Is Data Retrieval Different from Text Retrieval? An Exploratory Study

Bugaje, Maryam; Chowdhury, Gobinda

doi:10.1007/978-3-319-70232-2_8

Cited by 7 publications

(14 citation statements)

References 11 publications

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“…Market appraisal and review; addresses aim 1, and is reported in [17,26] 4. A technical experiment comparing data retrieval (DR) with traditional information retrieval (IR); addresses aims 2 & 3, and is reported in [16] Methods 1 and 2 above (questionnaire and interview) were conducted sequentially, the purpose of the latter being chiefly to probe further into and expand upon some of the findings and hints from the former. We briefly present each of the four in turn.…”

Section: Methodsmentioning

confidence: 99%

“…Notwithstanding this lacuna, however, various efforts among institutions and research centers towards developing RDM products have resulted in user-needs studies prior to system design and made evident attempts to accommodate those needs [1,[13][14][15]. But, though notable, the designs of these systems still leave much room for improvement [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Identifying Design Requirements of a User-Centered Research Data Management System

Bugaje

Chowdhury

2018

Lecture Notes in Computer Science

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Research data repositories perform many useful functions, the key ones being the storage of research datasets, and making the same discoverable for potential reuse. Over the years, various criteria for assessing the user-centeredness of information systems have been developed and standards have gradually been improved. However, there has been less development in case of research data management (RDM) systems. By means of a combination of userfocused research methods viz. questionnaire surveys, face-to-face interviews, a systematic appraisal of existing services and a technical experiment, we have sought to understand the meaning of user-centeredness pertaining to research data repositories, and identify some key indicators of it. We have furthermore translated our findings into design requirements based on which we propose to develop and test a prototype of a user-centered RDM system. This paper reports on how we identified the design requirements that would make the RDM systems more user-centered.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying Design Requirements of a User-Centered Research Data Management System

Bugaje

Chowdhury

2018

Lecture Notes in Computer Science

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“…Unlike research publications (text), data may be said to entail an active interaction: researchers do not "read" datasets in the passive sense that they do publications; rather, they "use" it by visualizing, combining, or manipulating it among other things. In the section that follows we briefly present the findings of a previous exploratory study that argues a strong case in favor of retrieval solutions designed purposely for use with data [3].…”

Section: Section Summarymentioning

confidence: 99%

“…It could be observed from Table 1 that the average file size of a single research dataset may in some disciplines amount to as much as 900 times over the average file size of a single research publication. The ordinary web browser, consequently, cannot support the preview of datasets online as it does research publications; and consequently in turn, datasets must necessarily be downloaded before even a glimpse of them could be had [3]. These false downloads of large files result in considerable processing overhead, and it is more advisable that the retrieval system returns a manageable subset of the data so that the user may view it beforehand and be able make an informed decision as to whether to download it.…”

Section: Comparison-in-action Between Text and Data Retrievalmentioning

confidence: 99%

“…Superficially, this fact may hardly be regarded as constituting a definite issue in itself, until the question is considered whether we interact differently with data than with publications; and, if so, whether there may not be better advantage, then, in modelling data retrieval systems specially to reflect the unique requirements and opportunities indicated by these differences. This is an important question retrieval-wise, partly because the task of tagging research datasets with metadata, which is the central component that powers the retrieval engine, is often complex; and partly because unlike the indexing of research papers by services like Web of Science, the indexing of research datasets is not standardized or controlled [3]. This paper recognizes the need to not only identify existing problem areas in data retrieval, such as the aforementioned; but as well the relationships of these problems to one another, in order that they may be traced to, and addressed at the root.…”

Section: Introductionmentioning

confidence: 99%

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Data Retrieval = Text Retrieval?

Bugaje

Chowdhury

2018

Transforming Digital Worlds

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Due to the comparatively more recent emergence of data retrieval systems than text-based search engines, the former have still yet to attain similar maturity in terms of standards and techniques. Most of the existing solutions for data retrieval are more or less makeshift adaptations of text retrieval systems rather than purpose-built solutions specially designed to cater to the particular peculiarities, subtleties, and unique requirements of research datasets. In this paper we probe into the key differences between text and data retrieval that bear practical relevance to the retrieval question; these differences we demonstrate by evaluating some representative examples of research data repositories as well as presenting findings from previous studies.

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Affective memories and perceived value: motivators and inhibitors of the data search-access process

Qiao

Liu

Hou

et al. 2023

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PurposeAs an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.Design/methodology/approachThis study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.FindingsThe results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.Originality/valueThrough the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.

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Is Data Retrieval Different from Text Retrieval? An Exploratory Study

Cited by 7 publications

References 11 publications

Identifying Design Requirements of a User-Centered Research Data Management System

Identifying Design Requirements of a User-Centered Research Data Management System

Data Retrieval = Text Retrieval?

Affective memories and perceived value: motivators and inhibitors of the data search-access process

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