Are There Any Differences in Data Set Retrieval Compared to Well-Known Literature Retrieval?

Kern, Dagmar; Mathiak, Brigitte

doi:10.1007/978-3-319-24592-8_15

Cited by 35 publications

(58 citation statements)

References 11 publications

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“…Creating queries. Users interact with datasets in a different manner than they interact with documents [78]. While this study is limited to social scientists, it indicates that users have a higher investment in the results, and are thus willing to spend more time searching.…”

Section: Queryingmentioning

confidence: 88%

Dataset search: a survey

et al. 2019

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Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data marketplaces, open data portals and data communities. Google recently beta released a search service for datasets, which allows users to discover data stored in various online repositories via keyword queries. These developments foreshadow an emerging research field around dataset search or retrieval that broadly encompasses frameworks, methods and tools that help match a user data need against a collection of datasets. Here, we survey the state of the art of research and commercial systems in dataset retrieval. We identify what makes dataset search a research field in its own right, with unique challenges and methods and highlight open problems. We look at approaches and implementations from related areas dataset search is drawing upon, including information retrieval, databases, entity-centric and tabular search in order to identify possible paths to resolve these open problems as well as immediate next steps that will take the field forward.

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Section: Queryingmentioning

confidence: 88%

Dataset search: a survey

et al. 2019

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“…(3) LOD Backend: The link infrastructure reuses the InFoLiS infrastructure 16 consisting of a Node.js based API backend which provides RESTful web services and a LOD (linked open data) representation of the data. The data is stored in a MongoDB in an RDF-based data model.…”

Section: Link Infrastructurementioning

confidence: 99%

“…In total, we conducted two observational studies, telephone interviews, a diary study, several iterations of click dummy tests and three comprehensive usability studies. All participants were social scientists with 16 The user studies to understand the context of use and to specify user requirements show the diversity of information needs in the field of Social Science. We categorized the collected information needs into the following categories:…”

Section: User-centered Design Processmentioning

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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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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“…For example, Wynholds et al (2012) show that, in the context of digital libraries, seeking and using documents and data for research purposes are different in terms of information needs, processes and required level of support. In user studies with social scientists, (Kern and Mathiak, 2015) found that the quantity and quality of metadata is more critical in dataset search than in literature search, where convenience prevails. Empirical social scientists in that study were willing to put more effort into the retrieval of research data than in literature retrieval.…”

Section: Selecting and Making Sense Of Datasetsmentioning

confidence: 99%

“…Research has focused more on extractive methods as abstractive methods are rather complex (Gambhir and Gupta, 2017). Based on existing studies in human data interaction, we believe that meaningful dataset summaries likely require abstractive elements including quality statements, descriptive statistics or topical coverage of a dataset (Gregory et al, 2017;Kern and Mathiak, 2015;Koesten et al, 2017;Boukhelifa et al, 2017).…”

Section: Automatic Summary Generationmentioning

confidence: 99%

Everything you always wanted to know about a dataset: Studies in data summarisation

Koesten

Simperl

Blount

et al. 2020

International Journal of Human-Computer Studies

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Summarising data as text helps people make sense of it. It also improves data discovery, as search algorithms can match this text against keyword queries. In this paper, we explore the characteristics of text summaries of data in order to understand how meaningful summaries look like. We present two complementary studies: a data-search diary study with 69 students, which offers insight into the information needs of people searching for data; and a summarisation study, with a lab and a crowdsourcing component with overall 80 data-literate participants, which produced summaries for 25 datasets. In each study we carried out a qualitative analysis to identify key themes and commonly mentioned dataset attributes, which people consider when searching and making sense of data. The results helped us design a template to create more meaningful textual representations of data, alongside guidelines for improving data-search experience overall.

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Are There Any Differences in Data Set Retrieval Compared to Well-Known Literature Retrieval?

Cited by 35 publications

References 11 publications

Dataset search: a survey

Dataset search: a survey

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

Everything you always wanted to know about a dataset: Studies in data summarisation

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