A Digital Library for Research Data and Related Information in the Social Sciences

Abstract

In the social sciences, researchers search for information on the Web, but this is most often distributed on different websites, search portals, digital libraries, data archives, and databases. In this work, we present an integrated search system for social science information that allows finding information around research data in a single digital library. Users can search for research data sets, publications, survey variables, questions from questionnaires, survey instruments, and tools. Information items are linked to each other so that users can see, for example, which publications contain data citations to research data. The integration and linking of different kinds of information increase their visibility so that it is easier for researchers to find information for re-use. In a log-based usage study, we found that users search across different information types, that search sessions contain a high rate of positive signals and that link information is often explored. CCS CONCEPTS• Information systems~Digital libraries and archives

Characteristics of Dataset Retrieval Sessions: Experiences from a Real-life Digital Library

“…-Publication search is more common than dataset search, with almost 28% more submitted queries, in the ISS. This is in line with the observations already made in [7]. -Dataset search queries are much more repetitive than publication search queries with 69.88% queries getting re-issued to the search system; in contrast, the queries are less repeated (58.43%) for publication searches.…”

“…The ISS is mainly used by social scientists. A thorough report about the technical system, the content and its users can be found in [7].…”

“…Obtaining these kinds of behavioural data is usually hard. We address this shortcoming by analysing real-life user behaviour within a Digital Library for research data and related information for the social sciences [7]. As an initial outcome of this study, we report our findings on comparing dataset retrieval with document retrieval sessions corresponding to query characteristics, interaction sequences and topical drift within 65,000 unique search sessions.…”

Living Labs for Academic Search at CLEF 2020

“…To prepare the workshop, we will release some sample data sets from the scientific search systems LIVIVO 4 and GESIS-wide Search [5] 5 and some Docker templates to allow early adopters to implement first prototypes. At the workshop, we would like to have these early adopters who took part in this open beta phase to present their first-hand experiences to lay a foundation for a full-size campaign in 2021.…”

Information Visualization from the Perspective of Big Data Analysis and Fusion

“…In the big data environment, digital L&I information resources increase and age at a growing pace, with the diversification of data sources and the growth of data volume. Meanwhile, the user demand for discovery services is changing rapidly [1][2][3][4][5][6]. e visualization technique has been increasingly adopted to mine the data on L&I [7][8][9][10][11].…”