Publikationen
839 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-210 211-225 226-240 241-255 256-270 271-285 286-300 301-315 316-330 331-345 346-360 361-375 376-390 391-405 406-420 421-435 436-450 451-465 466-480 481-495 496-510 511-525 526-540 541-555 556-570 571-585 586-600 601-615 616-630 631-645 646-660 661-675 676-690 691-705 706-720 721-735 736-750 751-765 766-780 781-795 796-810 811-825 826-839
Wissenschaftskulturen in Deutschland.Ploder, M., Müller, R., & Blümel, C. (2023).Wissenschaftskulturen in Deutschland. Eine Studie im Auftrag der VolkswagenStiftung. Hannover: VolkswagenStiftung. Abstract
Die VolkswagenStiftung baut einen neuen Profilbereich „Wissen über Wissen“ auf, mit dem sie Impulse zur strukturellen Verbesserung von Wissenschaft in Deutschland geben wird. Im Rahmen des Projekts „Wissenschaftskulturen in Deutschland“ wurde untersucht, wie Wissenschaftler*innen in verschiedenen Forschungsfeldern das Arbeiten und Leben am Wissenschaftsstandort Deutschland wahrnehmen und welche Möglichkeiten und Herausforderungen sie für Wissenschaftskulturen in Deutschland ausmachen. Ziel war es, eine aktuelle Zustands- und Problembeschreibung zu erarbeiten, aus der sich Ideen für die Fördertätigkeit der Stiftung sowie für einen positiven Wandel in den Wissenschaftskulturen in Deutschland ableiten lassen.
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Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines.Aman, V., & Sorgatz, N. (2023).Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). https://doi.org/10.55835/644169a0565e92f0541abf8d |
Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality.Stephen, D. (2023).Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality. In L. Waltman, K. H. Lai, B. Murat, J. Wang, V. Weimer, E. Noyons, & M. Luwel (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Netherlands: orvium.io. https://doi.org/10.55835/644245cb8e703ddb4dc07eda |
Market selection and learning under model misspecification.Bottazzi, G., Giachini, D., & Ottaviani, M. (2023).Market selection and learning under model misspecification. Journal of Economic Dynamics and Control2023. https://www.sciencedirect.com/science/article/pii/S0165188923001458 (Abgerufen am: 12.09.2023). Abstract
The paper explores market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Standard Bayesian learning loses formal justification, and biased learning processes may provide a selection advantage. The ecology of traders in the market affects selection dynamics and long-run asset valuation. Model misspecification makes it difficult to rank learning behaviors based on survival prospects. Prediction averaging has an advantage when the true data generating process belongs to the same family of models, but this advantage disappears when the true model belongs to a more general class. Rules guaranteeing survival exploit imitative mechanisms. |
What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation.Thelwall, M., Simrick, S., Viney, I., & van den Besselaar, P. (2023).What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation. Scientometrics , 128, 6085-6106. Abstract
Evaluating the effects of some or all academic research funding is difficult because of the many different and overlapping sources, types, and scopes. It is therefore important to identify the key aspects of research funding so that funders and others assessing its value do not overlook them. This article outlines 18 dimensions through which funding varies substantially, as well as three funding records facets. |
FAIRification of CRIS: A Review.Azeroual, O., Schöpfel, J., Pölönen, J., & Nikiforova, A. (2023).FAIRification of CRIS: A Review. In F. Coenen, A. Fred, J. Bernardino, E. Masciari, & J. Filipe (Hrsg.), Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer. https://doi.org/10.1007/978-3-031-43471-6_13 |
Defining Transparency: A Functional Approach.Cruz Romero, R. (2023).Defining Transparency: A Functional Approach. JeDEM - EJournal of EDemocracy and Open Government, 15(1), 219-242. https://doi.org/10.29379/jedem.v15i1.714 Abstract
This reflection piece seeks to tackle this blurriness and advance the concept’s analytical precision by presenting and discussing transparency’s main dimensions, as well as its framing within the scholarly body of good governance, democracy, and development. To do so, the reflection paper presents a novel approach; to define transparency in the form of a function (which places transparency in relation to, and as a function) of its two constituting dimensions: a) information (timely and qualitative), and b) accountability mechanisms (namely, a free media environment and legitimate accountability channels). |
The Field-Specificity of Open Data Practices.Velden, T., & Tcypina, A. (2023).The Field-Specificity of Open Data Practices. In International Conference on Science (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Niederlande: ovium.io. https://doi.org/10.55835/64b14ef741aa5b443685f9d3 Abstract
Increasingly, researchers are expected to make their research data openly available. However, scientific fields differ in their research practices and norms for sharing research data. We provide quantitative evidence of differences in data practices and the public sharing of research data at a granularity of field-specificity that is rarely reported in open data surveys. Based on a survey of 8,822 researchers at German Universities, we find considerable variation, within and across disciplines, of data practices and rates of open data sharing. Our findings underline that in order to evaluate rates of public data sharing, a better understanding of the embedding of public data sharing into field-specific research practices is needed. |
Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data.Azeroual, O., Nacheva, R., Nikiforova, A., Störl, U., & Fraisse, A. (2023).Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data. CompSysTech '23: Proceedings of the 24th International Conference on Computer Systems and Technologies, 2023, 42-53. https://doi.org/10.1145/3606305.3606309 |
10 Ethical Dimensions of Research Information Management: A New Challenge for Information Professionals.Schöpfel, J., & Azeroual, O. (2023).10 Ethical Dimensions of Research Information Management: A New Challenge for Information Professionals. In M. C. Fombad, C. T. Chisita, O. B. Onyancha, & M. K. Minishi-Majanja (Hrsg.), Information Services for a Sustainable Society: Current Developments in an Era of Information Disorder (S. 150-165). Berlin, Boston: De Gruyter Saur. https://doi.org/10.1515/9783110772753-012 |
Are there gender differences in the number of research proposals submitted?Möller, T. (8. August 2023).Are there gender differences in the number of research proposals submitted [Blogbeitrag]. Abgerufen von https://www.granted-project.eu/blogpost-9-are-there-gender-differences-in-the-number-of-research-proposals-submitted/ |
Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication.Azeroual, O., Nikiforova, A., & Sha, K. (2023).Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication. 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), Valencia, Spain, 19-22 June 2023., 65-73. https://doi.org/10.1109/ICCNS58795.2023.10193478 |
Determinants of cognitive mobility.Mom, C., Möller, T., & van den Besselaar, P. (2023).Determinants of cognitive mobility. In ISSI (Hrsg.), Proceedings of ISSI 2023 - the 19th International Conference of the International Society of Scientometrics and Informetrics (ISSI 2023). Bloomington, United States: International Society for Scientometrics and Informetrics. |
Confounding cross-correlation: A meta-analysis of the association between citations and altmetrics.Stephen, D., & Stahlschmidt, S. (2023).Confounding cross-correlation: A meta-analysis of the association between citations and altmetrics. In ISSI (Hrsg.), Proceedings of ISSI 2023 – the 19th International Conference of the International Society for Scientometrics and Informetrics (S. 449-454). Bloomington, United States: International Society for Scientometrics and Informetrics. |
Mining the History Sections of Wikipedia Articles on Science and Technology.Kircheis, W., Schmidt, M., Simons, A., Stein, B., & Potthast, M. (2023).Mining the History Sections of Wikipedia Articles on Science and Technology. 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), 23 (online first). |
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