Interoperability, Trust Based Information Sharing Protocol and Security: Digital Government Key Issues

Improved interoperability between public and private organizations is of key significance to make digital government newest triumphant. Digital Government interoperability, information sharing protocol and security are measured the key issue for achieving a refined stage of digital government. Flawless interoperability is essential to share the information between diverse and merely dispersed organisations in several network environments by using computer based tools. Digital government must ensure security for its information systems, including computers and networks for providing better service to the citizens. Governments around the world are increasingly revolving to information sharing and integration for solving problems in programs and policy areas. Evils of global worry such as syndrome discovery and manage, terror campaign, immigration and border control, prohibited drug trafficking, and more demand information sharing, harmonization and cooperation amid government agencies within a country and across national borders. A number of daunting challenges survive to the progress of an efficient information sharing protocol. A secure and trusted information-sharing protocol is required to enable users to interact and share information easily and perfectly across many diverse networks and databases globally.Comment: 20 page

Secure data sharing and processing in heterogeneous clouds

The extensive cloud adoption among the European Public Sector Players empowered them to own and operate a range of cloud infrastructures. These deployments vary both in the size and capabilities, as well as in the range of employed technologies and processes. The public sector, however, lacks the necessary technology to enable effective, interoperable and secure integration of a multitude of its computing clouds and services. In this work we focus on the federation of private clouds and the approaches that enable secure data sharing and processing among the collaborating infrastructures and services of public entities. We investigate the aspects of access control, data and security policy languages, as well as cryptographic approaches that enable fine-grained security and data processing in semi-trusted environments. We identify the main challenges and frame the future work that serve as an enabler of interoperability among heterogeneous infrastructures and services. Our goal is to enable both security and legal conformance as well as to facilitate transparency, privacy and effectivity of private cloud federations for the public sector needs. © 2015 The Authors

Technical alignment

This essay discusses the importance of the areas of infrastructure and testing to help digital preservation services demonstrate reliability, transparency, and accountability. It encourages practitioners to build a strong culture in which transparency and collaborations between technical frameworks are valued highly. It also argues for devising and applying agreed-upon metrics that will enable the systematic analysis of preservation infrastructure. The essay begins by defining technical infrastructure and testing in the digital preservation context, provides case studies that exemplify both progress and challenges for technical alignment in both areas, and concludes with suggestions for achieving greater degrees of technical alignment going forward

Methodology for enterprise interoperability assessment

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de ComputadoresWith the evolution of modern enterprises and the increasing market competitiveness, the creation of ecosystems with large amounts of data and knowledge generally needing to be exchanged electronically, is arising. However, this enterprise inter and intra-connectivity is suffering from interoperability issues. Not visible when it is effective, the lack of interoperability poses a series of challenging problems to the industrial community, which can reduce the envisaged efficiency and increase costs. Those problems are mostly caused by misinterpretations of data at the systems level, but problems at the organizational and human levels may pose equivalent difficulties. Existing research and technology provides several frameworks to assist the development of collaborative environments and enterprise networks with well-defined methods to facilitate interoperability. Nonetheless, the interoperability process is not guaranteed and is not easily sustainable, changing upon frequent market and requirement variations. For these reasons, there is a need for a testing methodology to assess the capability of enterprises to cooperate at a certain point in time. This dissertation proposes a methodology to assess that capability, with a corresponding framework to evaluate the interoperability process, applying eliminatory tests to assess the structure of the organizations, the conceptual models and their implementation. This work contributes to increase the chances enterprises have of interoperating effectively, and enables the adoption of extraordinary measures to improve their current interoperability situation

BlogForever D3.2: Interoperability Prospects

This report evaluates the interoperability prospects of the BlogForever platform. Therefore, existing interoperability models are reviewed, a Delphi study to identify crucial aspects for the interoperability of web archives and digital libraries is conducted, technical interoperability standards and protocols are reviewed regarding their relevance for BlogForever, a simple approach to consider interoperability in specific usage scenarios is proposed, and a tangible approach to develop a succession plan that would allow a reliable transfer of content from the current digital archive to other digital repositories is presented

Enterprise Information Management: Managing data and information for business advantage

This paper presents an overview of key literature (academic and practitioner) that has informed the Enterprise Information Management (EIM) Critical Capability (CC) of IT-CMF in the digital business context. The paper highlights the key insights that underpin the EIM CC, and presents an up-to-date view of key thinking in this area. The goal of an effective EIM capability is to ensure that quality data and information is available to support the business activities of the organization. It ensures availability of appropriate operational data and information for business transactions, and consistently enables timely and informed decision-making. An effective EIM capability must include strategic integration between business goals and the information and data management strategy to support these. Managing data and information effectively also requires that the IT function supports, rather than drives, an organization’s strategic needs [1]. As a note on terminology, this position paper adopts the view, based on the Data Management Association International’s (DAMA) Body of Knowledge [1] (p.20) that data and information are so closely related that a precise differentiation between their meanings cannot usefully be provided. In terms of how they are managed in organizations, however, it can be useful to make a distinction between them for the purposes of clear communication about the requirements and expectations of different stakeholders e.g. a sales report (information) based on data from the data warehouse (data)

Enterprise Information Management: Managing data and information for business advantage

This paper presents an overview of key literature (academic and practitioner) that has informed the Enterprise Information Management (EIM) Critical Capability (CC) of IT-CMF in the digital business context. The paper highlights the key insights that underpin the EIM CC, and presents an up-to-date view of key thinking in this area. The goal of an effective EIM capability is to ensure that quality data and information is available to support the business activities of the organization. It ensures availability of appropriate operational data and information for business transactions, and consistently enables timely and informed decision-making. An effective EIM capability must include strategic integration between business goals and the information and data management strategy to support these. Managing data and information effectively also requires that the IT function supports, rather than drives, an organization’s strategic needs [1]. As a note on terminology, this position paper adopts the view, based on the Data Management Association International’s (DAMA) Body of Knowledge [1] (p.20) that data and information are so closely related that a precise differentiation between their meanings cannot usefully be provided. In terms of how they are managed in organizations, however, it can be useful to make a distinction between them for the purposes of clear communication about the requirements and expectations of different stakeholders e.g. a sales report (information) based on data from the data warehouse (data)

An overview of security ontologies

This paper presents an overview of ontologies in Information Systems Security. Information Systems Security is a broad and dynamic area that clearly benefits from the formalizations of concepts provided by ontologies. After a very short presentation of ontologies and Semantic Web, several works in Security Ontologies targeting different aspects of security engineering are presented together with another study that compares several publicly available security ontologies

Contextual Components of an Enterprise Architecture Framework for Pan-European eGovernment Services

Enterprise Architecture (EA) frameworks provide a wide range of architecture components. Contextual EA components provide the necessary guidance to design specific architectures in a given context e.g. for Pan-European Government Services (PEGS). Contextual EA components help to describe the background and scope of architecture work and provide a ground to tackle architecture challenges in an agreed way. The main contribution of this conceptual paper is to connect existing theoretical models as a basis to examine contextual components of an EA framework for PEGS. Three aspects are elaborated using a model-based approach: a Critical Success Factor Model, a Strategy Management Model and a Stakeholder Engagement Model. The identified models are aligned with EA standards and provide guidance to empirical research and to programs, projects and initiatives that wish to create interoperability architectures