Large Scale Document Management System: Creating Effective Public Sector Knowledge Management System

The digital age has redefined the production process and utilisation of documents globally. In the information age, the process of input, delivery, storage, receipt, and categorization of data is critical. The public sector has to rely more and more on automated, reliable solutions in order to keep their information safe and readily accessible for effective governance. A document management system is a computer system used to track and store electronic documents and/or images of paper documents. The term has some overlap with the concepts of content management systems often viewed as a component of enterprise content management systems and related to digital asset management, document imaging, workflow systems and records management systems. This paper examines an ongoing document management implementation case study in a public sector of digital assets of over twelve million pages, scalable to billions of pages, highlighting the taxonomy, content and knowledge management creation using an enterprise content management system and discusses the role in national development and growt

1st INCF Workshop on Sustainability of Neuroscience Databases

The goal of the workshop was to discuss issues related to the sustainability of neuroscience databases, identify problems and propose solutions, and formulate recommendations to the INCF. The report summarizes the discussions of invited participants from the neuroinformatics community as well as from other disciplines where sustainability issues have already been approached. The recommendations for the INCF involve rating, ranking, and supporting database sustainability

Report of the Stanford Linked Data Workshop

The Stanford University Libraries and Academic Information Resources (SULAIR) with the Council on Library and Information Resources (CLIR) conducted at week-long workshop on the prospects for a large scale, multi-national, multi-institutional prototype of a Linked Data environment for discovery of and navigation among the rapidly, chaotically expanding array of academic information resources. As preparation for the workshop, CLIR sponsored a survey by Jerry Persons, Chief Information Architect emeritus of SULAIR that was published originally for workshop participants as background to the workshop and is now publicly available. The original intention of the workshop was to devise a plan for such a prototype. However, such was the diversity of knowledge, experience, and views of the potential of Linked Data approaches that the workshop participants turned to two more fundamental goals: building common understanding and enthusiasm on the one hand and identifying opportunities and challenges to be confronted in the preparation of the intended prototype and its operation on the other. In pursuit of those objectives, the workshop participants produced:1. a value statement addressing the question of why a Linked Data approach is worth prototyping;2. a manifesto for Linked Libraries (and Museums and Archives and …);3. an outline of the phases in a life cycle of Linked Data approaches;4. a prioritized list of known issues in generating, harvesting & using Linked Data;5. a workflow with notes for converting library bibliographic records and other academic metadata to URIs;6. examples of potential “killer apps” using Linked Data: and7. a list of next steps and potential projects.This report includes a summary of the workshop agenda, a chart showing the use of Linked Data in cultural heritage venues, and short biographies and statements from each of the participants

Causal mechanisms that enable institutionalisation of open government data in Kenya

Open Government Data (OGD) has become a topic of prominence during the last decade. However, most governments have not realized the desired outcomes from OGD, which implies that the envisaged value streams have not been realized. This study defines three objectives that will help address this shortcoming. First, it seeks to identify the causal mechanisms that lead to effective institutionalization and sustainability of OGD initiatives in a developing country context. Second, it seeks to identify the social, economic, cultural, political structures and components that describe the OGD context. Third, it seeks to identify the underlying contextmechanism- outcome (CMO) configurations in the Kenya Open Data Initiative (KODI). The guiding philosophy for this qualitative study is critical realism, which is implemented using Pawson & Tilley's realist evaluation model. Data is obtained through observation of open data events, semi-structured interviews and documentary materials from websites and policy documents. Fereday & Muir-Cochrane's five-stage thematic analysis model is applied in conducting data analysis. Three main contributions arise from this study. The first contribution is the open data institutionalization analysis guide. This study collates several institutionalization concepts from literature with the aim of developing a lens for analyzing OGD initiatives. The second contribution is the identification of supporting mechanisms, including a description of the current CMO configurations. The resulting case study provides an in-depth account of KODI between 2011 and 2016. This will assist policy makers in understanding the current setup, identifying gaps, and establishing or supporting existing support structures and mechanisms. The third contribution is related to scarcity of empirical work based on critical realism in the field of information systems. This research will act as a reference point for future IS research, in determining how critical realism can be applied to conduct similar studies

Deploying Semantic Web Services-Based Applications in the e-Government Domain

Joining up services in e-Government usually implies governmental agencies acting in concert without a central control regime. This requires to the sharing scattered and heterogeneous data. Semantic Web Service (SWS) technology can help to integrate, mediate and reason between these datasets. However, since a few real-world applications have been developed, it is still unclear which are the actual benefits and issues of adopting such a technology in the e-Government domain. In this paper, we contribute to raising awareness of the potential benefits in the e-Government communityby analyzing motivations, requirements and expected results, before proposing a reusable SWS-based framework. We demonstrate the application of this framework by showing how integration and interoperability emerge from this model through a cooperative and multi-viewpoint methodology. Finally, we illustrate added values and lessons learned by two compelling case studies: a change of circumstances notification system and a GIS-based emergency planning system, and describe key challenges which remain to be addressed

Social Computing and Cooperation Services for Connected Government and Cross-Boundary Services Delivery

Connected Government requires different government organizations to connect seamlessly across functions, agencies, and jurisdictions in order to deliver effective and efficient services to citizens and businesses. In the countries of the European Union, this also involves the possibility of delivering cross-border services, which is an important step toward a truly united Europe. To achieve this goal, European citizens and businesses should be able to interact with different public administrations in different Member States in a seamless way to perceive them as a single entity. Interoperability, which is a key factor for Connected Government, is not enough in order to achieve this result, since it usually does not consider the social dimension of organizations. This dimension is at the basis of co-operability, which is a form of non-technical interoperability that allows different organizations to function together essentially as a single organization. In this chapter, it is argued that, due to their unique capacity of coupling several technologies and processes with interpersonal styles, awareness, communication tools, and conversational models, the integration of social computing services and tools within inter-organizational workflows can make them more efficient and effective. It can also support the \u201clearning\u201d process that leads different organizations to achieve co-operability