Full Name: 2026 8th International Conference on Big Data Management Abbreviation: ICBDM 2026 Place: Derby, UK Date: March 10-12, 2026 Sponsor: University of Derby Website: https://www.icbdm.org/ Welcome to ICBDM 2026! 2026 8th International Conference on Big Data Management (ICBDM 2026) will be held in Derby, UK during March 10-12, 2026! It's sponsored by University of Derby. The conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of big data management. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of big data management. CALL FOR PAPERS (Topics) Topics of interest for submission include, but are not limited to: Track 1: Big Data Analysis and Management Data Acquisition, Integration, Cleaning, and Best Practices Big Data Search Architectures, Scalability and Efficiency Cloud/Grid/Stream Data Mining- Big Velocity Data Semantic-based Data Mining and Data Pre-processing Big Data as a Service Data Lifecycle Management: From Collection to Archiving Data Governance Frameworks and Best Practices Data Management Standards (e.g., FAIR principles: Findable, Accessible, Interoperable, Reusable) Ethical Considerations in Data Management Algorithms and Systems for Big Data Search Visualization Analytics for Big Data Challenges in Managing Large-scale Datasets Big Data Processing Frameworks (e.g., Apache Spark, Apache Flink) Scalable Storage Solutions for Big Data Mobility and Big Data Methods for Data Collection: Surveys, Experiments, Sensors, Web Scraping Data Integration Techniques: ETL (Extract, Transform, Load) Processes Search and Mining of Variety of Data including Scientific and Engineering, Social, Sensor/IoT/IoE, and Multimedia Data Track 2: Data Structures and Data Models Multimedia and Multi-structured Data- Big Variety Data Computational Modeling and Data Integration Relational Databases (e.g., SQL) vs. NoSQL Databases (e.g., MongoDB, Cassandra) Data Warehousing and Data Lake Architectures Cloud-based Data Storage Solutions (e.g., AWS S3, Google BigQuery) Distributed Storage Systems for Big Data (e.g., Hadoop HDFS) Data Quality Metrics: Accuracy, Completeness, Consistency, and Timeliness Techniques for Data Cleaning and Preprocessing Handling Missing Data: Imputation Methods and Strategies Outlier Detection and Treatment in Datasets Real-Time Data Collection and Streaming Data Management Importance of Metadata in Data Management Metadata Standards and Schemas (E.G., Dublin Core, Schema.Org) Tools for Metadata Extraction and Management Role of Metadata in Data Discovery and Reuse Visualization of High-Dimensional Data Managing Unstructured Data (E.G., Text, Images, Videos) Data Silos and Interoperability Issues Track 3: Big Data Security and Privacy Visualizing Large Scale Security Data Threat Detection using Big Data Analytics Privacy Threats of Big Data Privacy Preserving Big Data Collection/Analytics HCI Challenges for Big Data Security & Privacy Sociological Aspects of Big Data Privacy Trust Management in IoT and Other Big Data Systems Data Encryption and Anonymization Techniques Role-based Access Control (RBAC) and Data Permissions Compliance with Data Protection Regulations (e.g., GDPR, CCPA) Secure Data Sharing and Transfer Protocols Visualizing Large Scale Security Data Balancing Data Accessibility with Security Trust Management in IoT and Other Big Data Systems HCI Challenges for Big Data Security & Privacy Track 4: Big Data Analysis Tools and Key Technologies Healthcare: Managing Electronic Health Records (EHR) and Patient Data Finance: Data Management for Fraud Detection and Risk Analysis Environmental Science: Managing Climate and Satellite Data Social Sciences: Handling Survey and Census Data E-Commerce: Customer Data Management and Personalization Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication Big Data Analytics in Small Business Enterprises (SMEs) Big Data Analytics in Government, Public Sector and Society in General Real-Life Case Studies of Value Creation through Big Data Analytics Experiences with Big Data Project Deployments Big Data as a Service Big Data Industry Standards Track 5: Application of Big Data in Information Systems Tools and Techniques for Exploratory Data Analysis (EDA) Interactive Dashboards for Data Exploration (E.G., Tableau, Power BI) Open-Source Data Management Tools (E.G., Apache Nifi, Talend) Data Management Platforms (E.G., Snowflake, Databricks) Cloud-Native Data Management Solutions Automation Tools for Data Pipelines (E.G., Airflow, Prefect) Data Pipelines for Machine Learning Workflows Feature Engineering and Dataset Preparation Managing Labeled and Unlabeled Data for Supervised and Unsupervised Learning Data Versioning and Reproducibility in ML Experiments Data Management for AI and Deep Learning Blockchain for Secure and Decentralized Data Management Federated Learning and Privacy-Preserving Data Management Quantum Computing and Its Impact on Data Management PUBLICATION Conference Proceedings Submitted papers will be strictly reviewed by the technical program committee. Accepted papers after successful registration and presentation will be included in Conference Proceedings, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICBDM to display their research results. SUBMISSION Submission Guide Word Template: https://icbdm.org/instruct8.5x11x2.docx LaTex Template: https://icbdm.org/ieee-latex-conference-template.zip Please prepare your submitted paper according to the above conference proceedings template. English is the official language of the conference, so the submitted paper is requested to be written in complete English and no less than 4 pages including figures and references. It may lead to direct rejection in the preliminary review if there is no enough content. Originality Any act of plagiarism is totally unacceptable academic misconduct and cannot be tolerated. This is the responsibility of the author to check plagiarism before submitting the paper to ICBDM. In the first round of paper review, the submitted papers will be checked plagiarism, including self-plagiarism. If any plagiarism is found, the paper will be rejected directly. Submission Method Welcome you to submit the paper by Electronic Submission System or Email (Email: icbdm_conf@outlook.com). CONFERENCE SCHEDULE March 10, 2026---(10 am--4 pm)----Registration, Collecting Conference Materials (2 pm--4 pm)----Academic Visit March 11, 2026---(Morning)----Opening Ceremony & Keynote Speeches (Afternoon)----Parallel Sessions March 12, 2026----Parallel Sessions CONTACT Conference Secretary: Ms. Joy Wei Email: icbdm_conf@outlook.com 10 am--5:30 pm (Mon.-Fri./GMT+8) Web: https://www.icbdm.org/