Libraries, Digitized Cultural Heritage, and Social Cohesion of Smart Cities

Creating the complex service system of smart cities provides a new opportunity for the proportion and composition of available digital services to serve the satisfaction and the optimal functioning of society. Shaping the network services provided by LAM institutions is just as important in the social life of smart cities as defining the roles of public institutions. The authors of this chapter seek to identify how digital repositories can be effectively interpreted as modules of a complex service system. Five different module models are introduced based on the projects conducted by the Institute of Library and Information Science of Eötvös Loránd University in Budapest, Hungary. These modules, focusing on different aspects of user interest and activity, are suitable for strengthening social cohesion in the everyday life of smart cities by involving cultural heritage.

Crosswalk among Prominent Open Research Data Repositories

Open Access is a synergised global movement using Internet to provide equal access to knowledge that once hid behind the subscription paywalls. Many new models for scholarly communication have emerged in recent past. One among them is institutional or digital repositories which archive the scholarly content of an organization. While the concept of Open Access opened new arena for institutional or digital repositories in the form of Open repositories. Likewise, the Open repositories for Research Data Management (RDM) are initiative to organize, store, cite, preserve, and share the collected data derived from the research. There are many multidisciplinary and subject specific open repositories for RDM offering exquisite features for perpetual management of research data. The objective of the present study is to evaluate features of popular Open Data Repositories-Zenodo, FigShare, Harvard Dataverse and Mendeley Data. The evaluation provided insights about the key features of the selected Open Data Repositories and which enable us to select the best among them. Zenodo provides maximum data upload limit. While the major features required by a researcher like DOI, File Types, citation support, licenses, search (metadata harvesting) are provided by all three repositories.

Zastosowania technologii blockchain w finansach

This chapter describes blockchain – an IT tool which has found an innovative use in finance, creating a new, fast-growing segment within FinTech. Blockchain, connected to the field of Distributed Ledger Technology, over the last few years has become a proposed solution for problems ranging from keeping financial records to designing new forms of money. The chapter establishes the foundations for further research by explaining what blockchain is and how it works, describing its characteristic features and weighing them against each other in a SWOT matrix. Following that, a number of proposed and already implemented applications of the technology are presented and discussed. This includes: cryptocurrencies, investment/security tokens and the process of tokenizing other types of real-world assets as well as digital repositories.

A clustering algorithm to evaluate the attitude of Brazilian researchers regarding open access research data

The core point of the research process are data. They are records from scientific investigation, which support the results published in journals and conferences. Making research data available in open access digital repositories has many advantages, such as increasing the visibility of associated publications, reproducing experiments, and validating results. In Brazil, full and unrestricted sharing of them is not yet accepted by most researchers. This paper presents an initial study to describe a model analyzing the attitude of Brazilian researchers concerning open access research data. A clustering algorithm was used to identify different research profiles. The achieved results indicate the main reasons why the researchers object to share their data.

On interoperability of metadata within RNPLS&T’s Single Open Information Archive

Russian National Public Library for Science and Technology has been developing the Single Open Information Archive (UOIA) to merge all digital full-text resources created or acquired by the Library. The authors examine the issues of interoperability when exchanging metadata between UOIA built on library automation software and open archives using OAI-PMH technology for metadata acquisition. Interoperability in information exchange between different ALIS is provided, for example, through applying SRU/SRW protocol and metadata scheme, while metadata exchange between OA repositories is provided mainly within Dublin Core (DC) scheme. ALIS – OA metadata transmission with transformation into DC results in information loss and prevents unambiguous reverse transformation.For a long time, DSpace has been the most popular software for open digital repositories. This product enables OAI-PMH metadata acquisition in DC and Qualified DC (QDC) formats, and supports Object Reuse and Exchange (ORE) standard, which enables to describe aggregated resources. ORE in DSpace enables to collect not only metadata but also connected files and to receive other connected data provided by importing source. DSpace uses rather simple ORE format based on Atom XML that allows binding several files of different functionality with RDF-triplets.The OAI-PMH software connector is designed for RNPLS&T SOIA and enables to present metadata in DC, QDC, MARC21, and ORE formats, which supports interoperability in information exchange with OA repositories with DSpace software. Beside metadata transmission, transmission of various data types is possible, e. g. document text or license information. Further development is to expand format structure to represent associated data, in particular using RDF.

Considerations for Post-processing Parameters in Mixed-Method 3D Analyses

ABSTRACTThe production of three-dimensional (3D) digital meshes of surface and computed tomographic (CT) data has become widespread in morphometric analyses of anthropological and archaeological data. Given that processing methods are not standardized, this leaves questions regarding the comparability of processed and digitally curated 3D datasets. The goal of this study was to identify those processing parameters that result in the most consistent fit between CT-derived meshes and a 3D surface model of the same human mandible. Eight meshes, each using unique thresholding and smoothing parameters, were compared to assess whole-object deviations, deviations along curves, and deviations between specific anatomical features on the surface model when compared with the CT scans using a suite of comparison points. Based on calculated gap distances, the mesh that thresholded at “0” with an applied smoothing technique was found to deviate least from the surface model, although it is not the most biologically accurate. Results have implications for aggregated studies that employ multimodal 3D datasets, and caution is recommended for studies that enlist 3D data from websites and digital repositories, particularly if processing parameters are unknown or derived for studies with different research foci.

Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System

Digital repositories contain a large amount of content, which is available to heterogeneous groups of people. As such, in many cases people encounter difficulties in finding specific content which is related to their preferences. In view of this compelling need and towards advancing human-computer interaction, this paper presents a recommender system which is incorporated in a digital repository. The recommender system is designed using multiple-criteria decision analysis (MCDA) and more specifically the weighted sum model (WSM) in order to refine the delivered content to the users. It also considers several users’ characteristics (their preferences as depicted by the content they visited or searched and by the frequency of searches/visits) and features of the content (content types and traffic). The recommender system outputs the suggestions of content to users based on their preferences and interests. The presented recommender system was evaluated by real users, and the results show a high degree of accuracy in the recommended content and satisfaction by users.

A non-traditional open-source solution for altmetrics

Purpose Altmetric carries the potential of highlighting scholarly content by measuring online interactions much before other forms of traditional metrics grow up. The aim of this paper is to be the single point of access for librarians, scientists, information specialists, researchers and other scholars in public to learn to embed the open-source embeddable badge provided by Altmetric in their websites and showcase their article altmetrics. Libraries can take advantage of this free and innovative tool by incorporating it in their own websites or digital repositories. Design/methodology/approach This paper elucidates steps for embedding altimetric institutional repository badges in personal websites or institutional repositories. Findings This open-source Altmetric tool tracks a range of sources to catch and collect the scholarly activity and assists in monitoring and reporting the attention surrounding an author’s work in a very timely manner. Originality/value This tool is freely available to libraries worldwide.

Learning Analytics Tool for Bulgarian School Education

Nowadays, schools use many information systems to automate their activities for different stakeholders’ groups – learning management systems, student diary, library systems, digital repositories, financial management and accounting systems, document processing systems, etc. The huge amount of data generated by the users of these systems, led to increased interest in the collection and analysis of data to encourage students to achieve higher results, teachers to provide personalized support and school managers to make data-driven decisions at all levels of school, and stimulates research into the application of Learning Analytics (LA) in schools. The paper presents a LA model and a software prototype of the LA tool designed for the needs of Bulgarian school education from the perspective of different stakeholder groups (students, teachers, class teachers, parents, school managers, inspectors from evaluation agencies), aiming to improve school methods of approaching and analyzing learning data. The tool allows stakeholders to track data for students’ learning or training for different purposes, e.g. monitoring, analysis, forecast, intervention, recommendations, etc., but finally to improve the quality of learning and teaching processes. Research and experiments with the model and the LA tool under consideration are conducted based on the information infrastructure of a typical Bulgarian school.