Research and Development Workstation Environment: the new class of Current Research Information Systems

Against the backdrop of the development of modern technologies in the field of scientific research the new class of Current Research Information Systems (CRIS) and related intelligent information technologies has arisen. It was called - Research and Development Workstation Environment (RDWE) - the comprehensive problem-oriented information systems for scientific research and development lifecycle support. The given paper describes design and development fundamentals of the RDWE class systems. The RDWE class system's generalized information model is represented in the article as a three-tuple composite web service that include: a set of atomic web services, each of them can be designed and developed as a microservice or a desktop application, that allows them to be used as an independent software separately; a set of functions, the functional filling-up of the Research and Development Workstation Environment; a subset of atomic web services that are required to implement function of composite web service. In accordance with the fundamental information model of the RDWE class the system for supporting research in the field of ontology engineering - the automated building of applied ontology in an arbitrary domain area, scientific and technical creativity - the automated preparation of application documents for patenting inventions in Ukraine was developed. It was called - Personal Research Information System. A distinctive feature of such systems is the possibility of their problematic orientation to various types of scientific activities by combining on a variety of functional services and adding new ones within the cloud integrated environment. The main results of our work are focused on enhancing the effectiveness of the scientist's research and development lifecycle in the arbitrary domain area.Comment: In English, 13 pages, 1 figure, 1 table, added references in Russian. Published. Prepared for special issue (UkrPROG 2018 conference) of the scientific journal "Problems of programming" (Founder: National Academy of Sciences of Ukraine, Institute of Software Systems of NAS Ukraine

Towards personalization in digital libraries through ontologies

In this paper we describe a browsing and searching personalization system for digital libraries based on the use of ontologies for describing the relationships between all the elements which take part in a digital library scenario of use. The main goal of this project is to help the users of a digital library to improve their experience of use by means of two complementary strategies: first, by maintaining a complete history record of his or her browsing and searching activities, which is part of a navigational user profile which includes preferences and all the aspects related to community involvement; and second, by reusing all the knowledge which has been extracted from previous usage from other users with similar profiles. This can be accomplished in terms of narrowing and focusing the search results and browsing options through the use of a recommendation system which organizes such results in the most appropriate manner, using ontologies and concepts drawn from the semantic web field. The complete integration of the experience of use of a digital library in the learning process is also pursued. Both the usage and information organization can be also exploited to extract useful knowledge from the way users interact with a digital library, knowledge that can be used to improve several design aspects of the library, ranging from internal organization aspects to human factors and user interfaces. Although this project is still on an early development stage, it is possible to identify all the desired functionalities and requirements that are necessary to fully integrate the use of a digital library in an e-learning environment

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events

We propose the new cloud-based service OpenResearch for managing and analyzing data about scientific events such as conferences and workshops in a persistent and reliable way. This includes data about scientific articles, participants, acceptance rates, submission numbers, impact values as well as organizational details such as program committees, chairs, fees and sponsors. OpenResearch is a centralized repository for scientific events and supports researchers in collecting, organizing, sharing and disseminating information about scientific events in a structured way. An additional feature currently under development is the possibility to archive web pages along with the extracted semantic data in order to lift the burden of maintaining new and old conference web sites from public research institutions. However, the main advantage is that this cloud-based repository enables a comprehensive analysis of conference data. Based on extracted semantic data, it is possible to determine quality estimations, scientific communities, research trends as well the development of acceptance rates, fees, and number of participants in a continuous way complemented by projections into the future. Furthermore, data about research articles can be systematically explored using a content-based analysis as well as citation linkage. All data maintained in this crowd-sourcing platform is made freely available through an open SPARQL endpoint, which allows for analytical queries in a flexible and user-defined way.Comment: A completed version of this paper had been accepted in SAVE-SD workshop 2017 at WWW conferenc

PlanetOnto: from news publishing to integrated knowledge management support

Given a scenario in which members of an academic community collaboratively construct and share an archive of news items, several knowledge management challenges arise. The authors' integrated suite of tools, called PlanetOnto, supports a speedy but high quality publishing process, allows ontology-driven document formalization and augments standard browsing and search facilities with deductive knowledge retrieva

Team 3: Exploring the relationship of systems research to systems literacy

In this paper, the Systems Research Team (SRT) details the activities and outcomes of the 2016 IFSR Conversation in Linz, Austria. The 2016 SRT includes: Mary Edson (team leader), Pam Buckle Henning, Tim Ferris, Andreas Hieronymi, Ray Ison, Gary Metcalf, George Mobus, Nam Nguyen, David Rousseau, and Shankar Sankaran, with guest team member, Peter Tuddenham, anchoring the endeavor in Systems Literacy. While the 2014 SRT’s focus was answering the question, “What distinguishes Systems Research from other types of research?” an internal focus intended to provide grounding for researchers new to the Systems Sciences, the 2016 SRT’s focus is on reaching out to a broader community in order to provide a foundation for Systems Literacy. The team’s Conversation revolved around the question, “How can Systems Research be in service to Systems Literacy?” The team’s discussions were directed into two essential aspects, separate and integrated, of this question. First, Systems Research serves Systems Literacy by providing a credible foundation for the principles and practices of Systems Science and Systems Thinking in both systematic and systemic modes. Second, Systems Research provides a neutral frame for development of ethical applications of those principles and practices. The SRT recognizes the exigency in providing foundational principles that can be effectively adopted and disseminated through Systems Literacy. The team’s narrative begins with an understanding the urgency for application of Systems Sciences and Systems Thinking to critical issues. Systems research, as with other types of research, is typically a slow generation of results; however, the body of knowledge gained through this process can be confidently used to address complexity in timely ways. The criticality of the need for salient approaches to complexity is shown in a graphic representation of some possible trajectories of applying or not applying these Systems principles in practice. The choice of how we respond to these issues relates to a process model that can be applied. Through understanding the relationship of the process model to the trajectory, the team directed its focus to developing a MindMap (Eppler, 2006) of eight essential aspects or features of how Systems Research can support Systems Literacy. These include: Systems Science knowledge base, roles and personas, maturity models, role profile, ontology/vocabulary, perspective/framing choice, frameworks, and political ecology. Each of these eight has its own process of unpacking, which was demonstrated to the Conversation participants by delving more deeply into the aspect of knowledge base. The eight relate to unpacking the Systems landscape in a coherent but loosely coupled investment portfolio (economic, social, and relational) for building systemic sensibility in such a way as to be dis/aggregated for different audiences. The week’s work culminated in a plan for “Looking Ahead,” which outlines the intentions of the SRT to continue its activities in support of Systems Literacy in the upcoming months. An example of this continued work is a workshop, “Toward Systems Literacy, the Role of Systems Research,” that was conducted at the 60th Meeting of the International Society for the Systems Sciences in Boulder, July 25, 2016

Rethinking Information Systems research methods with Heidegger’s ontology

IS research is to some extent driven by practitioner concerns. Both practitioners and .Information Systems (IS) research has been dominated by the Cartesian worldview of duality. This has had the effect of narrowing the range of research questions addressed and focusing mainstream research on the application of scientific research methods. Heidegger’s ontology gives us an alternative view of the reality of human life. His analysis of tools in use (which he labels equipment) is of particular interest for IS research. His concept of equipment can be directly applied to Information and Communications Technology (ICT) by both practitioners and researchers. The paper outlines some of the implications of this step for IS researchers

The INCF Digital Atlasing Program: Report on Digital Atlasing Standards in the Rodent Brain

The goal of the INCF Digital Atlasing Program is to provide the vision and direction necessary to make the rapidly growing collection of multidimensional data of the rodent brain (images, gene expression, etc.) widely accessible and usable to the international research community. This Digital Brain Atlasing Standards Task Force was formed in May 2008 to investigate the state of rodent brain digital atlasing, and formulate standards, guidelines, and policy recommendations.

Our first objective has been the preparation of a detailed document that includes the vision and specific description of an infrastructure, systems and methods capable of serving the scientific goals of the community, as well as practical issues for achieving
the goals. This report builds on the 1st INCF Workshop on Mouse and Rat Brain Digital Atlasing Systems (Boline et al., 2007, _Nature Preceedings_, doi:10.1038/npre.2007.1046.1) and includes a more detailed analysis of both the current state and desired state of digital atlasing along with specific recommendations for achieving these goals