NextGen Multi-Model Databases in Semantic Big Data Architectures

When semantic big data is managed in commercial settings, with time, the need may arise to integrate and interlink records from various data sources. In this vision paper, we discuss the potential of a new generation of multi-model database systems as data backends in such settings. Discussing a specific example scenario, we show how this family of database systems allows for agile and flexible schema management. We also identify open research challenges in generating sound triple-views from data stored in interlinked models, as a basis for SPARQL querying. We then conclude with a general overview of multi-model data management systems, to provide a wider scope of the problem domain

Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science

Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science

Research and innovation in smart mobility and services in Europe: An assessment based on the Transport Research and Innovation Monitoring and Information System (TRIMIS)

For smart mobility to be cost-efficient and ready for future needs, adequate research and innovation (R&I) in this field is necessary. This report provides a comprehensive analysis of R&I in smart mobility and services in Europe. The assessment follows the methodology developed by the European Commission’s Transport Research and Innovation Monitoring and Information System (TRIMIS). The report critically assesses research by thematic area and technologies, highlighting recent developments and future needs.JRC.C.4-Sustainable Transpor

Global Biodiversity Informatics Outlook: Delivering biodiversity knowledge in the information age

The Global Biodiversity Informatics Outlook helps to focus effort and investment towards better understanding of life on Earth and our impacts upon it. It proposes a framework that will help harness the immense power of information technology and an open data culture, to gather unprecedented evidence about biodiversity and to inform better decisions. This document is accompanied by a website, www.biodiversityinformatics.org, that will report progress towards each part of the framework and provide a forum for ideas, projects and funding sources supporting the goals of the Outlook

Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

This is the final version. Available on open access from Springer via the DOI in this recordThis open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.Alan Turing InstituteEuropean Research Council (ERC

State-It: Connecting Students to the Archives

The University Archives Department at Indiana State University (ISU) assists faculty, students, and the public by providing access to and preservation of primary resources and ISU history. Despite the resources and services available, archival holdings are often underused and receive few donations from students and student organizations. These students are often unaware of the function and uses of the archives. To address these concerns, Special Collections staff have created a website utilizing the Omeka platform called STATE-IT to engage students with the University Archives. This site houses digital archival materials, digital exhibits, and oral histories. STATE-IT also provides a quick and easy access point for students to contribute images, documents, and other historical items. This paper focuses on how creating an interactive component increases students’ motivation to contribute to and use the University Archives, providing a look into the past and highlighting their current experiences and perspectives as ISU students

Innovation-Driven Enterprise Architecture

Organizations don't use Enterprise Architecture (EA) to leverage innovation as much as they should. And this while the organization's ability to innovate is an essential capability in a competitive market. IT can enable business innovation and EA is rooted in IT. Therefore, IT is considered the common denominator between EA and business innovation. This exploratory research provides new insight to bridge a knowledge gap on how EA can enhance an organization‘s ability in IT-enabled business innovation. It reveals that organizational learning is critical to the innovative capabilities of organizations. With this in mind, the most important capability domains have been determined: Knowledge, Collaboration & communication, Information processing & coordination, and Ideation. To facilitate these capabilities, several technological and organizational assets are identified: Key stakeholders, Collaborative organizational culture, Web technologies, Knowledge management systems, and Data Analytics. We developed a conceptual model which positions the capability domains and key assets. This model has been validated through a case study, conducted within a global manufacturing company. Conclusion is that EA is a viable approach to systematically address and facilitate IT-enabled business innovation. By focusing on the capabilities and facilitating these through organizational and technical assets, organizations can enhance their ability in IT-enabled business innovation

Millennial Perceptions of Leadership as an Influential Factor in Nursing Retention: A Phenomenological Study

For years, stakeholders in nursing have anticipated the retirement of the baby-boomer nursing workforce while heralding it as a major factor in a persistent global nursing shortage (American Association of Colleges of Nursing [AACN], 2017). Nursing shortages, known to have a negative impact on patient safety and outcomes, call for strategies to alleviate, if not resolve, issues of retention (Aiken et al., 2017). Authentic leadership, an identified retention factor among professional nurses and associated with improved patient outcomes, has the potential to provide the theoretical support needed to better inform millennial nursing leadership training and development. This phenomenological study explored the perceptions and experiences of leadership among millennial nursing students in their final baccalaureate semester prior to graduation. After a detailed description of the perceptions and experiences of leadership among the selected sample of millennial novice nurses was discovered, associations with Authentic Leadership Theory were sought. The significant findings of this study include themes and their associated sub-themes among the millennial perspectives focused on relational aspects of leadership, role expectations of nurse leaders held by millennial nursing students, and the primary needs of the novice nurse as a team member. These perspectives were then compared to the constructs of ALT. The findings from this study have the potential to inform the development of leadership education and training materials that resonate with the needs of millennial nursing students and novice nurses and support retention strategies for the future