Exploring Research Data Management

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Author :
Publisher : Facet Publishing
ISBN 13 : 1783302801
Total Pages : 208 pages
Book Rating : 4.7/5 (833 download)

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Book Synopsis Exploring Research Data Management by : Andrew Cox

Download or read book Exploring Research Data Management written by Andrew Cox and published by Facet Publishing. This book was released on 2018-05-11 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes: A discussion of the drivers and barriers to RDM Institutional policy and making the case for Research Data Services Practical data management Data literacy and training researchers Ethics and research data services Case studies and practical advice from working in a Research Data Service. This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science.

Data Science in Engineering and Management

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Publisher : CRC Press
ISBN 13 : 1000520846
Total Pages : 159 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Science in Engineering and Management by : Zdzislaw Polkowski

Download or read book Data Science in Engineering and Management written by Zdzislaw Polkowski and published by CRC Press. This book was released on 2021-12-31 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Research Data Management and Data Literacies

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Publisher : Chandos Publishing
ISBN 13 : 0323860028
Total Pages : 198 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Research Data Management and Data Literacies by : Koltay Tibor

Download or read book Research Data Management and Data Literacies written by Koltay Tibor and published by Chandos Publishing. This book was released on 2021-10-31 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly offered by libraries. This new volume looks at data-intensive science, or ‘Science 2.0’ as it is sometimes termed in commentary, from a number of perspectives, including the tasks academic libraries need to fulfil, new services that will come online in the near future, data literacy and its relation to other literacies, research support and the need to connect researchers across the academy, and other key issues, such as ‘data deluge,’ the importance of citations, metadata and data repositories. This book presents a solid resource that contextualizes RDM, including good theory and practice for researchers and professionals who find themselves tasked with managing research data. Gives guidance on organizing, storing, preserving and sharing research data using Research Data Management (RDM) Contextualizes RDM within the global shift to data-intensive research Helps researchers and information professionals understand and optimize data-intensive ways of working Considers RDM in relation to varying needs of researchers across the sciences and humanities Presents key issues surrounding RDM, including data literacy, citations, metadata and data repositories

A data management system for scientific and engineering computing

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Publisher :
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.:/5 (489 download)

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Book Synopsis A data management system for scientific and engineering computing by : Linda Carolyn Elliott

Download or read book A data management system for scientific and engineering computing written by Linda Carolyn Elliott and published by . This book was released on 1978 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Communicating Science and Engineering Data in the Information Age

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Publisher : National Academies Press
ISBN 13 : 0309222125
Total Pages : 122 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Communicating Science and Engineering Data in the Information Age by : National Research Council

Download or read book Communicating Science and Engineering Data in the Information Age written by National Research Council and published by National Academies Press. This book was released on 2012-02-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) communicates its science and engineering (S&E) information to data users in a very fluid environment that is undergoing modernization at a pace at which data producer dissemination practices, protocols, and technologies, on one hand, and user demands and capabilities, on the other, are changing faster than the agency has been able to accommodate. NCSES asked the Committee on National Statistics and the Computer Science and Telecommunications Board of the National Research Council to form a panel to review the NCSES communication and dissemination program that is concerned with the collection and distribution of information on science and engineering and to recommend future directions for the program. Communicating Science and Engineering Data in the Information Age includes recommendations to improve NCSES's dissemination program and improve data user engagement. This report includes recommendations such as NCSES's transition to a dissemination framework that emphasizes database management rather than data presentation, and that NCSES analyze the results of its initial online consumer survey and refine it over time. The implementation of the report's recommendations should be undertaken within an overall framework that accords priority to the basic quality of the data and the fundamentals of dissemination, then to significant enhancements that are achievable in the short term, while laying the groundwork for other long-term improvements.

Data-Driven Science and Engineering

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Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Engineering and Management of Data Centers

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Publisher : Springer
ISBN 13 : 3319650823
Total Pages : 290 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Engineering and Management of Data Centers by : Jorge Marx Gómez

Download or read book Engineering and Management of Data Centers written by Jorge Marx Gómez and published by Springer. This book was released on 2017-11-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include: · Foundations of data centers: Key Concepts and Taxonomies · ITSDM: A Methodology for IT Services Design · Managing Risks on Data Centers through Dashboards · Risk Analysis in Data Center Disaster Recovery Plans · Best practices in Data Center Management Case: KIO Networks · QoS in NaaS (Network as a Service) using Software Defined Networking · Optimization of Data Center Fault-Tolerance Design · Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation · Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities · DevOps: Foundations and its Utilization in Data Centers · Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres · Application Software in Cloud-Ready Data Centers This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers.

Data Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 1441901760
Total Pages : 381 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Engineering by : Yupo Chan

Download or read book Data Engineering written by Yupo Chan and published by Springer Science & Business Media. This book was released on 2009-10-15 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter. The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.

Data-Driven Technology for Engineering Systems Health Management

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Publisher : Springer
ISBN 13 : 9811020329
Total Pages : 364 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Data-Driven Technology for Engineering Systems Health Management by : Gang Niu

Download or read book Data-Driven Technology for Engineering Systems Health Management written by Gang Niu and published by Springer. This book was released on 2016-07-27 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

Scientific Data Management

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Publisher : CRC Press
ISBN 13 : 9780367384760
Total Pages : 590 pages
Book Rating : 4.3/5 (847 download)

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Book Synopsis Scientific Data Management by : Arie Shoshani

Download or read book Scientific Data Management written by Arie Shoshani and published by CRC Press. This book was released on 2019-08-30 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization processes. It then focuses on the efficient data movement and management of storage spaces and explores emerging database systems for scientific data. The book also addresses how to best organize data for analysis purposes, how to effectively conduct searches over large datasets, how to successfully automate multistep scientific process workflows, and how to automatically collect metadata and lineage information. This book provides a comprehensive understanding of the latest techniques for managing data during scientific exploration processes, from data generation to data analysis. Enhanced by numerous detailed color images, it includes real-world examples of applications drawn from biology, ecology, geology, climatology, and more. Check out Dr. Shoshani discuss the book during an interview with International Science Grid This Week (iSGTW): http: //www.isgtw.org/?pid=1002259

Implementing and Integrating Product Data Management and Software Configuration Management

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Publisher : Artech House
ISBN 13 : 9781580536851
Total Pages : 374 pages
Book Rating : 4.5/5 (368 download)

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Book Synopsis Implementing and Integrating Product Data Management and Software Configuration Management by : Ivica Crnkovic

Download or read book Implementing and Integrating Product Data Management and Software Configuration Management written by Ivica Crnkovic and published by Artech House. This book was released on 2003 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because today's products rely on tightly integrated hardware and software components, system and software engineers, and project and product managers need to have an understanding of both product data management (PDM) and software configuration management (SCM). This groundbreaking book offers you that essential knowledge, pointing out the similarities and differences of these two processes, and showing you how they can be combined to ensure effective and efficient product and system development, production and maintenance.

A Relational-Based Data Management System for Engineering and Scientific Application

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Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis A Relational-Based Data Management System for Engineering and Scientific Application by : Maurice M Hallum (III.)

Download or read book A Relational-Based Data Management System for Engineering and Scientific Application written by Maurice M Hallum (III.) and published by . This book was released on 1980 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The description and development of a user friendly Data Management System based on the relational data model is presented. The system is a self-contained Data Management System programmed in FORTRAN for the Interdata 8/32. A file system, inquiry language, and a demonstration of the operational system is also presented. The system is intended for use in a scientific and engineering environment designed for the casual user. Background data and a general discussion of data models are also included. (Author).

Big Data Management

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Publisher : Springer
ISBN 13 : 3319454986
Total Pages : 274 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Big Data Management by : Fausto Pedro García Márquez

Download or read book Big Data Management written by Fausto Pedro García Márquez and published by Springer. This book was released on 2016-11-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

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Publisher : IGI Global
ISBN 13 : 1799830543
Total Pages : 583 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by : Patil, Bhushan

Download or read book Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics written by Patil, Bhushan and published by IGI Global. This book was released on 2020-10-23 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Data-Driven Engineering Design

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Publisher : Springer Nature
ISBN 13 : 3030881814
Total Pages : 203 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data-Driven Engineering Design by : Ang Liu

Download or read book Data-Driven Engineering Design written by Ang Liu and published by Springer Nature. This book was released on 2021-10-09 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Principles of Database Management

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Publisher : Cambridge University Press
ISBN 13 : 1107186129
Total Pages : 817 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Principles of Database Management by : Wilfried Lemahieu

Download or read book Principles of Database Management written by Wilfried Lemahieu and published by Cambridge University Press. This book was released on 2018-07-12 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Statistical and Scientific Database Management

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540505754
Total Pages : 468 pages
Book Rating : 4.5/5 (57 download)

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Book Synopsis Statistical and Scientific Database Management by : Maurizio Rafanelli

Download or read book Statistical and Scientific Database Management written by Maurizio Rafanelli and published by Springer Science & Business Media. This book was released on 1989-02-08 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth International Working Conference on Statistical and Scientific Data Base Management (IV SSDBM) held on June 21-23, 1988 in Rome, Italy, continued the series of conferences initiated in California in December 1981. The purpose of this conference was to bring together database researchers, users and system builders, working in this specific field, to discuss the particular points of interest, to propose new solutions to the problems of the domain and to expand the topics of the previous conferences, both from the theoretical and from the applicational point of view. The papers of four scientific sessions dealt with the following topics: knowledge base and expert system, data model, natural language processing, query language, time performance, user interface, heterogeneous data classification, storage constraints, automatic drawing, ranges and trackers, and arithmetic coding. Two other special sessions presented work on progress papers on geographical data modelling, spatial database queries, user interface in an Object Oriented SDB, interpretation of queries, graphical query language and knowledge browsing front ends. The conference also had three invited papers on topics of particular interest such as "Temporal Data", "Statistical Data Management Requirements" and "Knowledge Based Decision Support Systems", included in this volume. The introductory paper by M. Rafanelli provides both an introduction to the general concepts helpful to people outside the field and a survey of all the papers in these Proceedings. Furthermore, there were three open panels. Papers by the chairmen, contributions of the panelists and a summary of the respective discussions are included in this volume, too.