-
Koch, C.: Was ist Bewusstsein? (2020)
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- Date
- 17. 1.2020 22:15:11
- Source
- Spektrum der Wissenschaft. 2020, H.2, S.12-17
-
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.
-
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
-
Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023)
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- Source
- Spektrum der Wissenschaft. 2023, H.10, S.22-24
-
Krattenthaler, C.: Was der h-Index wirklich aussagt (2021)
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- Abstract
- Diese Note legt dar, dass der sogenannte h-Index (Hirschs bibliometrischer Index) im Wesentlichen dieselbe Information wiedergibt wie die Gesamtanzahl von Zitationen von Publikationen einer Autorin oder eines Autors, also ein nutzloser bibliometrischer Index ist. Dies basiert auf einem faszinierenden Satz der Wahrscheinlichkeitstheorie, der hier ebenfalls erläutert wird.
- Content
- Vgl.: DOI: 10.1515/dmvm-2021-0050. Auch abgedruckt u.d.T.: 'Der h-Index - "ein nutzloser bibliometrischer Index"' in Open Password Nr. 1007 vom 06.12.2021 unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzM3NCwiZDI3MzMzOTEwMzUzIiwwLDAsMzQ4LDFd.
- Object
- h-index
- Source
- Mitteilungen der Deutschen Mathematiker-Vereinigung. 2021, H.3, S.124-128
-
Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021)
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- Biographed
- Maturana, H.
- Date
- 7. 5.2021 22:10:24
-
Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023)
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- Source
- Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
-
Zhao, Y.(C.); Du, J.T.; Pang, N.; Raju, J.; Yan, H.: JASIST special issue on ICT4D and intersections with the information field : guest editorial (2023)
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-
Pöppe, C.: ¬Die Welt ist klein (2023)
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- Source
- Spektrum der Wissenschaft. 2023, H.9, S.58-69
-
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
-
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).
-
Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021)
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- Date
- 22. 1.2021 14:38:21
- Source
- Information - Wissenschaft und Praxis. 72(2021) H.1, S.10-18
-
Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023)
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- Date
- 29.12.2022 18:22:55
- Source
- c't. 2023, H.1, S.46- [https://www.heise.de/select/ct/2023/1/2233908274346530870]
-
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
-
Reichmann, G.; Schlögl, C.: Möglichkeiten zur Steuerung der Ergebnisse einer Forschungsevaluation (2021)
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- Source
- Information - Wissenschaft und Praxis. 72(2021) H.4, S.212-220
-
Herb, U.; Geith, U.: Kriterien der qualitativen Bewertung wissenschaftlicher Publikationen : Befunde aus dem Projekt visOA (2020)
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- Abstract
- Dieser Beitrag beschreibt a) die Ergebnisse einer Literaturstudie zur qualitativen Wahrnehmung wissenschaftlicher Publikationen, b) die Konstruktion eines daraus abgeleiteten Kriterienkatalogs zur Wahrnehmung der Qualität wissenschaftlicher Publikationen sowie c) der Überprüfung dieses Katalogs in qualitativen Interviews mit Wissenschaflterinnen und Wissenschaftlern aus dem Fachspektrum Chemie, Physik, Biologie, Materialwissenschaft und Engineering. Es zeigte sich, dass die Wahrnehmung von Qualität auf äußerlichen und von außen herangetragenen Faktoren, inhaltlichen / semantischen Faktoren und sprachlichen, syntaktischen sowie strukturellen Faktoren beruht.
- Source
- Information - Wissenschaft und Praxis. 71(2020) H.2/3, S.77-85
-
Bräu, R.; Hofmann, K.; Nilson, S.; Zwilling-Seidenstücker, C.: #EveryNameCounts : Die Crowdsourcing-Initiative der Arolsen Archives (2021)
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- Source
- Information - Wissenschaft und Praxis. 72(2021) H.4, S.177-184
-
Hobohm, H.-C.: Theorien in der Informationswissenschaft (2023)
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- Abstract
- Die zentrale Frage in diesem Kapitel ist, welchen Einfluss Theoriediskussion, Theorieimport und Theoriebildung auf die Informationswissenschaft als Disziplin haben und ob es Theorieentwicklungen, d. h. also eigentlich Paradigmenwechsel gibt, die eine Richtung für ihre Weiterentwicklung geben können. Für eine Disziplin ist Theoretisieren so wichtig wie für einen Schachspieler das Überlegen seiner Spielstrategie (Hassan, Mathiassen & Lowry 2019, S. 200): "Wissenschaften entstehen dort, wo sie Theorien vonnöten haben." (Jahraus, 2011, S. 30) - denn sie decken nicht nur ihre Untersuchungsobjekte auf, sondern auch deren Bruchstellen und uneingestandenen Prämissen. Dieser Herausforderung sollte sich die Informationswissenschaft stellen.
