Analyzing a large and diverse dataset, requiring the development of a systematic search and data analysis process

The gap

Evidence profile

Sourced from the future work and stated challenges and limitations of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• Comprehensive insights into bitemporal databases: a PRISMA-guided systematic literature review (2026) · Journal of Data Information and Management · doi

  directions Bitemporal model type Type of model used: RQ2 The methodology of this study is designed as a hybrid sys- tematic literature review approach. The first layer consists of bibliometric and scientometric analyses, which support the overall review rather than serving as independent methods (Hilmi et al. 2023). It employs VOSviewer and BibExcel as tools for bibliometric and scientometric mapping (Dou- lani 2021). The second layer's primary contribution lies in the qualitative synthesis of the selected literature, including a comparative evaluation of bitemporal models, an assess- ment of DBMS infrastructure support, analysis of domain- specific applications, and the identification of research gaps. The second layer applies the PRISMA framework and the GQM approach as methodological frameworks to guide the qualitative synthesis and systematic data extraction from the 54 included studies (Farina et al. 2022). Thus, integrating these two layers in a hybrid approach enables a more comprehensive understanding of the field by linking macro-level research patterns to micro-level tech- nical insights. Such combined approaches are increasingly recognised in systematic literature review practices, where bibliometric techniques are employed to strengthen, rather than replace, structured qualitative synthesis (Ding and Meng 2014b).

  generalfuture work
  Keywords: literature review approach layer bibliometric qualitative synthesis bitemporal model type hybrid scientometric support rather second
• Mapping the Physics-Mathematics Nexus: A Cross-Database Bibliometric Analysis Using R-Studio (2026) · Türkiye Eğitim Dergisi · doi

  identifying to METHOD To achieve the objectives of this study, a systematic search and data analysis process was adopted, utilizing two internationally respected bibliographic databases: Web of Science (WoS) and Scopus. These databases were chosen because they cover many scientific publications, index high-quality journals and conference proceedings, and provide the necessary metadata fields (author, title, abstract, keywords, citations, etc.) for bibliometric analyses. Using two different databases aimed to minimize potential single-database bias, thereby obtaining a more comprehensive and reliable dataset (Falagas et al., 2008; Mongeon & Paul-Hus, 2016). The workflow of the study is visualized in Figure 1. 70 | S a y f a Türkiye Eğitim Dergisi 2026, Cilt 11, Sayı 1, s. 67-87 M.A.Kurnaz Figure 1. Data Sources Search Strategy As seen in Figure 1, the search strategy was designed to focus on the theme of "Mapping the Physics-Mathematics Nexus." Expert subject knowledge and preliminary literature reviews supported the keyword identification process. Specifically, search queries were structured using a broad set of Boolean operators containing key terms in relevant fields. For example, "physics" AND "mathematics" terms were combined to examine the intersections in physics education and mathematics education. Related terms such as "education" OR "teaching" OR "learning" were also included in the search criteria. The search criteria were determined as follows:  Language of Study: English. This criterion was applied because the vast majority of scientific publications are in English, and it ensures international validity.  Document Type: Only peer-reviewed articles were included. This was done to guarantee the scientific quality and depth of the study. Document types such as editorial notes, book chapters, Early Access, and Proceedings Papers were excluded.  Time Period: 2000-2025. This timeframe was preferred to capture current trends and developments in the field, as well as because bibliometric databases offer more standardized and comprehensive metadata for this period. All relevant records obtained from the WoS and Scopus databases using the defined search strategy were downloaded. The downloaded data were in BibTeX and CSV formats and were subsequently processed to be suitable for analysis. Following the data collection process, a comprehensive preprocessing stage was applied to ensure the consistency and accuracy of the dataset. The following steps were taken during this stage: (i) Application of Inclusion and Exclusion Criteria: In addition to the initially determined search criteria, an additional filtering process was applied by thoroughly examining the titles and abstracts of the retrieved articles. This manual filtering is critical to ensure the articles focus on the "Physics-Mathematics Nexus." The inclusion and exclusion criteria detailed in Table 1 guided this filtering process (Jia, Sun, & Looi, 2023). These criteria ensured the elimination of articles that did not align with the specific focus of the study. 71 | S a y f a Türkiye Eğitim Dergisi 2026, Cilt 11, Sayı 1, s. 67-87 M.A.Kurnaz (ii) Data Merging: Records downloaded from WoS and Scopus were merged into a single dataset using the R programming language. The bibliometrix package (Aria & Cuccurullo, 2017) was specifically used for this process. The bibliometrix package has powerful functions enabling easy integration of bibliographic data from different databases. (iii) Detection and Removal of Duplicate Records: Potential duplicate records in the merged dataset were identified and removed. This process prevents the same publication from being listed multiple times in different databases and enhances the accuracy of the analyses (Aria & Cuccurullo, 2017). At the end of this meticulous preprocessing, 101 studies suitable for analysis were identified. Table 1. Inclusion and Exclusion Criteria

  generalfuture work
  Keywords: search process databases criteria using dataset physics mathematics articles records scopus scientific different comprehensive strategy
• Mapping the Physics-Mathematics Nexus: A Cross-Database Bibliometric Analysis Using R-Studio (2026) · Türkiye Eğitim Dergisi · doi

  The study faces the challenge of analyzing a large and diverse dataset, requiring the development of a systematic search and data analysis process. The study must address the limitation of relying solely on openly accessible secondary data, which may not be comprehensive or up-to-date. The study needs to overcome the challenge of identifying and analyzing the complex relationships between physics and mathematics, requiring a deep understanding of both fields.

  generalstated challenges
  Keywords: study faces challenge analyzing large diverse dataset requiring
• The impact of metaverse on global business dynamics: a 36-year bibliometric review and future research direction (2026) · Future Business Journal · doi

  Scientific field limiting “Business, Management and Accounting” : (N= 1,673) Document type limitation “Article, conference paper, review” : (N= 1,239) with bibliographic datasets from databases such as Sco- pus, Web of Science, and PubMed, allowing efficient analysis and visualization of publication data [73]. By contrast, bibliometrix is a quantitative framework and R package used to analyze trends in scholarly lit- erature, scientific publications, and academic commu- nication [4]. Through the bibliometrix package (and its biblioshiny interface), researchers can conduct analyses of publication trends, citation structures, co-authorship networks [132], keyword patterns, journal impact indica- tors [110], and geographic distributions, as well as per- form data integration and bibliometric mapping [36]. The package imports and organizes bibliographic data from sources such as Web of Science and Scopus [38]. It also supports the identification of prolific authors, the evolu- tion of research topics, and the structural characteristics of scholarly fields [21]. In addition, bibliometrix can be used to identify influential publications, analyze regional patterns, and extract and examine keyword relationships from academic documents [100]. As a result, bibliometric tools such as bibliometrix are frequently used to evalu- ate research development, identify emerging trends, and support decisions related to collaboration and resource allocation.

  generallimitationsevidence 5/5
  Keywords: bibliometrix package used trends scientific bibliographic science publication analyze scholarly publications academic keyword patterns bibliometric

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