Recent papers on Data and Methodological Gaps

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

1. Bridging the gap in passive mobility big data: a methodological systematic review of activity and trip purpose inference

   2026 · Expert Systems with Applications · Abdi, Amirhossein, Delbosc, Alexa, Rose, Geoffrey

   2026

2. Bridging the Semantic Gap: A Review of Data Interoperability Challenges and Advanced Methodologies from BIM to LCA

   2026 · Sustainability · Jia, Yilong, Zhang, Peng, Liu, Qinjun

   2026

3. Comparative analysis of performance gaps in the Sabre 11° test - ICFES: Data Science Methodology with Apache Spark and Machine Learning

   2026 · Repositorio Institucional (Pontificia Universidad Javeriana) · Montero, Santiago Ramirez

   2026

4. Supplementary Data for: Evidence Gap in AI-Enabled ECG Prediction: An Open-Access Methodological Audit

   2026 · Zenodo (CERN European Organization for Nuclear Research) · İŞLEYEN, Hasan Burak, Bulut, S.

   2026

5. Regime-Exact Inference for Growth, Coherence, and UncertaintyAcross scientic domains, estimators that perform exceptionally well in some regimes fail abruptly in others. These failures are commonly attributed to noise, insucient data, or poor tuning. We argue instead that the dominant failure mode is categorical: estimators are applied outside regimes in which their estimands are identiable under nite observation. We present a regime-exact framework that unies nite-sample ratio estimation (FSRE), co- herence ladders, inversion symmetry, harmonic kernels, and polynomial chaos expansion (PCE) under a single governing principle: estimation must be conditioned on identiability. We prove that ratio-based estimators are structurally ill-posed when exponential dominance cannot exist, introduce diagnostics that detect this boundary, and formalize estimator dispatch as a rst-class decision. The result is a disciplined inference system that distinguishes coherent, transitional, chaotic, and compression regimes, and routes estimation accordingly. The framework addresses a pervasive methodological gap: the conation of estimation fail- ure with data inadequacy. By establishing identiability as a precondition rather than an outcome, we provide principled criteria for when point estimation is permissible, when distribu- tional surrogates are required, and when inference should be suspended entirely. Applications span nancial time series, biological growth dynamics, signal processing, and physical systems exhibiting exponential behavior. Keywords: Identiability, ratio estimation, exponential growth, regime classication, polynomial chaos expansion, coherence, dominance, nite-sample inference

   2025 · Zenodo (CERN European Organization for Nuclear Research) · Coates, David

   2025

6. Identification of Non-Academic Competency Gaps of Students: An Integration of Design Thinking, Soft Systems Methodology, and Data Visualization

   2025 · Jatnika, Hendra, Purwanto, Nugraheni, Dinar Mutiara Kusumo

   2025

7. Synthetic Sewer Networks for Pluvial Flood Assessment in Urban Areas: A Data Gap Filling Methodology

   2025 · Hydrological Processes · Cruz‐Coronas, Àlex de la, Russo, Beniamino

   2025

8. Supplementary Data 3D Vector Basemap Generalization: A Systematic Review of the Methodological Gap Between Conventional Practice and Analytical Requirements

   2025 · Mendeley Data · Yogyrema, Putra,, Muhammad, Dimyati,

   2025

9. Bridging data gaps: Methodological advances in extracting and analyzing genetic information from unstructured clinical records in hereditary cancer

   2025 · Cancer Epidemiology · Cardona, Danny Styvens, Valencia-Arango, Juan Pablo, Gallo, J.L. et al.

   2025

10. Letter: Methodological Flaws and Clinical Gaps—A Critique of <scp>TAF</scp> / <scp>TDF</scp> 5‐Year Data in East Asian <scp>CHB</scp>

    2025 · Alimentary Pharmacology & Therapeutics · Shi, Zhiyao, Yang, XiaoKun, Wang, Xixing

    2025

11. Reply to Letter to the Editor: “Reassessing Predictors of Nodal Pathologic Complete Response in Breast Cancer: Methodological Strengths and Data Gaps in the National Cancer Database Analysis,” by Altundag

    2025 · Annals of Surgical Oncology · An, Selena J., Spanheimer, Philip M.

    2025

12. Reassessing Predictors of Nodal Pathologic Complete Response in Breast Cancer: Methodological Strengths and Data Gaps in the National Cancer Database

    2025 · Annals of Surgical Oncology · Altundağ, Kadri

    2025

13. Soil and Dust Ingestion Rate: Concept, Methodology, Available Data and Knowledge Gaps

    2025 · Global Environment Science · Yun, Peiyao, Han, Xu, Liu, Huiji et al.

    2025

14. Pediatric sleep movements: a review of methodologies, normative data, disease associations, and research gaps

    2025 · Journal of Clinical Sleep Medicine · Lu, Mimi, Fitzgerald, Dominic A., Norman, Mark B. et al.

    2025

15. Mind the Gap: Combining Traditional Survey Methodology with Computational Techniques for Producing Better Data to Understand Economic Violence Against Women

    2024 · OpenMETU (Middle East Technical University) · Türkoğlu, Hilal Arslan

    2024

16. PP042 Topic: AS04–Emerging Sciences, Methodologies, Big Data and Technology: THE SOCIAL MEDIA SOLUTION: BRIDGING THE GAP IN HEALTH SCIENCE EDUCATION WITH WHATSAPP (COVID-19 EXPERIENCE)

    2024 · Pediatric Critical Care Medicine · Mangia, Cristina, Carneluti, A., Goulart, C. et al.

    2024

17. Methodological Overview for eBird, iNaturalist, GAP Data, and Wildlife Richness

    2024 · Zhu, Rui, Newman, Galen

    2024

18. A methodological approach for filling the gap in extreme daily temperature data: an application in the Calabria region (Southern Italy)

    2024 · Theoretical and Applied Climatology · Barca, Emanuele, Guagliardi, Ilaria, Caloiero, Tommaso

    2024

19. Overview of data and methodologies and data gap identification in exposure assessment for PPPs in residential settings

    2023 · EFSA Supporting Publications · Tosti, Luca, Affourtit, Femke, Arapaki, Niki et al.

    2023

20. Studying Discourse from Corpus and Experimental Data: Bridging the Methodological Gap

    2022 · Discours · Crible, Ludivine

    2022

21. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 1: Methodology, general data gaps and uncertainties

    2021 · EFSA Journal · (BIOHAZ), EFSA Panel on Biological Hazards, Koutsoumanis, Konstantinos, Allende, Ana et al.

    2021

22. Replication Data for: Assessing Racial/Ethnic and Gender Gaps in Political Science PhD Students’ Methodological Self-efficacy

    2021 · Harvard Dataverse · Smith, Amy Erica, Gillooly, Shauna N., Hardt, Heidi

    2021

23. Bridging the Gap Between Methodology and Qualitative Data Analysis Software: A Practical Guide for Educators and Qualitative Researchers

    2021 · Sociological Research Online · Kalpokas, Neringa, Radivojevic, Ivana

    2021

24. The Gender Pay Gap Revisited with Big Data: Do Methodological Choices\n Matter?

    2021 · arXiv (Cornell University) · Strittmatter, Anthony, Wunsch, Conny

    2021

25. The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?

    2021 · SSRN Electronic Journal · Strittmatter, Anthony, Wunsch, Conny

    2021