社会科学研究者找数据时需求复杂，现有系统匹配不足。
Genuine Information Needs of Social Scientists Looking for Data
- 通过问卷收集72位学者的真实数据需求
- 发现用户需求与元数据描述存在明显不匹配
- 适合数据平台设计者与社科研究者参考
公开研究数据被广泛认为能提升数据复用率并激发新研究。在社会科学领域，调查、访谈、民意测验和统计数据是主要研究资源，长期通过数据档案库和在线资源库保存与共享。研究人员依赖这些系统寻找相关数据，但数据搜索中用户的复杂信息需求常与系统能力冲突。搜索功能高度依赖用于描述数据的元数据方案。本研究对72名社会科学研究员开展在线调查，模拟其向同事求助时的个体化数据需求表达。分析发现，这些需求可归为三类：主题、元数据和意图。将这些类别与现有元数据模型及数据检索系统的筛选功能进行对比，结果表明用户实际需求与元数据层级和系统搜索能力之间存在显著不匹配。
原文摘要 · Abstract (English)
Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are primary resources for research. There is a long tradition to collect and offer research data in data archives and online repositories. Researchers use these systems to identify data relevant to their research. However, especially in data search, users' complex information needs seem to collide with the capabilities of data search systems. The search capabilities, in turn, depend to a high degree upon the metadata schemes used to describe the data. In this research, we conducted an online survey with 72 social science researchers who expressed their individual information needs for research data like they would do when asking a colleague for help. We analyzed these information needs and attributed their different components to the categories: topic, metadata, and intention. We compared these categories and their content to existing metadata models of research data and the search and filter opportunities offered in existing data search systems. We found a mismatch between what users have as a requirement for their data and what is offered on metadata level and search system possibilities.
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