Problem
Research questions and friction points this paper is trying to address.
information needs
data search systems
metadata schemes
Genuine Information Needs of Social Scientists Looking for Data
🤖 AI Summary
研究针对社会科学者在数据搜索时遇到的信息需求与现有系统能力不匹配的问题，通过在线调查分析了72名研究人员的具体需求，并将其与现有元数据模型及搜索系统功能进行了对比。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
information needs
metadata schemes
data search systems
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