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Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.
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Open Access and the Future of Scholarly Communication : Policy and Infrastructure
It is impossible to imagine the future of academic libraries without an extensive consideration of open access—the removal of price and permission barriers from scholarly research online. As textbook and journal subscription prices continue to rise, improvements in technology make online dissemination of scholarship less expensive, and faculty recognize the practical and philosophical appeal of making their work available to wider audiences.As a consequences, libraries have begun to consider a wide variety of open access “flavors” and business models. These new possibilities have significant impact on both library services and collection policies, and the call for new skills within library staffing.Volume 9 of the series Creating the 21st-Century Academic Library is the first of two addressing the topic of open access in academic libraries and focuses on policy and infrastructure for libraries that wish to provide leadership on their campus in the transition to more open forms of scholarship. Chapters in the book discuss how to make the case for open access on campus, as well as the political and policy implications of libraries that themselves want to become publishing entities.Infrastructure issues are also addressed including metadata standards and research management services.Also considered here is how interlibrary loan, preservation and the library’s role in providing textbooks, support the concept of open access. It is hoped that this volume, and the series in general, will be a valuable and exciting addition to the discussions and planning surrounding the future directions, services, and careers in the 21st-century academic library.
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The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society.It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data.The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
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Research Software Engineering : A Guide to the Open Source Ecosystem
Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics.The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts.The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel.Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component.This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Featuresoverview: breakdown of complex data science software stacks into core componentsapplied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source softwarereader guidance: different entry points and rich references to deepen the understanding of selected aspects
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Is Dewiki a scholarly source for the seminar paper?
No, Dewiki is not a scholarly source for the seminar paper. Dewiki is the German-language version of Wikipedia, which is a collaborative online encyclopedia that can be edited by anyone. While Wikipedia can be a useful starting point for research, it is not considered a scholarly source because the information is not always verified or written by experts in the field. It is important to use scholarly sources such as academic journals, books, and reputable websites for a seminar paper to ensure the accuracy and reliability of the information.
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Does market research hinder innovation in business administration?
Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.
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What is the best solution for a data repository?
The best solution for a data repository depends on the specific needs and requirements of the organization. However, a cloud-based data repository offers many advantages, including scalability, accessibility, and cost-effectiveness. Cloud-based solutions also provide built-in security measures and the ability to easily integrate with other cloud services. Additionally, using a managed data repository service can offload the burden of maintenance and management, allowing the organization to focus on utilizing the data for their business needs.
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Is the data repository updated monthly or one-time?
The data repository is updated monthly.
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Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings.With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data.This intermediate-level book teaches the general computational and data skills you need to analyze biological data.If you have experience with a scripting language like Python, you're ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles
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The No-nonsense Guide to Research Support and Scholarly Communication
This accessible and highly practical book provides an introductory guide to the world of research support in the academic library. Academic libraries have seen huge changes in recent years thanks to the increasing availability of information online but they are now undergoing another shift.As libraries move away from providing access to existing information and towards helping users create new knowledge there is an opportunity for them to develop new services for the research community.To do this successfully libraries need to have a knowledgeable workforce who are equipped to provide the support that researchers need.Information professionals are increasingly being asked to advise their users on issues such as open access and research data management but are often doing so with little or no formal preparation. Outlining the reasons why library staff need to develop a knowledge of research support and guiding them through the key information on each topic, The No-nonsense Guide to Research Support and Scholarly Communication provides an ideal primer for those who seek to work in this area or those who have acquired these responsibilities as part of a wider role.The practical nature of the book means readers can dip into it or read it from cover to cover as needed.It includes practical checklists of knowledge and skills, international case studies by practitioners from around the globe, end of chapter references, how-to sections, activities and links to freely available online training materials. The book covers:scholarly communication, open research and the research lifecycleresearch data managementopen accessdisseminating researchmetrics and measuring impact including the Journal Impact Factor, H-Index and Altmetricscareer paths in research supportwhy and how library staff at all levels can get involved in the process of doing research and sharing their outputs.The book will be essential reading for academic librarians who have had research support duties added to their role with little or no formal training or those who have taken on a newly created role and are unsure of how best to use their existing skills or develop new ones suitable for a role in research support.The book will also be of interest to public librarians who may be dealing with supporting their own research communities and those who are considering taking on a career in this growing area but are unsure where to turn for guidance including students studying for postgraduate library qualifications and those who have undertaken qualifications in publishing.
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The Scholarly Communication Handbook : From Research Dissemination to Societal Impact
Where is the best place to publish academic research now?Scholarly communication covers a broad range of topics and issues, and advances in online platforms and tools for research support have led to unprecedented changes in publishing options, research assessments and research policies.As a result, researchers are facing a transformed scholarly communication landscape, making research dissemination and societal impact a complex topic. Guided by the question, ‘Where to publish?’, The Scholarly Communication Handbook explores publication types, open access and licensing options, as well as appropriate uses of research metrics and the benefits and setbacks of peer review.It answers questions such as:what are the key considerations for exploring new publication venues and experimenting with new forms of publishing?why are research metrics and open research important topics in scholarly communication?how can scholarly communication librarians and researchers prepare for future changes in scholarly publishing?The book will provide a comprehensive overview of the knowledge required for understanding and navigating the scholarly communication landscape.Critical issues about research integrity, bibliodiversity and sustainability are also addressed to provoke discussions and debates about the future of scholarly publishing and communication.Readers will be empowered not just to make informed decisions about where they publish, but also understand policy changes and advocacy work in relation to research and publication processes. This will be an ideal book for researchers, students alike who aspiring to or currently working in academic libraries and the teams who support them.
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Innovation and Collaboration in the Digital Era : The Role of Emotional Intelligence for Innovation Leadership and Collaborative Innovation
Innovation and Collaboration in the Digital Era provides a holistic approach to collaborative innovation, innovation management and innovation leadership.It is full of practical advice and includes 34 interviews with high-level politicians, innovation industry leaders, academics and entrepreneurs discussing the reality of innovation and how to create change for a positive impact.Many quotes are included from researchers and practitioners in the innovation field who have participated as guests in the author’s podcast “Business of Collaboration” or in interviews with the Collabwith Magazine which she produces. This is a powerful book full of practical frameworks and one-page canvases which act as reminders of the value of making needs and expectations explicit.The author provides frameworks and tools that can be used to support collaboration journeys across different sectors and organizations.She also offers clarity to the reader for their innovation journey and brings a new perspective on how to innovate and understand innovation. Jara Pascual focuses on the importance of managing emotions and feelings of frustration which can be very common during a collaborative innovation process.She explores the interaction between Emotional Intelligence and business and shows how to remove and manage frustration and how to produce a positive outcome. Innovation and Collaboration in the Digital Era will empower the reader to take action and show how to change your conversation about innovation and collaboration. “Jara Pascual, with colleague Celia Avila-Rauch, has been able to distill and apply the ability model of emotional intelligence to the art and science of innovation and innovation leadership.In our work we note that feelings are not always facts but that emotions as a form of data.More than that, emotions can assist or facilitate with decision making, creativity and innovation rather than getting in the way, but only if leaders are “smart” about emotions and develop and deploy their emotional intelligence skills.” Dr David R Caruso, Emotional Intelligence Skills Group, Founder Yale Center for Emotional Intelligence, Research Affiliate
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What is the difference between the Data Dictionary and the Repository?
The Data Dictionary is a centralized repository of information about data such as data definitions, data relationships, data usage, and data constraints. It provides a comprehensive view of the data within an organization. On the other hand, the Repository is a broader term that refers to a centralized location for storing and managing various types of data, including data models, metadata, code, and other artifacts related to software development. While the Data Dictionary focuses specifically on data-related information, the Repository encompasses a wider range of information and artifacts related to software development and data management.
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Is this a scholarly source that I can use for a university assignment?
To determine if this source is scholarly and suitable for a university assignment, you should consider the author's credentials, the publication or journal in which it appears, and the content of the source itself. Look for information about the author's expertise and qualifications in the field, and check if the publication is peer-reviewed or from a reputable academic source. Additionally, assess the content for evidence of research, citations, and a formal, academic tone. If the source meets these criteria, it is likely to be suitable for a university assignment.
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Is it generally known that one cannot cite Wikipedia as a scholarly source?
Yes, it is generally known that one cannot cite Wikipedia as a scholarly source. While Wikipedia can be a useful starting point for research and provide a general overview of a topic, it is not considered a reliable or authoritative source for academic work. This is because Wikipedia can be edited by anyone, and its content may not always be accurate or well-researched. Instead, scholars are encouraged to use peer-reviewed sources, such as academic journals and books, for their research and citations.
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Can the source file or source data carrier not be read?
Yes, the source file or source data carrier can become unreadable due to various reasons such as physical damage, corruption, or malfunction. Physical damage to the storage device, such as a hard drive or USB drive, can render the data unreadable. Additionally, corruption of the file system or data can also result in the source file or data carrier not being able to be read. Malfunction of the device or software used to access the data can also lead to the inability to read the source file or data carrier.
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