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The increasing amount of research data provides the opportunity to link andintegrate data to create novel hypotheses, to repeat experiments or to comparerecent data to data collected at a different time or place. However, recentstudies have shown that retrieving relevant data for data reuse is atime-consuming task in daily research practice. In this study, we explore whathampers dataset retrieval in biodiversity research, a field that produces alarge amount of heterogeneous data. We analyze the primary source in datasetsearch - metadata - and determine if they reflect scholarly search interests.We examine if metadata standards provide elements corresponding to searchinterests, we inspect if selected data repositories use metadata standardsrepresenting scholarly interests, and we determine how many fields of themetadata standards used are filled. To determine search interests inbiodiversity research, we gathered 169 questions that researchers aimed toanswer with the help of retrieved data, identified biological entities andgrouped them into 13 categories. Our findings indicate that environments,materials and chemicals, species, biological and chemical processes, locations,data parameters and data types are important search interests in biodiversityresearch. The comparison with existing metadata standards shows thatdomain-specific standards cover search interests quite well, whereas generalstandards do not explicitly contain elements that reflect search interests. Weinspect metadata from five large data repositories. Our results confirm thatmetadata currently poorly reflect search interests in biodiversity research.From these findings, we derive recommendations for researchers and datarepositories how to bridge the gap between search interest and metadataprovided.

Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?