Klara Žnideršič

Glede na hitro naraščajočo količino odprtih podatkov in dejstvo, da so ti široko dostopni, je pomembno, da so podatki ne le dostopni, temveč tudi dosegajo primerno kakovost za nadaljnjo uporabo. Ta je namreč ključna za zagotavljanje pravilnih, uporabnih in zanesljivih rezultatov, zato je pred ponovno uporabo smiselno oceniti, v kakšnem stanju so podatki. V ta namen smo razvili metodologijo za kvalitativno vrednotenje odprtih podatkov, pri čemer smo elemente metodologije izbrali na podlagi pregleda obstoječih raziskav in pristopov k vrednotenju kakovosti podatkov. Pristop, ki ga predlagamo, ni specifično prilagojen posameznim strokovnim področjem, temveč vključuje splošne kazalnike kakovosti, ki omogočajo široko uporabnost metodologije. V okviru ciljnega raziskovalnega projekta smo metodologijo prilagodili uporabi na portalu Odprtih podatkov Slovenije (OPSI), s čimer želimo spodbuditi uporabo slovenskih odprtih podatkov na različnih raziskovalnih in poslovnih področjih.

Poglavje obravnava pregled obstoječih pristopov k vrednotenju kakovosti odprtih podatkov, pri čemer se osredotoča na metodologije, standarde in praktične primere uporabe. Avtorja navedeta ključne pravne podlage in izpostavljata pomen zagotavljanja kakovosti (meta)podatkov za njihovo uporabnost. Predstavljeni so različni standardi in prakse, med njimi DCAT, standardi ISO, načela FAIR in petzvezdični sistem za ocenjevanje odprtosti podatkov, ter uveljavljeni modeli in orodja za ocenjevanje kakovosti. Analiza vključuje tudi pregled dobrih praks v različnih državah in na portalih, kar ponuja vpogled v učinkovite pristope k zagotavljanju kakovostnih odprtih podatkov. Prispevek tako služi kot vodilo za razumevanje kakovosti odprtih podatkov ter možnosti njihovega učinkovitejšega vrednotenja in uporabe.

The open data movement has led to the widespread sharing of data across all sectors, offering great potential for innovation and informed decision-making. Nevertheless, open data quality remains a key challenge. This study provides a systematic overview of 16 recent methodologies for data quality assessment, emphasizing their alignment with ISO/IEC 25012 and ISO 8000 standards, FAIR principles, 5-Star Linked Open Data System, and DCAT vocabulary. We also highlight foundational work and identify adaptable methods suitable for the Slovenian open data portal. By recommending practical approaches, this work provides a strategic basis for improving data quality in regional and national platforms, supporting improved data utilization and transparency for end users.

The paper explores the use of virtual reality (VR) games for enhancing motivation and effectiveness in foreign language learning through virtual environments. In addition to increasing students’ motivation to study a foreign language, it also aims to explore the use of the app as a complementary tool in formal educational settings. A VR language-learning game, LingoVerse , was developed and tested, with a focus on gamification mechanisms. An evaluation study that included pre- and post-test proficiency tests and user feedback, provides preliminary signals that the game may support language acquisition and motivation. We also consider the technical limitations of VR devices and discuss the challenges reported in interviews by individual users. The findings suggest that the LingoVerse game showed a potentially positive effect on conventional test performance and language learning outcomes, and that VR may be suitable as a supplementary tool for practice in both traditional language education and individual learning.

Over the past two decades, open data sharing, reuse and data-driven innovation have become essential components of the digital economy in Slovenia and across Europe. The European Strategy for Data and the Data Act aim to create a single data market and promote common European data spaces that support data accessibility, interoperability, and sovereignty. Despite regulatory progress, challenges remain in terms of companies' ability to implement data sharing regulations, integrate into data ecosystems, and develop sustainable business models. For this purpose, we conducted a systematic literature review to identify research gaps in the field of data economy integration, using the PRISMA model. Preliminary findings indicate a lack of practical implementations and maturity of data spaces, highlighting the need for further research on regulatory compliance, technology readiness and value creation strategies. The findings contribute to a deeper understanding of how enterprises can effectively navigate the evolving data economy and leverage data sharing frameworks for innovation and growth.

Glede na hitro naraščajočo količino odprtih podatkov in dejstvo, da so ti široko dostopni, je pomembno, da so podatki ne le dostopni, temveč tudi dosegajo primerno kakovost za nadaljnjo uporabo. Ta je namreč ključna za zagotavljanje pravilnih, uporabnih in zanesljivih rezultatov, zato je pred ponovno uporabo smiselno oceniti, v kakšnem stanju so podatki. V ta namen smo razvili metodologijo za kvalitativno vrednotenje odprtih podatkov, pri čemer smo elemente metodologije izbrali na podlagi pregleda obstoječih raziskav in pristopov k vrednotenju kakovosti podatkov. Pristop, ki ga predlagamo, ni specifično prilagojen posameznim strokovnim področjem, temveč vključuje splošne kazalnike kakovosti, ki omogočajo široko uporabnost metodologije. V okviru ciljnega raziskovalnega projekta smo metodologijo prilagodili uporabi na portalu Odprtih podatkov Slovenije (OPSI), s čimer želimo spodbuditi uporabo slovenskih odprtih podatkov v različnih raziskovalnih in poslovnih področjih.

Nove funkcionalnosti na mobilni platformi za učenje glasbene teorije so usmerjene v prima vista izvajanje ritmičnih in melodičnih vzorcev ter so integrirane v celostno zasnovo platforme, saj ohranjajo enotne poigritvene elemente. Evalvacija uporabniške izkušnje novih igrificiranih pripomočkov je ponudila pozitivne povratne informacije, ki so spodbudni za popularizacijo in nadaljnji razvoj aplikacije.

The open data market is growing, driven by laws requiring governments to make data publicly available. However, the true value of this market lies in the products and services derived from open data. In Slovenia, the open data market has been growing since 2015, especially in the field of mobility. Platforms such as Avtolog.si facilitate the retrieval of vehicle data via vehicle identification numbers, while tocen.si, ojpp.si, and brezavta.si aggregate mobility data, focusing on sustainable and micromobile public transportation services. These platforms use open government data and private sector open data, and are freely accessible. This study examines the use of open data in the Slovenian mobility applications and similar solutions developed in other countries. By mapping these applications, we gain valuable insights into potential advances in the field, and provide a useful resource for future developers worldwide. By focusing on the socio-economic impact of these innovations, the study identifies methods for evaluating such applications. This approach highlights how transforming open data into user-friendly products and services can deepen our understanding of their broader societal and economic benefits. While open data is valuable in its own right, its full transformative potential is realized through innovative products that support sustainable lifestyles and promote environmentally conscious behavior.