Effects of domain knowledge on reference search with the PubMed database: An experimental study

Vibert, Nicolas; Ros, Christine; Bigot, Ludovic Le; Ramond, Mélanie; Gatefin, Jérôme; Rouet, Jean-François

doi:10.1002/asi.21078

Cited by 33 publications

(52 citation statements)

References 70 publications

(132 reference statements)

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“…During this process, however, they may experience conflicts and disagreements in defining curation roles and thus yield contested interpretation of curated data. Previous research indicates that scientists' domain knowledge affects their information seeking behavior and their interactions with information systems and software tools (Brown, 2003;Hemminger et al, 2007;Vibert et al, 2009;Wu et al, 2012). It can be assumed that biologists have a high level of declarative knowledge of biology, whereas computational scientists have a high level of procedural knowledge of computer systems.…”

Section: Domain Knowledge In Genome Curationmentioning

confidence: 99%

Domain knowledge and data quality perceptions in genome curation work

Huang

2015

Journal of Documentation

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Purpose -The purpose of this paper is to understand genomics scientists' perceptions in data quality assurances based on their domain knowledge. Design/methodology/approach -The study used a survey method to collect responses from 149 genomics scientists grouped by domain knowledge. They ranked the top-five quality criteria based on hypothetical curation scenarios. The results were compared using χ 2 test. Findings -Scientists with domain knowledge of biology, bioinformatics, and computational science did not reach a consensus in ranking data quality criteria. Findings showed that biologists cared more about curated data that can be concise and traceable. They were also concerned about skills dealing with information overloading. Computational scientists on the other hand value making curation understandable. They paid more attention to the specific skills for data wrangling. Originality/value -This study takes a new approach in comparing the data quality perceptions for scientists across different domains of knowledge. Few studies have been able to synthesize models to interpret data quality perception across domains. The findings may help develop data quality assurance policies, training seminars, and maximize the efficiency of genome data management.

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Section: Domain Knowledge In Genome Curationmentioning

confidence: 99%

Domain knowledge and data quality perceptions in genome curation work

Huang

2015

Journal of Documentation

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“…Although many of the complex queries supported by our search tool could potentially be decomposed into a series of simple keyword searches, studies [66][67][68] have also shown that finding information using keyword search alone is time-consuming and frequently prone to error. A French study [67] has investigated keyword search efficiency in a group of 32 life science researchers who were given various bibliographic search tasks using the PubMed online medical research database. The study sought to investigate the effects of domain knowledge (in this case, neuroscience) and resource knowledge (PubMed) on the speed and accuracy of reference searching.…”

Section: Overviewmentioning

confidence: 99%

A computational framework for authoring and searching product design specifications

Weissman¹,

Petrov²,

Gupta³

2011

Advanced Engineering Informatics

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“…Although time is included in descriptions of the context of information retrieval [9] and is a commonly used (yet difficult to interpret) measure of search [4], few studies have examined the impact of limited time on search. Differences in searching behavior have been found to be related to a number of contextual and situational factors including perceived task difficulty [15], search expertise [25], domain expertise [27] and system performance [21]; however, the impact of limited time on information search behaviors and outcomes is little understood.…”

Section: Motivationmentioning

confidence: 99%

Too little time?

Crescenzi

2014

Proceedings of the 5th Information Interaction in Context Symposium

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People often experience time pressure when searching, yet the impact of time pressure on search behaviors and outcomes has not been studied extensively by the information science and information retrieval communities. In addition, experimental interactive information retrieval studies often include researcherimposed time limits that may influence participants' search behavior and outcome measures in ways that are not well understood. This research proposes a systematic investigation of imposed time constraints on frequently used interaction measures and participants' perceptions of the search process and outcome. MOTIVATION"To achieve great things, two things are needed: a plan and not quite enough time." -Leonard Bernstein Savolainen [20] described time as "one of the main contextual factors of information-seeking" and presents three main ways in which time has been considered in studies of information-seeking: "(i) time as a fundamental attribute of situation or context of information seeking, (ii) time as qualifier of access to information, and (iii) time as an indicator of the information-seeking process" (p. 110). Although time is included in descriptions of the context of information retrieval [9] and is a commonly used (yet difficult to interpret) measure of search [4], few studies have examined the impact of limited time on search. Differences in searching behavior have been found to be related to a number of contextual and situational factors including perceived task difficulty [15], search expertise [25], domain expertise [27] and system performance [21]; however, the impact of limited time on information search behaviors and outcomes is little understood.In interactive information retrieval (IIR) studies, researchers often limit the time available to study participants. In a systematic review of IIR literature, Kelly & Sugimoto [12] found variation in how study time limits were imposed or reported. In 39% of the studies researchers set time limits for participants with a mean of 17 minutes (SD=13, median=15). In 4% of studies, researchers explicitly stated that they did not set a time limit; however, researchers did not indicate whether or not there was a time limit in 42% of the reviewed studies. There is some evidence from prior studies (both naturalistic and observational) that time constraints and user-perceived time pressure can lead to differences in the information-seeking process [1, 10]. Very few experimental studies have explicitly examined the impact of time pressure on search behaviors [24], although in some cases, researchers have noted that the time constraints may have altered the behavior or perceptions of study participants [13].Experimental studies of decision-making have more extensively studied the impact of time pressure on information use and decision quality. In these studies, time pressure is experimentally induced through time constraints, instructions to participants to complete tasks quickly, financial incentives or by making participants aware of time passing by including a ...

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Effects of domain knowledge on reference search with the PubMed database: An experimental study

Cited by 33 publications

References 70 publications

Domain knowledge and data quality perceptions in genome curation work

Domain knowledge and data quality perceptions in genome curation work

A computational framework for authoring and searching product design specifications

Too little time?

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