Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.

Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

Abstract: In a 2016 survey of 704 National Science Foundation (NSF) Biological Sciences Directorate principal investigators (BIO PIs), nearly 90% indicated they are currently or will soon be analyzing large data sets. BIO PIs considered a range of computational needs important to their work, including high performance computing (HPC), bioinformatics support, multistep workflows, updated analysis software, and the ability to store, share, and publish data. Previous studies in the United States and Canada emphasized infrastructure needs. However, BIO PIs said the most pressing unmet needs are training in data integration, data management, and scaling analyses for HPC-acknowledging that data science skills will be required to build a deeper understanding of life. This portends a growing data knowledge gap in biology and challenges institutions and funding agencies to redouble their support for computational training in biology.

An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management

Abstract: Water scarcity and floods are the major challenges for human society both present and future. Effective and scientific management of water resources requires a good understanding of water cycles, and a systematic integration of observations can lead to better prediction results. This paper presents an integrated approach to water resource management based on geoinformatics including technologies such as Remote Sensing (RS), Geographical Information Systems (GIS), Global Positioning Systems (GPS), Enterprise Information Systems (EIS), and cloud services. The paper introduces a prototype IIS called Water Resource Management Enterprise Information System (WRMEIS) that integrates functions such as data acquisition, data management and sharing, modeling, and knowledge management. A system called SFFEIS (Snowmelt Flood Forecasting Enterprise Information System) based on the WRMEIS structure has been implemented. It includes operational database, Extraction-Transformation-Loading (ETL), information warehouse, temporal and spatial analysis, simulation/prediction models, knowledge management, and other functions. In this study, a prototype water resource management IIS is developed which integrates geoinformatics, EIS, and cloud service. It also proposes a novel approach to information management that allows any participant play the role as a sensor as well as a contributor to the information warehouse. Both users and public play the role for providing data and knowledge. This study highlights the crucial importance of a systematic approach toward IISs for effective resource and environment management.

Performance Management: Finding the Missing Pieces (to Close the Intelligence Gap)

Abstract: About the Author. About the Web Site. Preface. 1. Why the Need for Performance Management as a System? PART ONE: Performance Management Process. 2. Integrating a Suite of Proven Methodologies. 3. Support from Fact-Based Data and Information Technology. PART TWO: Strategy Maps and Balanced Scorecards: The Link between Strategy and Successful Execution by Operations. 4. Measurement Problems and Solutions. 5. Strategy Maps and Scorecards as a Solution. 6. Strategic Objectives' Drive Gears: Cascading Measures. 7. A Recipe for Implementation. 8. The Human Side of Collaboration. 9. Fact-Based Management Accounting Data. 10. Scorecards and Strategy Maps: Enablers for Performance Management. PART THREE: Leveraging Financial Analytical Facts and Truths. 11. If Activity-Based Management Is the Answer, What Is the Question? 12. Activity-Based Management Model Design and Principles: Key to Success. 13. Operational (Local) Activity-Based Management for Continuous Improvement. 14. Strategic Activity-Based Management for Customer and Channel Profitability Analysis. 15. Predictive Costing, Predictive Accounting, and Budgeting. 16. Activity-Based Management Supports Performance Management. PART FOUR: Integrating Performance Management with Core Solutions. 17. Customer Intelligence and Customer Relationship Management. 18. Supplier Intelligence: Managing Economic Profit across the Value Chain. 19. Process Intelligence with Six Sigma Quality and Lean Thinking. 20. Shareholder Intelligence: Return on Whose Investment? 21. Employee Intelligence: Human Capital Management. PART FIVE: Performance Management, Business Intelligence, and Technology. 22. Data Management and Mining with Performance Management. 23. Final Thoughts: Linking Customers to Shareholders. Index.

Content-based retrieval of dynamic PET functional images

Abstract: The recent information explosion has led to a massively increased demand for multimedia data storage in integrated database systems. Content-based retrieval is an important alternative and complement to traditional keyword-based searching for multimedia data and can greatly enhance information management. However, current content-based image retrieval techniques have some deficiencies when applied in the biomedical functional imaging domain. In this paper, we presented a prototype design for a content-based functional image retrieval database system for dynamic positron emission tomography (PET). The system supports efficient content-based retrieval based on physiological kinetic features and reduces image storage requirements. This design makes it possible to maintain a large number of patient data sets online and to rapidly retrieve dynamic functional image sequences for the interpretation and generation of physiological parametric images, and offers potential advantages in medical image data management and telemedicine, as well as providing possible opportunities in the statistical and comparative analysis of functional image data.

System and methods for improved diabetes data management and use employing wireless connectivity between patients and healthcare providers and repository of diabetes management information

Abstract: Methods, devices and a system for disease management are provided that employ diagnostic testing devices (e.g., blood glucose meters) and medication delivery devices (e.g., insulin delivery devices) for providing data to a repository in real-time and automatically. Repository data can be analyzed to determine such information as actual test strip use, patient health parameters to outside prescribed ranges, testing and medication delivery compliance, patient profiles or stakeholders to receive promotional items or incentives, and so on. Connected meters and medication delivery devices and repository data analysis are also employed to associate a diagnostic test to a mealtime based on timing of a therapeutic intervention performed by an individual.