104 10 3873 http://www.oer.unair.ac.id/files/original/2b7e538bd2f3e392a135f5387d7f8bf2.jpg a8022ac7b87770bf64270b7d75cfd100 http://www.oer.unair.ac.id/files/original/844c1b5243362beb35cebeab431fcc60.pdf 290db6cc2b7a0e279572ab03f224e59b Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Protection without Data Protectionism: The Right to Protection of Personal Data and Data Transfers in EU Law and International Trade Law Subject The topic of the resource INTERNATIONAL LAW Description An account of the resource This open access book offers a new account on the legal conflict between privacy and trade in the digital sphere. It develops a fundamental rights theory with a new right to continuous protection of personal data and explores the room for the application of this new right in trade law. Replicable legal analysis and practical solutions show the way to deal with cross-border data flows without violating fundamental rights and trade law principles. The interplay of privacy and trade became a topic of worldwide attention in the wake of Edward Snowden’s revelations concerning US mass surveillance. Based on claims brought forward by the activist Maximilian Schrems, the ECJ passed down two high-profile rulings restricting EU-US data flows. Personal data is relevant for a wide range of services that are supplied across borders and restrictions on data flows therefore have an impact on the trade with such services. After the two rulings by the ECJ, it is less clear then ever how privacy protection and trade can be brought together on an international scale. Although it was widely understood that the legal dispute over EU-US data flows concerns the broad application of EU data protection law, it has never been fully explored just how far the EU’s requirements for the protection of digital rights go and what this means beyond EU-US data flows. This book shows how the international effects of EU data protection law are rooted in the EU Charter of Fundamental Rights and that the architecture of EU law demands that the Charter as primary EU law takes precedence over international law. The book sets out to solve the problem of how the EU legal data transfer regime must be designed to implement the EU’s extraterritorial fundamental rights requirements without violating the principles of the WTO’s law on services. It also addresses current developments in international trade law – the conclusion of comprehensive trade agreements – and offers suggestion for the design of data flow clauses that accommodate privacy and trade. Creator An entity primarily responsible for making the resource Naef, Tobias Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/96229 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2023 Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Relation A related resource Swiss National Science Foundation (SNF) Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-031-19893-9 international law Law http://www.oer.unair.ac.id/files/original/765419eccc58ea4fdb5092222fb2c883.jpg 335a3d230cc43eacef4c66a5a26f6883 http://www.oer.unair.ac.id/files/original/15df4454a88fffb9cd023b017f23df51.pdf 84da4e8300ffe747ccdc973503fb00fb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Rights Law 1.0 Subject The topic of the resource computer Description An account of the resource Sejak kemunculannya, big data telah membawa kita pada bentuk-bentuk energi, teknologi, dan cara-cara pengorganisasian baru yang akan menghasilkan nilai-nilai yang lebih besar melalui persilangan, integrasi, keterbukaan, dan pembagian data. Meskipun demikian, risiko-risiko yang disebabkan oleh akses terbuka dan aliran data juga membawa kita pada tantangan-tantangan besar terhadap privasi, rahasia-rahasia bisnis, serta jaminan sosial dan nasional. Hal ini meningkatkan kesadaran masyarakat terhadap pembagian data, perlindungan privasi, dan keadilan sosial, serta menjadi masalah tata kelola yang signifikan di dunia. Untuk memecahkan masalah-masalah ini, Undang-Undang Hak Data 1.0 bersifat inovatif karena mengusulkan konsep baru tentang «orang data». Undang-undang ini mendefinisikan «hak-hak data» sebagai hak-hak yang berasal dari «orang data» dan «sistem hak-hak data» sebagai tatanan yang didasarkan pada «hak-hak data». «Undang-undang hak data» adalah norma hukum yang terbentuk dari «sistem hak-hak data». Dengan cara ini, buku ini membangun kerangka hukum «hak-hak data-sistem hak-hak data-undang-undang hak-hak data». Apabila data dianggap sebagai hak asasi yang menjadi dasar dibangunnya tatanan dan hukum baru, maka hal itu akan membawa makna baru dan mendalam bagi kehidupan manusia di masa mendatang. Creator An entity primarily responsible for making the resource Lian, Yuming (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/36164 Publisher An entity responsible for making the resource available Peter Lang Date A point or period of time associated with an event in the lifecycle of the resource 2019 Contributor An entity responsible for making contributions to the resource dEWI Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0 Relation A related resource https://directory.doabooks.org/handle/20.500.12854/36164 Format The file format, physical medium, or dimensions of the resource pDF Language A language of the resource Bahasa inggris Type The nature or genre of the resource TEXTBOOKS Identifier An unambiguous reference to the resource within a given context DOI 10.3726/b15737 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Berlin http://www.oer.unair.ac.id/files/original/28b1c0e10c7209d80221b949d87f341b.jpg 335a3d230cc43eacef4c66a5a26f6883 http://www.oer.unair.ac.id/files/original/14eca6c2c2451c6fc6309e1a52bce2e1.pdf f61bc704d644f9f7ca1af53421aef5fd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 340 Law Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Rights Law 1.0 The Theoretical Basis Subject The topic of the resource Data protection Copyright Description An account of the resource Since its emergence, big data has brought us new forms of energy, technology and means of organization which will generate greater values by crossover, integration, openness and sharing of data. Nevertheless, risks caused by open access and the flow of data also bring us enormous challenges to privacy, business secrets and social and national securities. This raises people’s awareness on data sharing, privacy protection and social justice, and becomes a significant governance problem in the world. In order to solve these problems, Data Rights Law 1.0 is innovative in that it proposes a new concept of the «data person». It defines «data rights» as the rights derived from the «data person» and «data rights system» as the order based on «data rights». «Data rights law» is the legal normative formed out of the «data rights system». In this way, the book constructs a legal framework of «data rights-data rights system-data rights law». If data is considered as basic rights, on which new order and laws are to be built, it will bring brand new and profound meaning to future human life. Creator An entity primarily responsible for making the resource Lian, Yuming (editor) Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/42344 Publisher An entity responsible for making the resource available Peter Lang International Academic Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2019 Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.3726/b15737 copyrights data protection http://www.oer.unair.ac.id/files/original/1171e1f265f2886c56723a1ccda5b665.jpg be72b5b07b1ef30b231a89a43918527e http://www.oer.unair.ac.id/files/original/57cc5f796098dc9c7f11c301ff2f8986.pdf ba1018a0a8e2df017e62d3ce27d4146e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 340 Law Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Rights Law 3.0 The Legislative Prospect Subject The topic of the resource DATA-TEXT (Computer program language) Description An account of the resource With a global view and a vision of our digital future, we should move forward with an understanding of data rights legislation at pace. The earlier we set the value norms around data in this digital long distance race, the more likely we will grasp the opportunities therein and embrace a future of commonly understood values. With a view to the future, the branch of Chinese law that is most likely to lead the world is that related to the digital economy. At the same time, if China wants to be amongst the world’s leading digital economies, the basics to be understood and promoted most are higher quality, fairer and more sustainable institutional protection for data rights and subject-relevant interests, and the ability to offer systematic and accurate legal rules within the various digital disciplines. Creator An entity primarily responsible for making the resource Lian, Yuming (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/72717 Publisher An entity responsible for making the resource available Peter Lang International Academic Publishing Group Date A point or period of time associated with an event in the lifecycle of the resource 2021 Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Identifier An unambiguous reference to the resource within a given context 10.3726/b18421 law and society http://www.oer.unair.ac.id/files/original/03b42d59cf3788d6e50a8e1dbbd25094.jpg 376789edaec2d1f92fe21362797d4441 http://www.oer.unair.ac.id/files/original/8d2640f975e3c68a27e734f2eec2988a.pdf d53a707c5a4f2906af9cb25dbc5a5484 http://www.oer.unair.ac.id/files/original/7988dcf9baa8d65d985950d8f031d751.pdf ac9c95b19fac7345073339e312829703 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Science for Wind Energy Description An account of the resource Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/87420 Publisher An entity responsible for making the resource available Taylor & Francis https://taylorandfrancis.com/ Date A point or period of time associated with an event in the lifecycle of the resource 2020 Contributor An entity responsible for making contributions to the resource Upload by Nurma Harumiaty Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.1201/9780429490972 ISBN 9781138590526, 9780429956492, 9780429956508, 9780367729097, 9780429490972, 9780429956515 Subject The topic of the resource Artificial intelligence Databases Environmental science, engineering & technology Alternative & renewable energy sources & technology Probability & statistics Creator An entity primarily responsible for making the resource Ding, Yu http://www.oer.unair.ac.id/files/original/e1362de9b3ff176b07d3b8fd898b4f8f.jpg 243d66681ca0032463a5e767f37af20e http://www.oer.unair.ac.id/files/original/527e981f7bd5764331c3a121b5740b89.pdf ea0def46434ef390e3a2686e99156020 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 610 Medicine and health Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Science in Healthcare Subject The topic of the resource Healthcare Description An account of the resource Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management. Creator An entity primarily responsible for making the resource Tim Hulsen (Ed) Source A related resource from which the described resource is derived mdpi.com/books/pdfview/book/5469 Publisher An entity responsible for making the resource available MDPI AG St. Alban-Anlage 66 4052 Basel, Switzerland Tel: +41 61 683 77 34 www.mdpi.com/books books@mdpi.com Date A point or period of time associated with an event in the lifecycle of the resource May 2022 Contributor An entity responsible for making contributions to the resource J®F Rights Information about rights held in and over the resource CC BY-NC-ND Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 978-3-0365-3983-6 (Hbk) ISBN 978-3-0365-3984-3 (PDF) http://www.oer.unair.ac.id/files/original/3aaeb2154cdef5a8d73f01747eb9cdb6.jpg 879111c2e20c000bd93c3bc6be315e60 http://www.oer.unair.ac.id/files/original/995306a4d853a29886e299f3d51cf560.pdf 7f0253a39b0f3357e1164f04ff989131 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 650 Management and public relations Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Spaces Design, Deployment and Future Directions Subject The topic of the resource DATA-TEXT (Computer program language) Description An account of the resource This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical. Creator An entity primarily responsible for making the resource Curry, Edward (editor) Scerri, Simon (editor) Tuikka, Tuomo (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/92450 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2022 Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Text Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-030-98636-0 http://www.oer.unair.ac.id/files/original/72fc4fee36aa616bd6e9a8392edd9cd1.jpg e4dc3a3d17658f05e10e4c32594ed5c4 http://www.oer.unair.ac.id/files/original/fffa0649ca40af95d9e4a54730da7cea.pdf 96d859319af37d75741c466fb8d19d9f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 600 Technology Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Spaces Design, Deployment and Future Directions. Subject The topic of the resource data science technology Creator An entity primarily responsible for making the resource Curry, Edward (editor) Scerri, Simon (editor) Tuikka, Tuomo (editor) Source A related resource from which the described resource is derived Cham Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2022 Contributor An entity responsible for making contributions to the resource dwi marina Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.1007/978-3-030-98636-0 ISBN 9783030986360 Science Technology http://www.oer.unair.ac.id/files/original/4e4c84a116c093ab0e31094a3fa56285.jpg f515f414140c97b3c8fb47c6eb4627f8 http://www.oer.unair.ac.id/files/original/c6865b14d6239babeb2b2d49fb3a14ab.pdf 95b4b7517e9973d2556ac1322877f759 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Visualization in Society Subject The topic of the resource Media studies; information; visualization; data analysis Description An account of the resource Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives. Creator An entity primarily responsible for making the resource Engebretsen, Martin Kennedy, Helen Source A related resource from which the described resource is derived http://library.oapen.org/handle/20.500.12657/22273 Publisher An entity responsible for making the resource available Amsterdam University Press Date A point or period of time associated with an event in the lifecycle of the resource 2020 Contributor An entity responsible for making contributions to the resource upload by novit Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.5117/9789463722902 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Data analysis: general Media studies Information visualization data analysis Information visualization Media studies OER Perppustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/d0382f8b9fb42fc3a5e61e29747c1a47.jpg 6e48e17476814e485c628f8d003eeee2 http://www.oer.unair.ac.id/files/original/001e7244379e4578086cd9a638586f0d.pdf 0823b1c7619cdabc048c3e15a0dca3e0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data-Driven Policy Impact Evaluation: How Access to Microdata is Transforming Policy Design Subject The topic of the resource Econometrics Description An account of the resource In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation. ; Open Access Demonstrates the potential of data-based policy evaluation Introduces counterfactual impact evaluation methods Includes case studies on policy areas such as public health, education and employment Creator An entity primarily responsible for making the resource Crato, Nuno (editor) Paruolo, Paolo (editor) Source A related resource from which the described resource is derived http://library.oapen.org/handle/20.500.12657/22997 Publisher An entity responsible for making the resource available Publisher: Springer Nature Publisher website: https://www.springernature.com/gp/products/books Date A point or period of time associated with an event in the lifecycle of the resource 2019 Contributor An entity responsible for making contributions to the resource Tatik Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textsbooks Identifier An unambiguous reference to the resource within a given context DOI: 10.1007/978-3-319-78461-8 Econometrics OER OER Perppustakaan Universitas Airlangga Perpustakaan Unair Political Science Public finance Public Policy Statistics ;