The purpose of the study is to highlight perceptions about data literacy among employees at Luleå University professional services and institutions. The purpose is motivated on the report that the University Library in Luleå wrote in 2018, a report that shows a discrepancy between the national vision of open research data and the actual research data management at Luleå University of Technology. The university employees' perceptions about the issue can be seen as a current situation description at Luleå University of Technology, but also as a starting point for future discussions about educating data literacy at Luleå University of Technology. The theoretical foundat-ion of the study is social constructionist and is within the socio-cultural perspective formation in which Roger Säljö's interpretations of literature and learning are in focus. The study shows that there are perceptions that express the need for education in data literacy, but also that there are intra-institutional problems regarding get-ting time and space for the education and that there is a demand for a greater collaboration between libraries and institutions on the issue. This is a two years master’s thesis in Library and Information Science.

No description available.

The thesis deals with openness in the scientific practice and discusses in detail the concept of open science. Apart from theoretical part dedicated to description of science, traditional model of scholarly communication, and initial ideas of openness, thesis summarizes the approaches of particular open science schools of thought and introduces specific tools, initiatives and methods enabling the idea of openness to become reality. Practical part of thesis focuses on description of current state of open science in the Czech Republic and by using the Future wheel prognostic method offers visualization of the future development in science and society, further specifies possible consequences of implementing the concept of open science into practice and defines opportunities and risks of the second scientific revolution.

Am Ende der Dresden Summer School 2012 haben die Teilnehmerinnen und Teilnehmer eigene Ideen und Impulse zur Zukunft der Vernetzung von Kultur- und Wissenschaftseinrichtungen vorgestellt. Claudia Becker, wissenschaftliche Mitarbeiterin am Vilém Flusser Archiv der Universität der Künste Berlin, ist an neuen Wegen der Wissens- und Kulturvermittlung mit digitalen Technologien interessiert. Wissen, Wissenssammlungen und Wissensordnungen haben sich im Laufe der Jahre verändert, ebenso wie die Wissensproduktion, die Schaffung neuen Wissens, die Wissenschaft selbst. Der Baum des Wissens, „arbor porphyriana“ oder auch „arbor scientiae“ war seit der Antike eine gültige Metapher und das Klassifikationsschema für die Struktur des Wissen, die epistemologische Ordnung. So lehnte auch Denis Diderot die Ordnung seiner berühmten Enzyklopädie an die Baumstruktur des Wissens von Francis Bacon an. Wohl wissend, dass Wissen Macht ist, widmeten Diderot und seine Enzyklopädisten einen großen Teil ihrer Lebenszeit, um das Wissen aus allen Bereichen der Welt zu sammeln und aller Welt zugänglich zu machen. Diderot nutzte somit damals schon die Intelligenz des Schwarmes, seine Enzyklopädie ist ein Produkt des „Crowd Sourcing“, eines kollektiven Verbundes mehrerer Autoren, die gemeinsam an einem Werk schreiben, um Wissen im Namen der Aufklärung den Herrschenden zu entreißen und möglichst vielen zugänglich zu machen. Die Parallelen zu einem der heutigen größten und bedeutendsten Wissensprojekte – der Internet-Enzyklopädie Wikipedia – sind unverkennbar. [...]

Current practices in study design and data analysis have led to low reproducibility and replicability of findings in fields such as psychology, medicine, biology, and economics. Because gifted education research relies on the same underlying statistical and sociological paradigms, it is likely that it too suffers from these problems. This article discusses the origin of the poor replicability and introduces a set of open science practices that can increase the rigor and trustworthiness of gifted education’s scientific findings: preregistration, open data and open materials, registered reports, and preprints. Readers are directed to Internet resources for facilitating open science. To model these practices, a pre peer-review preprint of this article is available at https://psyarxiv.com/nhuv3/.

In diesem 'Snack' stellen wir SaxFDM - die Sächsische Landesinitiative für Forschungsdatenmanagement - und deren Serviceangebote vor.

During the early stages of any epidemic, simple interventions such as quarantine and isolation may be sufficient to halt the spread of a novel pathogen. However, should this opportunity be missed, substantially more resource-intensive, complex, and societally intrusive interventions may be required to achieve an acceptable outcome. These disparities place a differential on the value of a given unit of knowledge across the time-domains of an epidemic. Within this dissertation we explore these value-differentials via extension of the business concept of the time-value of knowledge and propose the C4 Response Model for organizing the research response to novel pathogenic outbreaks. First, we define the C4 Response Model as a progression from an initial data-hungry collect stage, iteration between open-science-centric connect stages and machine-learning centric calibrate stages, and a final visualization-centric convey stage. Secondly we analyze the trends in knowledge-building across the stages of epidemics with regard to open and closed access article publication, referencing, and citation. Thirdly, we demonstrate a Twitter message mapping application to assess the virality of tweets as a function of their source-profile category, message category, timing, urban context, tone, and use of bots. Finally, we apply an agent-based model of influenza transmission to explore the efficacy of combined antiviral, sequestration, and vaccination interventions in mitigating an outbreak of an influenza-like-illness (ILI) within a simulated military base population. We find that while closed access outbreak response articles use more recent citations and see higher mean citation counts, open access articles are published and referenced in significantly greater numbers and are growing in proportion. We observe that tweet viralities showed distinct heterogeneities across message and profile type pairing, that tweets dissipated rapidly across time and space, and that tweets published before high-tweet-volume time periods showed higher virality. Finally, we saw that while timely responses and strong pharmaceutical interventions showed the greatest impact in mitigating ILI transmission within a military base, even optimistic scenarios failed to prevent the majority of new cases. This body of work offers significant methodological contributions for the practice of computational epidemiology as well as a theoretical grounding for the further use of the C4 Response Model. / Doctor of Philosophy / During the early stages of an outbreak of disease, simple interventions such as isolating those infected may be sufficient to prevent further cases. However, should this opportunity be missed, substantially more complex interventions such as the development of novel pharmaceuticals may be required. This results in a differential value for specific knowledge across the early, middle, and late stages of epidemic. Within this dissertation we explore these differentials via extension of the business concept of the time-value of knowledge, whereby key findings may yield greater benefits during early epidemics. We propose the C4 Response Model for organizing research regarding this time-value. First, we define the C4 Response Model as a progression from an initial knowledge collection stage, iteration between knowledge connection stages and machine learning-centric calibration stages, and a final conveyance stage. Secondly we analyze the trends in knowledge-building across the stages of epidemics with regard to open and closed access scientific article publication, referencing, and citation. Thirdly, we demonstrate a Twitter application for improving public health messaging campaigns by identifying optimal combinations of source-profile categories, message categories, timing, urban origination, tone, and use of bots. Finally, we apply an agent-based model of influenza transmission to explore the efficacy of combined antiviral, isolation, and vaccination interventions in mitigating an outbreak of an influenza-like-illness (ILI) within a simulated military base population. We find that while closed access outbreak response articles use more recent citations and see higher mean citation counts, open access articles are growing in use and are published and referenced in significantly greater numbers. We observe that tweet viralities showed distinct benefits to certain message and profile type pairings, that tweets faded rapidly across time and space, and that tweets published before high-tweet-volume time periods are retweeted more. Finally, we saw that while early responses and strong pharmaceuticals showed the greatest impact in preventing influenza transmission within military base populations, even optimistic scenarios failed to prevent the majority to new cases. This body of work offers significant methodological contributions for the practice of computational epidemiology as well as a theoretical grounding for the C4 Response Model.

In diesem Beitrag stellen wir die aktuellen Möglichkeiten der Open-Access-Publikationsunterstützung für Angehörige der TU Bergakademie Freiberg (TUBAF) vor und präsentieren eine Statistik zum Open-Access-Publizieren an der TUBAF für die Jahre 2014-2023.

»Fake Science« ist eine von vielen Bezeichnungen für gefälschte oder manipulierte Wissenschaft. Wie andere Begriffe, die auf das Attribut »Fake« zurückgreifen, ist auch dieser jüngst von Umdeutungen betroffen. So machte sich die breit inszenierte Medienberichterstattung des Jahres 2018 zu unseriösen Zeitschriftenverlagen den Fake-Science-Begriff für das Phänomen »Predatory Publishing« großzügig zu eigen. Diese rhetorische Aneignung trägt zu sprachlicher Unschärfe bei, lenkt vom Kern des Problems ab und macht den Begriff für seine politische Vereinnahmung anfällig. In Bibliotheken sind die Kompetenzen vorhanden, sowohl gegen die angesprochenen Phänomene im wissenschaftlichen Publikationssystem selbst etwas zu tun als auch solche terminologischen Nebelkerzen zu löschen. / »Fake science« is one of many names for bogus or manipulated science. Like other terms that use the attribute »fake«, it has recently been subject to misinterpretation. For example, the broad media coverage of the year 2018 on dubious journal publishers generously adopted the »fake science« term for the phenomenon known as »predatory publishing«, which is, however, a very different problem. This rhetorical appropriation contributes to terminological imprecision, distracts from the core of the problem and makes the term vulnerable to political usurpation. Academic libraries have the competence not only to do something about the phenomena addressed in the academic publication system itself, but also to remove such terminological smoke candles.

Die Qualitätssicherung von Forschungsdaten ist im Kontext offener Wissenschaft ein wichtiges Thema. Sollen geteilte Daten dabei unterstützen, Forschungsergebnisse nachzuvollziehen und die Nachnutzung von Daten ermöglicht werden, bestehen entsprechende Anforderungen an ihre Qualität. Bei Datenqualität und Qualitätssicherung im Kontext von Datenpublikationen handelt es sich allerdings um komplexe und divers verwendete Konzepte. Bislang wird die Qualitätssicherung von Datenpublikationen punktuell ausführlich beschrieben, jedoch fehlt eine Betrachtung, die die möglichen Maßnahmen systematisch beschreibt. Darüber, wie einzelne Maßnahmen bei Repositorien verbreitet sind, ist ebenfalls kaum etwas bekannt. In der Dissertation wird herausgearbeitet, wie Qualität und Qualitätssicherung für Forschungsdaten definiert und systematisiert werden können. Auf dieser Basis wird ein theoretischer Ansatz für die Systematisierung qualitätssichernder Maßnahmen erarbeitet. Er dient als Grundstruktur für die Untersuchung von Data Journals und Repositorien. Dazu werden Guidelines von 135 Data Journals und Zertifizierungsdokumente von 99 Repositorien analysiert, die das Zertifikat CoreTrustSeal in der Version 2017–2019 erhalten haben. Die Analysen zeigen, wie Datenqualität in Data Journal Guidelines und durch Repositorien definiert wird und geben einen Einblick in die Praxis der Qualitätssicherung bei Repositorien. Die Ergebnisse bilden die Grundlage für eine Umfrage zur Verbreitung qualitätssichernder Maßnahmen, die auch offene Prozesse der Qualitätssicherung, Verantwortlichkeiten und die transparente Dokumentation der Datenqualität berücksichtigt. An der Umfrage im Jahr 2021 nahmen 332 Repositorien teil, die im Verzeichnis re3data indexiert sind. Die Ergebnisse der Untersuchungen zeigen den Status quo der Qualitätssicherung und die Definition von Datenqualität bei Data Journals und Forschungsdatenrepositorien auf. Sie zeigen außerdem, dass Repositorien mit vielfältigen Maßnahmen zur Qualitätssicherung von Datenpublikationen beitragen. Die Ergebnisse fließen in ein Framework für die Qualitätssicherung von Datenpublikationen in Repositorien ein. / Quality assurance of research data is an important issue in open science. To enable transparency in research and data reuse, shared data have to meet quality requirements. However, the concepts of data quality and quality assurance are ubiquitous, yet elusive. Quality assurance practices have been researched for data publications in Data Journals, but not systematically for research data repositories. This dissertation elaborates how quality and quality assurance for research data can be defined and systematized. On this basis, a theoretical approach for quality assurance is developed. It is used for the analysis of quality assurance practices at data journals and research data repositories. For this purpose, guidelines of 135 data journals and certification documents of 99 repositories that have received the CoreTrustSeal certificate 2017–2019 are investigated. The analyses show how data quality is defined in data journal guidelines and by repositories and provide insight into repository quality assurance practices. The results informed a questionnaire that aims at analyzing prevalence of data quality assurance at research data repositories. The survey also covered aspects such open measures of quality assurance, responsibilities and transparent quality documentation. 332 repositories indexed in the re3data registry participated in the 2021 online survey. The results of this dissertations analyses indicate the status quo of quality assurance measures and definitions of data quality at data journals and research data repositories. Furthermore, they also show that repositories contribute to the quality assurance of data publications with a variety of measures. The results are incorporated into a framework for quality assurance of data publications at research data repositories.