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Open research questions in Data Quality and Management

137 gap statements mined from Data Quality and Management papers in our 7.9M-paper local library, which holds 873 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

  • The paper states future work will evaluate Cleansera's performance and empirical efficacy across industry datasets, but does not specify which industry types (healthcare, finance, e-commerce, manufacturing), dataset sizes, data quality profiles, or cleaning rule complexities will be tested. Comparative performance evaluation against existing data cleaning systems on standardized benchmarks is not outlined.

    Cleansera: A Context-Aware, Algorithm-Centric Data Cleaning System with RAG-Enhanced Intelligence · 2026 · DOI

  • Finally, the study shows that the bitemporal approach addresses the key limitations of traditional systems for handling historical data by storing both valid and transaction times.

    Comprehensive insights into bitemporal databases: a PRISMA-guided systematic literature review · 2026 · DOI

  • The cost of pairwise execution of ML models is prohibitive. Existing algorithms have limitations, including lack of statistical guarantees or inefficiency.

    Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees · 2026 · DOI

  • Existing algorithms either fail to provide statistical guarantees or become as inefficient as uniform sampling. There is a need for a method that simultaneously achieves statistical guarantees and high efficiency.

    Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees · 2026 · DOI

  • The need for a practical guide on passport data preparation using Excel. The lack of standardization and validation in genebanks managing passport data in spreadsheets.

    Guidance on passport data preparation using Excel: Data cleaning · 2026 · DOI

  • Finally, the recommendations made for mitigating the impacting factors should be explored, such as undertaking studies that utilise machine learning algorithms to find and correct outliers or performing data stakeholder analysis to understand how to best communicate uncertainties and achieve project outcomes.

    The DaTUM framework: a multi-sector thematic analysis of data quality dimensions and their impacting factors · 2026 · DOI

  • From the perspective of data management, one of the primary challenges for the implementation of such a system in battery cell production involves the diverse nature of the processes, encompassing batch, continuous, and single-unit production steps.

    Enabling Holistic Tracking and Tracing in Battery Cell Production: Data Management and Applications · 2026 · DOI

  • The current data divide between agricultural, public health, and biodiversity sectors is a primary barrier to implementing a true One Health approach. The lack of integrated data on livestock and biodiversity hinders our understanding of the ecological and public health impacts of global livestock production.

    Connecting the herd and the habitat: A plea for an AI-driven framework for integrating livestock and biodiversity data · 2026 · DOI

  • Lack of consistency in synthetic data provision. Lack of standards and consistent approaches. Ensuring synthetic data meets user needs and remains compliant.

    Guiding principles for the provision of synthetic data · 2026 · DOI

  • Prior approaches do not address file naming compliance in BIM/CDE environments. The lack of a systematic framework for assessing file name compliance. The need for a measurable and reproducible method for evaluating file name compliance.

    Level of Naming Compliance: Syntactic, Referential, and LLM-Supported Semantic Validation of BIM/CDE File Names · 2026 · DOI

  • The need for a guide on how to use Databus and MOSS. The lack of understanding of how to create personal user accounts, virtual accounts, and API keys.

    A Quick Guide for Databus and MOSS - A step by step guide how to register data to Databus and MOSS · 2026 · DOI

  • Prior matrix mechanisms are not scalable or optimal for large datasets. There is a need for mechanisms that support more general workloads beyond simple marginals.

    ResidualPlanner+: a scalable matrix mechanism for marginals and beyond. · 2026 · DOI

  • The gap is that traditional approaches rely on predefined schemas and handcrafted features, limiting generalisability. Prior reconciliation methods such as DeepJoin, WarpGate, and Lotus do not operationalise reconciliation at scale. The paper identifies the need for a generalisable methodology that captures both structural equality and semantic relationships.

    Detecting reconciliation discrepancies in tabular data using transformers · 2026 · DOI

  • The lesson from West Sumbawa is not that the Health Data Bank was poorly conceived, but that its institutional conditions were insufficiently prepared.

    When Data Reform Meets Bureaucratic Hierarchy: A Political Economy Analysis of Institutionalizing a District Health Data Bank in West Sumbawa District, Indonesia · 2026 · DOI

  • Future research will explore the use of NoSQL databases to better support the storage and analysis of multimodal medical data. Future work will focus on integrating cutting-edge technologies such as blockchain audit logs and homomorphic encryption to construct a secure governance framework for multicenter data use.

    Construction and validation of a patient-centered data governance platform for multimodal dental implant data management · 2026 · DOI

  • Existing data cleaning tools use static, rule-based approaches and do not accommodate the unique needs of a specific domain. Data cleaning is one of the most time-consuming phases of the entire data lifecycle.

    Cleansera: A Context-Aware, Algorithm-Centric Data Cleaning System with RAG-Enhanced Intelligence · 2026 · DOI

  • Investigating the application of AI-driven harmonisation to other domains where data integration is challenging. Exploring the potential of the federated data network to inform evidence-based decision-making for managing the planet's interconnected agricultural and natural ecosystems.

    Connecting the herd and the habitat: A plea for an AI-driven framework for integrating livestock and biodiversity data · 2026 · DOI

  • Investigating the impact of different LLM capacities on the optimal parameters Ss and Sd - Exploring the use of other attribute types, such as categorical attributes - Developing more efficient methods for identifying hard…

    LLM-powered clustering for entity resolution · 2026 · DOI

  • The second layer's primary contribution lies in the qualitative synthesis of the selected literature, including a comparative evaluation of bitemporal models, an assessment of DBMS infrastructure support, analysis of domain-specific applications, and the identification of research gaps.

    Comprehensive insights into bitemporal databases: a PRISMA-guided systematic literature review · 2026 · DOI

  • Further development of the framework to support large-scale research projects. Integration of the framework with other data management systems. Application of the framework to other domains, such as environmental science or biology.

    A database-driven research data framework for integrating and processing high-dimensional geoscientific data · 2026 · DOI

  • The approach handles large, complex schemas by finding the most relevant tables and columns for a given query. Across the 11-domain subsets of the BIRD benchmark dataset, the system consistently outperforms non-agentic approach. Vector search and schema enrichment raise semantic accuracy more than exact match and reduce number of query iterations resulting in low latency.

    AgentNLQ: A General-Purpose Agent for Natural Language to SQL · 2026

  • Validation of the framework's broader applicability across different regions, pollutants, and scenarios. Exploration of integration with other environmental management systems.

    OpenClaw-Based Intelligent Governance of Historical Environmental Assessment Data for Sustainable Environmental Management: A Case Study on Volatile Organic Compounds · 2026 · DOI

  • Validates the applicability of OpenClaw across different regions, pollutant domains, and migration scenarios.

    OpenClaw-Based Intelligent Governance of Historical Environmental Assessment Data for Sustainable Environmental Management: A Case Study on Volatile Organic Compounds · 2026 · DOI

  • We also introduce SEAL (Schema Evaluation and Accuracy in Language-to-SQL), a novel composite metric that holistically evaluates system performance while penalizing inconsistent results.

    SAFAARI: Schema-Aware Framework for Accelerated Advertiser Response Intelligence · 2026

  • Making ResidualPlanner+ optimal for range queries, - Handling hierarchical structures, - Extending the combination of scalability, flexible choice of loss functions, and especially optimality more…

    ResidualPlanner+: a scalable matrix mechanism for marginals and beyond. · 2026 · DOI

Most-cited papers in Data Quality and Management

Most recent work

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Open questions raised by papers listed on this page include: (1) Existing algorithms have limitations, including lack of statistical guarantees or inefficiency (“Accelerating Approximate Analytical Join Queries over Unstructured Data with…”, 2026); (2) The lack of standardization and validation in genebanks managing passport data in spreadsheets (“Guidance on passport data preparation using Excel: Data cleaning”, 2026); (3) The lack of a systematic framework for assessing file name compliance (“Level of Naming Compliance: Syntactic, Referential, and LLM-Supported Semantic…”, 2026); (4) The lack of understanding of how to create personal user accounts, virtual accounts, and API keys (“A Quick Guide for Databus and MOSS - A step by step guide how to register data…”, 2026); (5) There is a need for mechanisms that support more general workloads beyond simple marginals (“ResidualPlanner+: a scalable matrix mechanism for marginals and beyond”, 2026). 137 gap statements have been mined from Data Quality and Management papers in our 7.9M-paper local library, which holds 873 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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