A method to support search string building in systematic literature reviews through visual text mining

Mergel, Germano Duarte; Silveira, Milene Selbach; Silva, Tiago Silva da

doi:10.1145/2695664.2695902

Cited by 29 publications

(37 citation statements)

References 14 publications

(19 reference statements)

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“…However, less interest has been given on the preparation stage, and particularly in the task of building a convenient string that allows to retrieve as many results as possible related to the topic of interest. Even though different studies show that many researches find difficulties when constructing the search string [4], this task has mainly been left to the knowledge and judgment of the researchers conducting the review.…”

Section: Related Workmentioning

confidence: 99%

Decision support tools for SLR search string construction

Marcos-Pablos

García-Peñalvo

2018

Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality

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Systematic literature reviews (SLRs) have gained popularity during the last years as a form of providing state of the art about previous research. As part of the SLR tasks, devising the search strategy and particularly finding the right keywords to be included in the search string is a difficult and critical step, as it will determine what evidence will be identified in the different searched sources and thus condition the rest of the review. In order to support the search process, this paper presents an iterative methodology for search string construction along with a set of decision support tools that help in building the search string by finding appropriate key terms related to the topic of interest in order to assist the researcher in the SLR conduction. CCS CONCEPTS • Applied computing → Document searching • Applied computing → Document analysis • Information systems → Document filtering • Information systems → Recommender systems

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Section: Related Workmentioning

confidence: 99%

Decision support tools for SLR search string construction

Marcos-Pablos

García-Peñalvo

2018

Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality

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“…4. searching and screening within an integrated system [8]. 5. developing search strategies objectively (see also [9]).…”

Section: 31mentioning

confidence: 99%

“…3. assisting with the way that searches can be translated between databases (for example the Polyglot Search Translator http://crebpsra.com/#/polyglot). 4 4. searching and screening within an integrated system [8]. 5. developing search strategies objectively (see also [9]).…”

mentioning

confidence: 99%

Evidence surveillance to keep up to date with new research

Thomas¹,

Noel-Storr²,

McDonald³

2018

Systematic Searching

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Overview of the topicResearch is being published at an ever-increasing rate and it is becoming more and more difficult for systematic reviewers to find research in a timely way and keep existing reviews updated as new studies are published.[1] This is a particular problem for organizations which maintain libraries of systematic reviews, such as the Cochrane and Campbell Collaborations, as the more systematic reviews they publish, the greater the burden of maintenance. It is also a challenge for guideline-producing organizations which, for pragmatic reasons, typically invest significant resources and effort in one-off periodic updates without knowing whether the evidence base has changed or has actually changed so rapidly that more frequent updating would have been warranted. Previous work has shown that systematic reviews can date very quicklywith some out of date as soon as they are published [2]and it is becoming clear that our current methods of research curation are wasteful of societal investment in research, and risk resulting in suboptimal outcomes. [3] This chapter is concerned with this problem of 'data deluge' and the need to maintain a better surveillance of research in order to keep abreast of new developments. It is thus related to work on Living Systematic Reviews (LSRs), that are 'continually updated, incorporating relevant new evidence as it becomes available'. [4,5] The chapter outlines developments in automation technologies that are already making the systematic review process more efficient and then focuses on the way that global research curation systems are organized. The chapter suggests that new approaches are needed in order to support the production of evidence syntheses in efficient and timely ways. Case studies 9.1 and 9.2 explain how these new developments are being put into practice to realise these benefits. 9.2Discussion New ways of working that integrate and capitalize on automation are necessary to tackle the growing burden of identifying and synthesizing research. New technologieswhich range from the mundane (such as identifying duplicates in bibliographic records) to full Artificial Intelligence (AI) systemsare under constant development and are already assisting various aspects of the evidence curation (see box) and discovery process. It is possible to break these new tools down into two broad categories:1. Tools which can make existing manual processes more efficient.2. Tools which aim to change the way systematic reviews are carried out in more fundamental ways by linking tools together and changing the sequencing of activities.The following section examines the potential for automation to assist in existing processes, and the section after that considers the potential for linking these tools into integrated surveillance systems for LSRs and other types of living evidence, such as guidelines.3 What is 'curation'?A key concept in this chapter is 'evidence curation'. 'Curation' as an idea has been around a long time, and concerns the activities necessary to manage, sort and ar...

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“…Although presented here as distinct applications, these applications could be used in combination and iteratively during search term development, or perhaps to analyse subcomponents of a search. They could also potentially be used on a set of screened records, either as quality assurance or as part of an integrated searching and screening system …”

Section: An Overview Of Applications Of Text Mining For Search Term Dmentioning

confidence: 99%

“…They could also potentially be used on a set of screened records, either as quality assurance 5 or as part of an integrated searching and screening system. 22…”

Section: An Overview Of Applications Of Text Mining For Search Termmentioning

confidence: 99%

Text mining for search term development in systematic reviewing: A discussion of some methods and challenges

Stansfield

O’Mara-Eves

Thomas

2017

Research Synthesis Methods

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Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term development for systematic reviewing. We found that the tools can be used in five overarching ways: improving the precision of searches; identifying search terms to improve search sensitivity; aiding the translation of search strategies across databases; searching and screening within an integrated system; and developing objectively-derived search strategies. Using a case study and selected examples, we then reflect on the utility of certain technologies (TF-IDF and Termine, term frequency, and clustering) in improving the precision and sensitivity of searches. Challenges in using these tools are discussed. The utility of these tools is influenced by the different capabilities of the tools, the way the tools are used, and the text that is analysed. Increased awareness of how the tools perform facilitates the further development of methods for their use in systematic reviews.

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A method to support search string building in systematic literature reviews through visual text mining

Cited by 29 publications

References 14 publications

Decision support tools for SLR search string construction

Decision support tools for SLR search string construction

Evidence surveillance to keep up to date with new research

Text mining for search term development in systematic reviewing: A discussion of some methods and challenges

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