Universität Innsbruck - Data Repository
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Replication Files of "Ostracism and Theft in Heterogeneous Groups"
No full text<p>Replication files for the analysis of the paper "Ostracism and Theft in Heterogeneous Groups" by Alexandra Baier, Loukas Balafoutas and Tarek Jaber-Lopez</p><p>Ostracism, or exclusion by peers, has been practiced since ancient times as a severe form of punishment against transgressors of laws or social norms. The purpose of this paper is to offer a comprehensive analysis on how ostracism affects behavior and the functioning of a social group. We present data from a laboratory experiment, in which participants face a social dilemma on how to allocate limited resources between a productive activity and theft, and are given the opportunity to exclude members of their group by means of majority voting. Our main treatment features an environment with heterogeneity in productivity within groups, thus creating inequalities in economic opportunities and income. We find that exclusion is an effective form of punishment and decreases theft by excluded members once they are re-admitted into the group. However, it also leads to some retaliation by low-productivity members. A particularly worrisome aspect of exclusion is that punished group members are stigmatized and have a higher probability of facing exclusion again. We discuss implications of our findings for penal systems and their capacity to rehabilitate prisoners.</p>
MS_Lumos_2020_February
No full text<p>MS Raw Data collected at Obitrap Fusion Lumos in February 2020 at the Institute of Biochemistry, University of Innsbruck</p><p>This record contains Proteomics of Alienke van Pijkeren (UIBK) & Yang Zhang (UIBK) & Bettina Tschugg/Hartwig(UIBK) and mTOR interactome(UIBK) & Proteomics Christiana Optitz (DKFZ), and Metabolite measurements (M. Hotze, UIBK) & Direct Infusion (Tobi).</p>
MS_Lumos_2019_July
No full text<p>MS Raw Data collected at Obitrap Fusion Lumos in July 2019 at the Institute of Biochemistry, University of Innsbruck</p>
MATURITY MODEL FOR DIGITAL BUSINESS ECOSYSTEMS FROM AN IT PERSPECTIVE - APPENDIX
No full text<p>Digital transformation impacts longstanding business models and enables enterprises to create new ones. This transformation leads to increased competition that forces enterprises to compete, not only between companies but also between the entire supply chain and business networks. The emerging concept of digital business ecosystems (DBE) allows enterprises to concentrate on network co-creation and co-evolution of bundled services and products across enterprise boundaries. This exploratory study introduces a maturity model derived from existing DBEs. Based on employing a design science methodology, we reviewed 22 scientific publications, interviewed 28 senior experts from practice and derived a maturity model from the results. We applied the maturity model through an online survey to 29 DBEs from different industry sectors and compared it with 22 maturity assessment approaches from other domains. The maturity model enables researchers to compare and assess existing DBEs and helps practitioners to identify areas for improvement in the collaboration within DBEs.</p>
MS_Lumos_2020_April
No full text<p>MS Raw Data collected at Obitrap Fusion Lumos in April 2020 at the Institute of Biochemistry, University of Innsbruck</p><p>This record contains Proteomics of Marcel Kwiatkowski (UIBK) & AcylCoAs (M. Hotze UIBK) & Metabolite measurements (M. Hotze, UIBK).</p>
FAIRe Forschungsinfrastruktur an Institutionen am Beispiel der Universität Innsbruck
No full text<p>Präsentationsfolien von dem Webinar "FAIRe Forschungsinfrastruktur an Institutionen am Beispiel der Universität Innsbruck", dass am 22.2. 2022, 10:00 to 11:00, online als Teil der Webinarreihe "Forschungsdatenmanagement in Österreich" stattgefunden hat.<br><br>Thomas Haselwanter gibt im Webinar einen Einblick, wie ein zentraler Hub (VIVO) zum Bindeglied zwischen Legacy-Systemen und zukünftigen Systemen der Forschungsinfrastruktur verwendet werden kann.<br><br>Im Vortrag ging er auf diese Prozesse ein und teilte seine Learnings:<br><br>- Erstellung eines Research Graph Meta Modells für die Universität Innsbruck<br>- Festlegen internationaler Standards für das Datenmodell (OpenAIRE, CERIF)<br>- Implementierung von VIVO als zentraler Hub<br>- Anreicherung von Metadaten und persistenten Identifikatoren (u. a. ORCID, DOIs) </p>
HS-731: In vitro opioid receptor selectivtiy
No full text<p><span>The dataset contains </span><span>experimental in vitro pharmacological data on HS-731 binding to the nociceptin NOP receptor, </span><span>presented in the study “</span><span>Mechanistic Characterization of the Pharmacological Profile of HS-731, a Peripherally Acting Opioid Analgesic, at the µ-, </span><span>δ</span><span>-, </span><span>κ</span><span>-Opioid and Nociceptin Receptors.” (doi: 10.3390/molecules27030919).</span></p>