设施尚未充分发展的学科具有价值。

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