Pathological video game use among young Swiss men: the use of monothetic and polythetic formats to distinguish between pathological, excessive and normal gaming

There is no agreement about the distinction between pathological, excessive and normal gaming. The present study compared two classifications for defining pathological gaming: the polythetic format (gamers who met at least half of the criteria) and monothetic format (gamers who met all criteria). Associations with mental, health and social issues were examined to assess differences between subgroups of gamers. A representative sample of 5,663 young Swiss men filled in a questionnaire as part of the ongoing Cohort Study on Substance Use Risk Factors (C-SURF). Game use was assessed with the Game Addiction Scale. Mental, social and physical factors (depression, anxiety, aggressiveness, physical and mental health, social and health consequences), gambling and substance use (illicit drug use, alcohol dependence and problematic cannabis use) were also assessed. The results indicated that monothetic gamers shared problems with polythetic gamers, but were even more inclined to mental health issues (depression, anxiety, and aggressiveness) and were more vulnerable to other dependencies like substance use, alcohol dependence or gambling. A second analysis using Latent Class Analysis confirmed the distinction between monothetic and polythetic gamers. These findings support the use of a monothetic format to diagnose pathological gaming and to differentiate it from excessive gaming.

Enriching e-learning metadata through digital library usage analysis

Peer-reviewed

Metadata for describing learning scenarios under European Higher Education Area paradigm

In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European HigherEducation Area paradigm, using competences and learning activities as the basic pieces of the learning process, instead of contents and learning resources, pursuing personalization. Classical arrangements of content based courses are no longer enough to describe all the richness of this new learning process, where user profiles, competences and complex hierarchical itineraries need to be properly combined. We study the intersection with the current IMS Learning Design specification and theadditional metadata required for describing such learning scenarios. This new approach involves the use of case based learning and collaborativelearning in order to acquire and develop competences, following adaptive learning paths in two structured levels.

Els graduats ben formats, la universitat i la innovació

Una de les coses que em sorprèn o, potser millor, m'empipa, és veure com hi ha poques empreses autòctones que es dediquin a estudiar i comercialitzar amb èxit aliments funcionals o complements alimentosos que aprofitin les propietats d'aquestes substàncies. La gran majoria d'empreses catalanes que s'hi dediquen només són distribuïdores de les marques consolidades d'altres països

Data Consistency by a Metadata Management Solution

This thesis consists of three main theoretical themes: quality of data, success of information systems, and metadata in data warehousing. Loosely defined, metadata is descriptive data about data, and, in this thesis, master data means reference data about customers, products etc. The objective of the thesis is to contribute to an implementation of a metadata management solution for an industrial enterprise. The metadata system incorporates a repository, integration, delivery and access tools, as well as semantic rules and procedures for master data maintenance. It targets to improve maintenance processes and quality of hierarchical master data in the case company’s informational systems. That should bring benefits to whole organization in improved information quality, especially in cross-system data consistency, and in more efficient and effective data management processes. As the result of this thesis, the requirements for the metadata management solution in case were compiled, and the success of the new information system and the implementation project was evaluated.

Key performance indicators for successful metadata governance

Metadata in increasing levels of sophistication has been the most powerful concept used in management of unstructured information ever since the first librarian used the Dewey decimal system for library classifications. It remains to be seen, however, what the best approach is to implementing metadata to manage huge volumes of unstructured information in a large organization. Also, once implemented, how is it possible to track whether it is adding value to the company, and whether the implementation has been successful? Existing literature on metadata seems to either focus too much on technical and quality aspects or describe issues with respect to adoption for general information management initiatives. This research therefore, strives to contribute to these gaps: to give a consolidated framework for striving to understand the value added by implementing metadata. The basic methodology used is that of case study, which incorporates aspects of design science, surveys, and interviews in order to provide a holistic approach to quantitative and qualitative analysis of the case. The research identifies the various approaches to implementing metadata, particularly studying the one followed by the unit of analysis of case study, a large company in the Oil and Gas Sector. Of the three approaches identified, the selected company already follows an approach that appears to be superior. The researcher further explores its shortcomings, and proposes a slightly modified approach that can handle them. The research categorically and thoroughly (in context) identifies the top effectiveness criteria, and corresponding key performance indicators(KPIs) that can be measured to understand the level of advancement of the metadata management initiative in the company. In an effort to contrast and have a basis of comparison for the findings, the research also includes views from information managers dealing with core structured data stored in ERPs and other databases. In addition, the results include the basic criteria that can be used to evaluate metrics, in order to classify a metric as a KPI.

Europeana metadata ingestion

Francesca Morsellin esitys Europeana työpajassa 20.11.2012 Helsingissä.

Building Next Generation Consortium Services – part 3: The National Metadata Repository, Discovery Service Finna, and the New Library System

Kristiina Hormia-Poutasen esitys CBUC-konferenssissa Barcelonassa 12.4.2013.

Office File Formats – What’s to be Done?

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

From Local Practice to Linked Open Data: Rethinking Metadata in Hydra

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Bye, ContentDM: Another one bites the dust

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Painted Into a Corner by Communities and Collections? Free Yourself with Metadata

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Implementing RDF metadata in Hydra

Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

DSpace Metadata Panel

Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Handshake ecosystem for Educational Contents between Institutional Repository and OER based Repository

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014