-
Koch, C.: Was ist Bewusstsein? (2020)
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- Date
- 17. 1.2020 22:15:11
-
Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
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- Date
- 22. 1.2023 18:53:32
-
Ma, L.: Information, platformized (2023)
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- Abstract
- Scholarly publications are often regarded as "information" by default. They are collected, organized, preserved, and made accessible as knowledge records. However, the instances of article retraction, misconduct and malpractices of researchers and the replication crisis have raised concerns about the informativeness and evidential qualities of information. Among many factors, knowledge production has moved away from "normal science" under the systemic influences of platformization involving the datafication and commodification of scholarly articles, research profiles and research activities. This article aims to understand the platformization of information by examining how research practices and knowledge production are steered by market and platform mechanisms in four ways: (a) ownership of information; (b) metrics for sale; (c) relevance by metrics, and (d) market-based competition. In conclusion, the article argues that information is platformized when platforms hold the dominating power in determining what kinds of information can be disseminated and rewarded and when informativeness is decoupled from the normative agreement or consensus co-constructed and co-determined in an open and public discourse.
- Date
- 22. 1.2023 19:01:47
-
Vogt, T.: ¬Die Transformation des renommierten Informationsservices zbMATH zu einer Open Access-Plattform für die Mathematik steht vor dem Abschluss. (2020)
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- Content
- "Mit Beginn des Jahres 2021 wird der umfassende internationale Informationsservice zbMATH in eine Open Access-Plattform überführt. Dann steht dieser bislang kostenpflichtige Dienst weltweit allen Interessierten kostenfrei zur Verfügung. Die Änderung des Geschäftsmodells ermöglicht, die meisten Informationen und Daten von zbMATH für Forschungszwecke und zur Verknüpfung mit anderen nicht-kommerziellen Diensten frei zu nutzen, siehe: https://www.mathematik.de/dmv-blog/2772-transformation-von-zbmath-zu-einer-open-access-plattform-f%C3%BCr-die-mathematik-kurz-vor-dem-abschluss."
-
Hottenrott, H.; Rose, M.E.; Lawson, C.: ¬The rise of multiple institutional affiliations in academia (2021)
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- Abstract
- This study provides the first systematic, international, large-scale evidence on the extent and nature of multiple institutional affiliations on journal publications. Studying more than 15 million authors and 22 million articles from 40 countries we document that: In 2019, almost one in three articles was (co-)authored by authors with multiple affiliations and the share of authors with multiple affiliations increased from around 10% to 16% since 1996. The growth of multiple affiliations is prevalent in all fields and it is stronger in high impact journals. About 60% of multiple affiliations are between institutions from within the academic sector. International co-affiliations, which account for about a quarter of multiple affiliations, most often involve institutions from the United States, China, Germany and the United Kingdom, suggesting a core-periphery network. Network analysis also reveals a number communities of countries that are more likely to share affiliations. We discuss potential causes and show that the timing of the rise in multiple affiliations can be linked to the introduction of more competitive funding structures such as "excellence initiatives" in a number of countries. We discuss implications for science and science policy.
-
Cox, A.; Fulton, C.: Geographies of information behaviour : a conceptual exploration (2022)
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- Date
- 5. 6.2022 17:20:22
-
Lee, D.J.; Stvilia, B.; Ha, S.; Hahn, D.: ¬The structure and priorities of researchers' scholarly profile maintenance activities : a case of institutional research information management system (2023)
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- Abstract
- Research information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.
- Date
- 22. 1.2023 18:43:02
-
Yu, C.; Xue, H.; An, L.; Li, G.: ¬A lightweight semantic-enhanced interactive network for efficient short-text matching (2023)
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- Date
- 22. 1.2023 19:05:27
-
Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023)
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- Abstract
- During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.
- Date
- 21. 3.2023 19:22:02
-
Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020)
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- Date
- 20. 1.2015 18:30:22
-
¬Der Student aus dem Computer (2023)
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- Date
- 27. 1.2023 16:22:55
-
Jaeger, L.: Wissenschaftler versus Wissenschaft (2020)
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- Date
- 2. 3.2020 14:08:22
-
Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023)
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- Source
- Spektrum der Wissenschaft. 2023, H.10, S.22-24
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Hobohm, H.-C.: Zensur in der Digitalität - eine Überwindung der Moderne? : Die Rolle der Bibliotheken (2020)
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-
Metz, C.: ¬The new chatbots could change the world : can you trust them? (2022)
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-
Grundlagen der Informationswissenschaft (2023)
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- Content
- Hans-Christian Jetter: B 13 Informationsvisualisierung und Visual Analytics - 295 / Melanie Siegel: B 14 Maschinelle Übersetzung - 307 / Ulrich Herb: B 15 Verfahren der wissenschaftlichen Qualitäts-/ Relevanzsicherung / Evaluierung - 317 / Thomas Mandl: B 16 Text Mining und Data Mining - 327 / Heike Neuroth: B 17 Forschungsdaten - 339 / Isabella Peters: B 18 Folksonomies & Social Tagging - 351 / Christa Womser-Hacker: C 1 Informationswissenschaftliche Perspektiven des Information Retrieval - 365 / Norbert Fuhr: C 2 Modelle im Information Retrieval - 379 / Dirk Lewandowski: C 3 Suchmaschinen - 391 / David Elsweiler & Udo Kruschwitz: C 4 Interaktives Information Retrieval - 403 / Thomas Mandl & Sebastian Diem: C 5 Bild- und Video-Retrieval - 413 / Maximilian Eibl, Josef Haupt, Stefan Kahl, Stefan Taubert & Thomas Wilhelm-Stein: C 6 Audio- und Musik-Retrieval - 423 / Christa Womser-Hacker: C 7 Cross-Language Information Retrieval (CLIR) - 433 / Vivien Petras & Christa Womser-Hacker: C 8 Evaluation im Information Retrieval - 443 / Philipp Schaer: C 9 Sprachmodelle und neuronale Netze im Information Retrieval - 455 / Stefanie Elbeshausen: C 10 Modellierung von Benutzer*innen, Kontextualisierung, Personalisierung - 467 / Ragna Seidler-de Alwis: C 11 Informationsrecherche - 477 / Ulrich Reimer: C 12 Empfehlungssysteme - 485 / Elke Greifeneder & Kirsten Schlebbe: D 1 Information Behaviour - 499 / Nicola Döring: D 2 Computervermittelte Kommunikation - 511 / Hans-Christian Jetter: D 3 Mensch-Computer-Interaktion, Usability und User Experience - 525 / Gabriele Irle: D 4 Emotionen im Information Seeking - 535 /
- Editor
- Womser-Hacker, C.
-
Petras, V.; Womser-Hacker, C.: Evaluation im Information Retrieval (2023)
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- Abstract
- Das Ziel einer Evaluation ist die Überprüfung, ob bzw. in welchem Ausmaß ein Informationssystem die an das System gestellten Anforderungen erfüllt. Informationssysteme können aus verschiedenen Perspektiven evaluiert werden. Für eine ganzheitliche Evaluation (als Synonym wird auch Evaluierung benutzt), die unterschiedliche Qualitätsaspekte betrachtet (z. B. wie gut ein System relevante Dokumente rankt, wie schnell ein System die Suche durchführt, wie die Ergebnispräsentation gestaltet ist oder wie Suchende durch das System geführt werden) und die Erfüllung mehrerer Anforderungen überprüft, empfiehlt es sich, sowohl eine perspektivische als auch methodische Triangulation (d. h. der Einsatz von mehreren Ansätzen zur Qualitätsüberprüfung) vorzunehmen. Im Information Retrieval (IR) konzentriert sich die Evaluation auf die Qualitätseinschätzung der Suchfunktion eines Information-Retrieval-Systems (IRS), wobei oft zwischen systemzentrierter und nutzerzentrierter Evaluation unterschieden wird. Dieses Kapitel setzt den Fokus auf die systemzentrierte Evaluation, während andere Kapitel dieses Handbuchs andere Evaluationsansätze diskutieren (s. Kapitel C 4 Interaktives Information Retrieval, C 7 Cross-Language Information Retrieval und D 1 Information Behavior).
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Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020)
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- Date
- 4. 5.2020 17:22:40
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Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020)
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- Date
- 4. 5.2020 17:22:28
