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Open research questions in Scientific Measurement and Uncertainty Evaluation

85 gap statements mined from Scientific Measurement and Uncertainty Evaluation papers in our 4.5M-paper local library, which holds 497 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • However, this uncertainty estimation has not been addressed in deep learning-based TSOM.

    Bootstrap-Based Multitask Deep Learning Method for Uncertainty Estimation and Correction in TSOM · 2025 · DOI

  • To develop MEF software that includes uncertainty evaluation.

    On the Validation of Measurement Techniques in Solid Mechanics · 2026 · DOI

  • The need to extend measurement robustness beyond results and procedures. The challenge of analyzing the relations between theoretical assumptions, research questions, measurement procedures, manufactured effects, and genuine phenomena.

    Measurement in Murky Waters: Mapping the Complexity of Upstream Methodological Factors · 2026 · DOI

  • The paper highlights the need to extend measurement robustness beyond results and procedures to include how discipline-specific assumptions moderate measurement standards and research questions.

    Measurement in Murky Waters: Mapping the Complexity of Upstream Methodological Factors · 2026 · DOI

  • The lack of a Bayesian model for measurements by counting that addresses counting errors. The need for a model that incorporates prior information on the measurand and available knowledge on counting errors. The challenge of defining the number of checks to be performed in real-world counting problems.

    A Bayesian model for measurements by counting · 2026 · DOI

  • The lack of understanding of the effects of categorization and transformation errors on the correspondence between the underlying continuous variable and its ordinal measure. The need for a framework to understand the relationship between categorization and transformation errors.

    The relationship between ordinal measures and their underlying values: Why all the disagreement? · 1985 · DOI

  • The paper suggests future research directions in the context of statistical hypotheses testing under ordinal constraints. Future research can focus on developing more efficient and effective methods for testing weak stochastic transitivity.

    Statistical issues in measurement · 1985 · DOI

  • The paper identifies the gap in current research as the lack of a satisfactory method for testing weak stochastic transitivity. The gap is the lack of a framework for testing weak stochastic transitivity in probabilistic measurement theories.

    Statistical issues in measurement · 1985 · DOI

  • The current state of affairs is unsatisfactory. There is a need for a definite proposal for measuring relative changes. The paper identifies the lack of comparable helpful terminology and symbols in connection with log changes as a problem.

    How Should Relative Changes be Measured? · 1985 · DOI

  • The paper identifies a need to examine the effect of changing the rules of tennis on the probability of winning a game.

    The Standard Deviation and Absolute Deviations from the Mean · 1985 · DOI

  • The assumption of independence of the weights of an empty can and its contents. The lack of coverage of covariance in the WJEC syllabus.

    V[Y‐X] = V[Y] ± V[X] · 1984 · DOI

  • The WJEC syllabus does not include the topic of covariance. There is a need for an alternative method for answering the question.

    V[Y‐X] = V[Y] ± V[X] · 1984 · DOI

  • Future research should examine the effectiveness of other simple methods for eliciting weights in multiattribute utility contexts. Future research should examine the use of simple methods in different contexts. Future research should provide more evidence for the use of simple methods in multiattribute utility contexts.

    Approximate measurement in a multiattribute utility context · 1983 · DOI

  • The study suggests that future research should explore the generalizability of the results to other tasks or domains. The study suggests that future research should investigate the differences in how people estimate frequency and probability of events in different contexts. The study suggests that future research should provide more insights into the limitations of prior work and the need for further research.

    A test of task influences in uncertainty measurement · 1982 · DOI

  • The paper identifies the need for careful consideration of data sources, collection modes, and referents in instrument design. It highlights the importance of validation of instruments to ensure their accuracy and lack of bias.

    Design issues in developing and selecting measurement instruments · 1982 · DOI

  • The paper suggests that research is needed to address the problem of setting the standard. The paper suggests that research is needed to develop a better understanding of the practical implications of setting and using standards.

    Two Weak Spots in the Practice of Criterion‐referenced Measurement · 1982 · DOI

  • There is a need for a technique to equate scores on tests with different difficulties and intended for different ability groups. The Rasch model has not been widely used in vertical equating.

    VERTICAL EQUATING USING THE RASCH MODEL · 1980 · DOI

  • Further clarification of the concept of level of measurement is needed. The development of more precise measurement tools for social science variables is necessary.

    Level of Measurement · 1980 · DOI

  • The proposed concept is not limited to the combination of PGA and ICP-OES as demonstrated in this study, but it is applicable to any combination of any analytical methods for any element.

    Evaluation of analytical uncertainty in quantitative determination of elements - The case of boron · 2024 · DOI

  • There is no established rigorous method for validating measurement techniques in solid mechanics. The validation methods employed in published works are far from satisfactory.

    On the Validation of Measurement Techniques in Solid Mechanics · 2026 · DOI

  • The decision variable partition model, even when limited to the assumption of normal equal variance conditional distributions, can match fairly well group calibration curves and response proportions in a variety of cognitive and sensory discrimination tasks having a variety of formats.

    A model of calibration for subjective probabilities · 1980 · DOI

  • Further development of cRMPs and SI-traceable RMs - Integration of metrological traceability into test system…

    Metrological traceability enters the boardroom of IVD-manufacturers · 2026 · DOI

  • Prior work on metrological traceability was largely confined to technical departments - There was a lack of recognition of traceability as a competitive and clinical…

    Metrological traceability enters the boardroom of IVD-manufacturers · 2026 · DOI

  • Investigating the application of the Bayesian method to real-world counting problems, - Developing methods to specify the population size n in complex counting problems, - Exploring the use of alternative prior…

    A Bayesian model for measurements by counting · 2026 · DOI

  • The paper identifies a gap in the understanding of the practical implications of setting and using standards. The paper identifies a gap in the development of a better understanding of the effects of different instructions to judges.

    Two Weak Spots in the Practice of Criterion‐referenced Measurement · 1982 · DOI

Most-cited papers in Scientific Measurement and Uncertainty Evaluation

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Open questions raised by papers listed on this page include: (1) The lack of a Bayesian model for measurements by counting that addresses counting errors (“A Bayesian model for measurements by counting”, 2026); (2) There is no established rigorous method for validating measurement techniques in solid mechanics (“On the Validation of Measurement Techniques in Solid Mechanics”, 2026); (3) The lack of understanding of the effects of categorization and transformation errors on the correspondence between the underlying continuous variable and its ordinal measure (“The relationship between ordinal measures and their underlying values: Why all…”, 1985); (4) Future research can focus on developing more efficient and effective methods for testing weak stochastic transitivity (“Statistical issues in measurement”, 1985); (5) There is a need for a definite proposal for measuring relative changes (“How Should Relative Changes be Measured?”, 1985). 85 gap statements have been mined from Scientific Measurement and Uncertainty Evaluation papers in our 4.5M-paper local library, which holds 497 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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