Open research Europe最新文献

Background: This article provides an analysis of the pedagogical underpinnings that characterise the research integrity (RI) training approaches and materials developed by four European Union - funded projects. The approaches taken by these projects include a dialogical approach, an empowerment approach, a virtue ethics approach, and a constructivist case-based approach. We analysed the materials/trainings created in the projects. In doing so, we propose how to make use of a structured way of working with learning objectives, in order to ensure that research integrity training meets the needs of its target groups.

Methods: We applied qualitative, deductive content analysis in which we analysed the learning objectives stated in the training schemes of the four projects. A total of 46 learning objectives were analysed using three learning taxonomies, namely the revised Bloom's Taxonomy, the SOLO Taxonomy, and the Taxonomy of Significant Learning.

Results: The results show that the four RI trainings make use of either a constructivist or a socio-constructivist understanding of learning, implement activating and engaging learning activities, and emphasise high-order learning objectives.

Conclusions: The analysis suggests that taxonomies are applicable to various pedagogical underpinnings and can help trainers to communicate the objectives of training and learners to relate their expectations to the objectives. We identify implications for training design and suggest recommendations for training developers. It is advisable to pay attention to learning objectives dedicated to foster the higher levels of learning and understanding. Less commonly applied taxonomies in the context of integrity training, such as the Taxonomy of Significant Learning can help to identify relevant learning objectives both for trainers as well as learners. Research cultures and disciplinary differences are generally not spelled out at the level of learning objectives highlighting the need to consider these explicitly in training implementation.

Light plays a significant role in human physiology and behaviour, influencing sleep, mood, alertness and overall health. Yet light exposure remains a neglected determinant of health, with most evidence coming from high-income countries. This data note presents a dataset collected in Kumasi, Ghana, between October 2024 and February 2025, containing personal light exposure measured with wearable melanopic light loggers alongside behavioural and environmental factors obtained through self-reports. Fifteen participants (n=8 female, mean±SD age 22.6±1.2 years) wore three ActLumus light-logging devices continuously for seven days, recording light exposure every 10 seconds at the near-corneal plane, chest and wrist. Participants also completed daily questionnaires on sleep, mood and physical activity, as well as structured assessments of their sleep environment and light-related behaviours. This dataset provides the first high-resolution account of daily light exposure in sub-Saharan Africa. By enabling cross-context comparisons, it contributes to understanding the diversity of light environments globally and can inform interventions for sleep health, mental health and chronic disease prevention.

Background: Positive Energy Districts (PEDs) are central to the European Union's vision for climate-neutral cities, offering a transformative model for sustainable urban development. However, their systemic, multiscalar, and interdisciplinary nature introduces significant challenges in both planning and operation. Currently, the support of digital twins to PEDs planning and operation is limited due to technological, organizational, and institutional barriers, as highlighted in previous studies. This study explores the role of digital twins in addressing the complexities of PEDs.

Method and results: Accordingly, a step-by-step methodology is proposed to guide the development and implementation of digital twins throughout the PED lifecycle, from early planning to operational management. The methodology emphasizes the integration of technological and spatial dimensions and incorporates user experience research (UXR) to ensure effective stakeholder engagement. The proposed methodology was developed within the context of the PED under development at the Politecnico di Torino campus. This case study demonstrates how digital twins can support system design, simulation, real-time control, and transparent reporting, while also enhancing stakeholder involvement.

Conclusions: All in all, digital twins hold significant potential to overcome the inherent complexities of PEDs, yet their adoption remains limited. The presented methodology offers a structured approach to facilitate their integration, promoting more effective planning, operation, and stakeholder collaboration in PED initiatives.

Open data are crucial for scientific knowledge production, transparency and accountability, as well as innovation. The European Union has implemented various policies and regulatory frameworks for open government data and open scientific data, as well as for data sharing and re-use of non-government data. However, the mere availability of open data does not ensure its reuse and distributional benefit to society, and its production can meet sustainability challenges. Working with open data requires data skills, access to data infrastructures, and regulatory guidance to address privacy, confidentiality and intellectual property requirements. Further, critical scholarship has cautioned against the de facto valorisation of open data, and urges focus on the socio-technical and political aspects of production, dissemination and use of open data beyond mere economic value. This open letter is building upon findings of an interdisciplinary Marie Curie Action Innovative Training Network focussed on 'Open Data ECOsystems' (ODECO). It claims that in a data-driven economy and a datafied society, more attention needs to be paid to the conditions within which open data is produced, disseminated and used, and by whom. Accordingly, this open letter provides a set of actionable recommendations for both practitioners and policymakers, to support sustainability as well as economic and social value in open data initiatives, through proposals in areas including data quality, governance, participation and infrastructure.

Background: Export Promotion Agencies (EPAs) play a crucial role in facilitating the internationalization of small and medium enterprises (SMEs), contributing significantly to economic growth. The complexity of their operations, diversity of services provided, and challenges in attributing outcomes complicate the effective implementation of Performance Management Systems (PMSs).

Method: This study investigates how the Logic Model framework can be utilized as a strategic, structured, and flexible tool to design and implement PMSs tailored to the unique operational needs of EPAs. A qualitative, exploratory multiple-case study approach was applied, involving various types of EPAs within Spain-including provincial, regional, national, and a regional EPA belonging to a European network.

Results: The research identifies significant variability in PMS sophistication and logic model adoption across agencies. The Logic Model, emphasizing causal linkages between inputs, activities, outputs, and outcomes, offers EPAs a coherent framework to enhance transparency, accountability, and strategic learning. An extended illustrative case of a European-networked regional EPA highlights best practices in integrating structured client journeys, performance monitoring, and dynamic feedback mechanisms into service delivery.

Conclusion: This research proposes a comprehensive methodology for implementing Logic Model-based PMSs within EPAs, emphasizing stakeholder participation, flexible indicators, systematic service quality evaluation, and continuous adaptive management. By addressing the identified gaps in performance management practices within EPAs, the study contributes to both academic literature and practical guidelines, ultimately supporting the international competitiveness of SMEs and economic development objectives.

Understanding the interplay between ecological processes and human-built environments is key to addressing the entangled dynamics of marine and terrestrial landscapes, yet these relationships are often studied separately. This paper addresses this issue by exploring the socioecological histories of North Atlantic fishing landscapes, with a focus on Ísafjörður, situated in the Westfjords of Iceland, a critical site in the history of cod ( Gadus morhua) fisheries. It presents the outcomes of a weeklong workshop that explored the connections between urban development and cod populations through three thematic lenses: 1) the urban development of Ísafjörður, 2) the life cycle of cod, and 3) Icelandic fisheries. A range of interdisciplinary methods was applied, including archival photography analysis, historical mapping, cod movement pattern reconstruction, oceanographic data assessment, investigation of vessel technology, and fisheries data analysis. Our findings reveal overlapping timelines that link fish population cycles with patterns of urban growth, highlighting points of convergence where ecological and social dynamics intersect. Visual representation was used as an integrative tool to translate between marine processes and the built environment. By reflecting on the workshop's experiments and achievements, this paper proposes strategies for future research at the intersection of ecology, fisheries, and architecture.

Background: Light exposure plays a crucial role in human health, influencing sleep, circadian rhythms, and visual development. As wearable light loggers are increasingly used to monitor real-world light exposure, their design must balance metrological accuracy with comfort and usability.

Methods: We assessed the perceived wearability and appeal of eight light logger designs and placements (chest pin, wrist, necklace, sleeve collar, collar pin, neck loop, hat pin, and glasses) using an online survey completed by 145 participants (mean age 32 years, 52% female) from the UK, USA, and other countries worldwide. Each design was rated on overall attractiveness, likelihood of wear at home, at work, in public settings, in social contexts, during exercise, expected wear duration, and perceived interference with daily activities.

Results: The chest pin received the highest overall ratings, followed by wrist and necklace, while glasses and hat pin placements were rated lowest across most contexts. Likelihood of wear was highest in the home setting and significantly lower in social (β = -0.92 ± 0.08) and work (β = -0.84 ± 0.08) contexts. Compared to the chest pin, other placements were rated up to 2.6 points lower (e.g., glasses: β = -2.62 ± 0.10). Wearing position significantly influenced all ratings (p < 0.001), while sample location and gender showed minimal effects. The thematic analysis of free-text responses revealed concerns around comfort, appearance, stability, and interference with daily activities.

Conclusions: These findings highlight the importance of user-centred design and offer practical guidance for wearable light loggers that are acceptable in everyday contexts.

The growing demand for reproducible research is based on the expectation that publishing research in this form will enable its reuse and the generation of new knowledge. However, reproducibility alone does not guarantee these benefits. Users still need to make considerable efforts to understand the data and analysis code before they can reuse these components in other contexts. To address this challenge, we introduce the Data-to-Knowledge Package (D2K-Package), a collection of research materials including source code and open FAIR data, virtual labs, web API services, and computational workflows. The D2K-Package's core is the reproducible basis composed of the data and source code on which an analysis is based. This core is designed such that the other components can be derived from it. The main goal of the package is to help researchers generate new knowledge by facilitating the understanding and encouraging the reuse of reproducible research. We demonstrate the applicability of the D2K-Package with a hydrological use case which can be also used for testing, and discuss its seamless integration into the research cycle.

Background: The objective of this study is to explore the potential of Oxazole (Oxa, C ₃H ₃NO), a fascinating heterocyclic compound naturally present, which is a potential ligand in the construction of Metal-Organic Frameworks (MOFs) for the selective capture of CO ₂ in a nitrogen-rich atmosphere, using both molecular and solid-state simulation techniques.

Methods: This study investigates the equilibrium structures and binding energies of van der Waals aggregates formed by an Oxazole molecule with nonpolar molecules such as CO ₂ and N ₂, considering both two-body systems (Oxazole-CO ₂ and Owazole-N ₂) and three-body systems (Oxazole-CO ₂-N ₂ and Oxazole-CO ₂/N ₂-Au ₆/Cu ₆/Zn ₃O ₃). Molecular computations for these systems are conducted using ab initio calculations at the MP2/aug-cc-pVXZ level of theory, where X = (D, T). Additionally, solid-state simulations analyze the adsorption behaviors and energies of Oxazole-CO ₂ and Oxazole-N ₂ on metallic surfaces:Au, Cu and ZnO(111) through Monte Carlo methods.

Results: We find that the Oxazole exhibits more adsorption selectivity for CO ₂ than for N ₂. Adding a second gas to the most stable complexes, Oxazole-CO ₂ and Oxazole-N ₂, the Oxazole capture ability does not vary. On the contrary, it strengthens the adsorption energy of three-body complexes compared to two-body complexes. The addition of metallic clusters (Au ₆, Cu ₆, Zn ₃O ₃) and metallic surfaces (Au, Cu, ZnO) enhances the adsorption capacity, where Cu ₆ is particularly efficient. Both ZnO and Cu surfaces offer significant adsorption advantages while remaining economically feasible.

Conclusions: This study demonstrates that Oxazole exhibits a strong selectivity for CO ₂ over N ₂, with the addition of metallic clusters and surfaces significantly enhancing its adsorption capacity. These findings highlight the potential of Oxazole-based materials for effective gas capture and separation, with positive implications for environmental sustainability.

Background: Direct-to-consumer genetic testing (DTC-GT) which provides genetic information directly to the public, has become widely available at a moderate cost. Since DTC-GT companies frequently recommend that consumers consult healthcare professionals for assistance in interpreting and using genetic health risk information, this could potentially have an impact on healthcare systems.

Methods: We performed a systematic review to assess: (1) the sharing behavior of actual DTC-GT consumers, (2) experiences of healthcare professionals regarding DTC-GT consumers sharing their test results and (3) healthcare utilization following DTC-GT, with a particular focus on validation of DTC-GT results and subsequent clinical actions. Our systematic review was registered in PROSPERO under the registration number CRD42024517079.

Results: Our search identified 40 unique articles eligible for inclusion that were published between 2009 en 2022. The proportion of participants who shared their DTC-GT test results with a health care professional ranged from 1% to 57%. DTC-GT consumers most commonly reported sharing their results with a primary healthcare professional. The proportion of health care professionals that had experiences with DTC-consumers sharing their test results ranged from 19% to 76%. The percentage of participants sharing their DTC-GT test with family members ranged from 18% to 98%. More detailed analysis indicated that this was frequently the case with partners, parents, and siblings. Sharing of test results with extended family members occurred less frequently. Several studies reported on instances of DTC-GT result validation and clinical actions performed based on the DTC-GT findings.

Conclusion: Conclusion While initial concerns about the impact of DTC-GT on health care systems have not fully materialized, the increasing number of consumers consulting with healthcare professionals underscores the need for preparedness and appropriate policy responses. Future research should prioritize standardizing study methodologies and expanding investigations beyond the U.S. context to better capture the global impact of DTC-GT.