社会科学家寻找数据的真实信息需求
Genuine Information Needs of Social Scientists Looking for Data
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中文总结 AI 辅助
本研究通过对72名社会科学研究者开展在线调查，分析其数据信息需求并与现有元数据模型及搜索系统对比，发现二者存在不匹配。
中文摘要 AI 辅助
发布研究数据被广泛认为可提升其复用率并催生新研究。在社会科学领域，来自调查、访谈、民意测验及统计数据是研究的核心资源，长期以来有在数据档案和在线知识库中收集与提供研究数据的传统，研究人员借助这些系统识别与其研究相关的数据。然而，尤其在数据搜索场景中，用户复杂的信息需求似乎与数据搜索系统的能力不匹配，而搜索能力在很大程度上取决于描述数据所用的元数据方案。本研究开展了一项在线调查，对象为72名社会科学研究人员，要求他们像向同事求助那样表述自身对研究数据的个性化信息需求，对这些需求进行分析并将其不同组成部分归为主题、元数据和意图三类，再将这些类别及其内容与现有研究数据元数据模型、现有数据搜索系统提供的搜索和筛选功能进行对比。研究发现，用户对数据的需求与元数据层面及搜索系统功能所提供的内容之间存在不匹配。
英文摘要
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.
发表机构
- GESIS – Leibniz Institute for the Social Sciences（GESIS – 莱布尼茨社会科学研究所）
- German Aerospace Center（德国航空航天中心）
机构由 AI 辅助整理，请以论文原文为准。
