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  • 1
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.
    Keywords: Big Data ; Data Management ; Data Processing ; Data Analytics ; Data Visualisation and User Interaction ; Knowledge Discovery ; Information Retrieval ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
    Language: English
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  • 2
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: This paper provides an overview of the range of techniques available for integration of heterogeneous data. These range from the wrapper-mediator architecture for integration of structured and semistructured databases: semantic mediation, which involves mapping schema elements and data values to ontologies: to ad hoc, vertical data integration where the user is in the loop of the integration. Every integration technique requires an expert in the loop—at different points in time and at different places in the system, depending on the integration technique employed. Future directions include provision of provenance and social networking information corresponding to the integrated data result.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 1-6
    Keywords: Other ; None ; Data Integration ; Data Management ; Heterogeneous ; Data Portal
    Type: Text , Book Section
    Format: 624 Kilobytes
    Format: 6 Pages
    Format: PDF
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  • 3
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: From 29th - 30th of October, 2009, the 'Data Management Workshop' was held at the University of Cologne, Germany. This workshop was actively supported by two research projects. The CRC/TR32 'Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling, and Data Assimilation' as well as the CRC 806 'Our way to Europe: Culture-Environment Interaction and Human Mobility in the Later Quaternary', both Collaborative Research Centres of the German Research Foundation (DFG). In addition the workshop was co-organized by the Working Group 5 'Methods for Change Detection and Process Modelling' within the Commission VII 'Thematic Processing, Modelling and Analysis or Remotely Sensed Data' of the International Society for Photogrammetry and Remote Sensing (ISPRS). Since many different scientific communities are facing similar problems in data handling, the aim of the workshop was to bring together a variety of scientific disciplines, which are sometimes recognised as being quite incompatible with one other (e.g. computer sciences, social sciences, geography, physics, pre-history, geoinformatics, archaeology, geosciences, meteorology, and biology). Moreover, the goal was to take into account the perspective of the funding bodies, in our case the DFG. The workshop was based on 11 invited talks and unusual long coffee breaks, parallel to poster sessions to encourage and support discussion. The diverse program attracted nearly 30 poster presentations and approximately 80 participants. The papers and abstracts of the workshop are summarized in the workshop proceedings.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. III-IV
    Keywords: Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 142 Kilobytes
    Format: 2 Pages
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  • 4
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The 2nd Data Management Workshop was held at the University of Cologne in November 2014. It was organized within the research data management activities of two large interdisciplinary research projects both funded by the German Research Foundation (DFG). Both projects actively supported the workshop. The Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation’ involves scientist from the fields of meteorology, hydrology, geography, geophysics, soil sciences and mathematics. The CRC806 ‘Our Way to Europe: Culture-Environment Interaction and Human Mobility in the Late Quaternary’ integrates scientists from the disciplines of prehistoric archaeology, geology, geography, geophysics and soil sciences. Organizing research data management of such diverse disciplines which are distributed over several universities and research centers faces several problems and challenges. Consequently, the main focus of the 2nd Data Management Workshop was to discuss solutions and approaches for interdisciplinary and disciplinary data management with other colleagues and experts of the field. The publication of the Special Issue on ‘Research Data Management’ of the ISPRS International Journal of Geo-Information (ISSN 2220-9964) emerged in the context of this workshop.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. III-IV
    Keywords: Data Management ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 2 Pages
    Format: 181 Kilobytes
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  • 5
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The federal state of Baden-Württemberg wants to offer scientists the best conditions for research. Against the backdrop of the ever-increasing importance of data and information the bwFDM-Communities project is tasked to develop recommendations that shall enable scientists in our federal state to process and use data without barriers. In order to achieve this objective, we engage an active dialogue with all university research groups in Baden-Württemberg (~3000). Next to identifying and advertising best-practice solutions, this project is supposed to gather information on how federal IT support needs to be expanded in order to meet the increasing demands of future research. As this is an ongoing project there may be further results in time, but some early conclusions can be drawn: Scientists want clear-cut requirements and responsibilities for data management and are willing to share their data if there is a proper appreciation model for data publication. Additionally, a lot of scientists complain about too strict law regulations regarding copyright and need better information about available RDM support, partners and opportunities. Final conclusions and recommendations can only be given in the further course of the project, but we are confident that our final recommendations will help the scientists in Baden-Württemberg.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 1-6
    Keywords: Data Management ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 6 Pages
    Format: 1144 Kilobytes
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  • 6
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: This paper introduces the CRC/TR32 database (TR32DB), a research data management system developed within the multidisciplinary research project Collaborative Research Centre/Transregio 32 (CRC/TR32) funded by the German Research Foundation (DFG). The aim of the TR32DB is to support collative research within the whole project by providing data storage, backup, archive, documentation, publication and also sharing services. The entire system is self-developed according to the requirements of the funding agency, the user and project demands, as well as according to recent principles and standards. The TR32DB system architecture is basically a combination of data storage (file management), database and web-interface. In addition, the TR32DB Metadata Schema was designed and implemented to describe all project data with accurate metadata. A user-friendly multi-level approach was chosen to cover the requirements of all data stored in the TR32DB with appropriate metadata.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 7-15
    Keywords: Data Management ; Metadata ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 9 Pages
    Format: 1802 Kilobytes
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  • 7
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The 2007 British Atmospheric Data Centre (BADC) Users Survey examined the skill base of the BADCs user community. Results indicated a large proportion of users who were familiar with data held in ASCII formats such as comma-separated variables (csv) and there was a high degree of familiarity with spreadsheet programmes (e.g. Excel) for data analysis purposes. These result, combined with the experiences of the BADC staff dealing with user enquiries and assisting data suppliers in preparing data for submission, and the metadata requirements of the BADC, highlighted the need for a new ASCII format to be generated. The BADC-CSV format adheres to metadata conventions covered by the NASAAmes and NetCDF formats, the CF, and Dublin Core metadata conventions, the ISO19115 standard and the metadata requirements of the BADC and its sister data centres within the Natural Environment Research Council (NERC). The format meets end user and data supplier requirements by being a native format for spreadsheet software as well as other commonly used data production and analysis tools (e.g. IDL, MatLab). This paper presents the requirements for the format resulting from the 2007 user survey and data centre requirements, describes the structure of the format and demonstrates the format through short examples. Finally, ongoing work to further develop the format is discussed.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 107-111
    Keywords: Metadata ; Metadata standard ; ASCII ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1062 Kilobytes
    Format: 5 Pages
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  • 8
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-14
    Description: Abstract
    Description: At the KlimaCampus (http://www.klimacampus.de), Cluster of Excellence at the University of Hamburg, an Integrated Climate Data Center (ICDC: http://www.icdc.zmaw.de) is established, suitable for data during the scientific project phase as well as storing long-term archive data. ICDC aims to make data out of different internal and external archives easily accessible for the daily work of the KlimaCampus scientists. It extends the existing services by the announcement of data during the scientific project phase, a data portal and collaboration services. Therein, ICDC utilizes the available infrastructure at the WDC Climate by using it for metadata storage and as a long-term archive. The concept of ICDC, its functionality, its implementation status, and future perspectives are presented.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 127-135
    Keywords: Earth System Science ; Climate Research ; Data Portal ; Metadata ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1841 Kilobytes
    Format: 9 Pages
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  • 9
    Publication Date: 2022-01-14
    Description: Abstract
    Description: The multidisciplinary research unit 'Biodiversity and Sustainable Management of a Megadiverse Mountain Ecosystem in South Ecuador' established a central data management system to provide the members with all gathered scientific data. Additionally, to the database functionality of the system the web based layout is capable to present general information on the research unit to the public and support accounting and administration of the project. All parts of the system are implemented using open-source or free software. A major task is the allocation of a sophisticated and detailed metadata scheme. The standardized ecological metadata language (EML) is used as the basis for metadata information stored in a relational database. The describing datatypes are highly modular and can be expanded if necessary. Data input and searching is implemented through a dynamic webinterface with easy to use forms. This is important to increase the acceptance of the system by users. Searching the database is possible by strings for keywords, authors, etc. or by geographic locations. Except for gridded data, all single values of the datasets are stored in relational tables and thus, it is possible to extract only parts of a whole dataset during data download. While the system is already operational, modifications and new features are continuously implemented.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 59-64
    Keywords: Metadata ; Ecological Research ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1005 Kilobytes
    Format: 6 Pages
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  • 10
    Publication Date: 2022-01-14
    Description: Abstract
    Description: WDC-RSAT is hosted and operated by the German Remote Sensing Data Center, DFD of the German Aerospace Center (DLR) under the nongovernmental auspices of the International Council for Science (ICSU) and is the most recent data center in the WMO-WDC family, in cooperation with the World Meteorological Organization (WMO). WDC-RSAT cooperates with partners in establishing and making use of modern information technologies (e.g. Grid) in order to promote networking. It is already being implemented as a data publication agent for data related to remote sensing of the atmosphere and is thus authorized to assign so-called Digital Object Identifiers (DOI) to data sets. The German ICSU WDCs (WDC-Climate, WDC-Mare, WDC-Terra, and WDC-RSAT) have formed in 2004 the 'WDC-Cluster on Earth System Research' in order to promote interdisciplinary research related to Earth sciences. Following the recommendations of the Committee of Earth Observation Satellites (CEOS), WDC-RSAT is currently establishing in cooperation with NASA a portal for satellite-based atmospheric composition data (ACC) which ultimately will be integrated in the Global Earth Observation System of Systems (GEOSS).
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 119-125
    Keywords: Data Management ; Metadata ; Remote Sensing ; Atmosphere
    Language: English
    Type: Text , Workshop paper
    Format: 495 Kilobytes
    Format: 7 Pages
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