Making research data findable in digital libraries: A layered model for user-oriented indexing of survey data

Friedrich, Tanja; Kempf, Andreas Oskar

doi:10.1109/jcdl.2014.6970150

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Based on the DDI standard, it is possible to give access to variables and questions from surveys to researchers who want to reuse them in their own studies. A number of data archives and institutions provide information systems for that purpose, e.g., ICPSR, Q-Bank 6 , American National Election Studies 7 , UK Data Service and Survey Data Netherlands 8 . The interlinking of publication and research data and the deep data model of surveys raise some retrieval problems.…”

Section: Linking and Retrieving Of Social Science Informationmentioning

confidence: 99%

“…One solution proposes the integration of research data and publications based on ontologies and statistical methods that can link down to the questions and variables level [23]. Query expansion on these levels can support retrievability [6], but also human or automatic indexing on all these levels would help [8].…”

Section: Linking and Retrieving Of Social Science Informationmentioning

confidence: 99%

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

Hienert

Kern

Boland

et al. 2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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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

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Section: Linking and Retrieving Of Social Science Informationmentioning

confidence: 99%

Section: Linking and Retrieving Of Social Science Informationmentioning

confidence: 99%

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

Hienert

Kern

Boland

et al. 2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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“…The assumption is that the indexing only needs to be performed once as long as the content has not changed. However this assumption does not hold for research data sets made up of digits instead of natural language vocabularies [12]. There is no good way to pre-index them for filtering queries yet to be invented in the future.…”

Section: Oais Information Modelmentioning

confidence: 99%

Towards Use And Reuse Driven Big Data Management

Xie

Chen

Speer

et al. 2015

Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries

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We propose a use and reuse driven big data management approach that fuses the data repository and data processing capabilities in a co-located, public cloud. It answers to the urgent data management needs from the growing number of researchers who don't fit in the big science/small science dichotomy. This approach will allow researchers to more easily use, manage, and collaborate around big data sets, as well as give librarians the opportunity to work alongside the researchers to preserve and curate data while it is still fresh and being actively used. This also provides the technological foundation to foster a sharing culture more aligned with the open source software development paradigm than the lone-wolf, gift-exchanging small science sharing or the top-down, highly structured big science sharing. To materialize this vision, we provide a system architecture consisting of a scalable digital repository system coupled with the co-located cloud storage and cloud computing, as well as a job scheduler and a deployment management system. Motivated by Virginia Tech's Goodwin Hall instrumentation project, we implemented and evaluated a prototype. The results show not only sufficient capacities for this particular case, but also near perfect linear storage and data processing scalabilities under moderately high workload.

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“…It is for this reason why subject content of a survey can hardly be concluded by the dataset itself, but rather from other pieces of information linked to the study the data had been collected for. It could only be derived from the study as a whole [6]. In general, three different levels of survey data structure can be distinguished.…”

Section: Social Science Survey Datamentioning

confidence: 99%

Query Expansion for Survey Question Retrieval in the Social Sciences

Dulisch

Kempf

Schaer

2015

Research and Advanced Technology for Digital Libraries

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In recent years, the importance of research data and the need to archive and to share it in the scientific community have increased enormously. This introduces a whole new set of challenges for digital libraries. In the social sciences typical research data sets consist of surveys and questionnaires. In this paper we focus on the use case of social science survey question reuse and on mechanisms to support users in the query formulation for data sets. We describe and evaluate thesaurus- and co-occurrence-based approaches for query expansion to improve retrieval quality in digital libraries and research data archives. The challenge here is to translate the information need and the underlying sociological phenomena into proper queries. As we can show retrieval quality can be improved by adding related terms to the queries. In a direct comparison automatically expanded queries using extracted co-occurring terms can provide better results than queries manually reformulated by a domain expert and better results than a keyword-based BM25 baseline.Comment: to appear in Proceedings of 19th International Conference on Theory and Practice of Digital Libraries 2015 (TPDL 2015

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Making research data findable in digital libraries: A layered model for user-oriented indexing of survey data

Cited by 3 publications

References 4 publications

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

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

Towards Use And Reuse Driven Big Data Management

Query Expansion for Survey Question Retrieval in the Social Sciences

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