Articles

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Datenzugang.

Hoffstätter, U., & Linne, M. (2022).
Datenzugang. Einführung in das Thema Zugang zu Daten der Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften in Forschungsdatenzentren. KonsortSWD Working Paper 2022 (4). Berlin: Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). https://www.doi.org/10.5281/zenodo.7347064

Exploiting views for collaborative research data management of structured data.

Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022).
Exploiting views for collaborative research data management of structured data. In Y.-H. Tseng, M. Katsurai, & H. N. Nguyen (Hrsg.), ICADL 2022: From born-physical to born-virtual: Augmenting intelligence in digital libraries. (S. 360-376). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-21756-2_28

The effects of response burden – collecting life history data in a self-administered mixed-device survey.

Carstensen, J., Lang, S., & Cordua, F. (2022).
The effects of response burden – collecting life history data in a self-administered mixed-device survey. Journal of Official Statistics, 38(4), 1069-1095. https://doi.org/10.2478/jos-2022-0046
Abstract

Collecting life history data is highly demanding and therefore prone to error since respondentsmust retrieve and provide extensive complex information. Research has shown that responseburden is an important factor influencing data quality. We examine whether increases indifferent measures of response burden in a (mixed-device) online survey lead to adverseeffects on the data quality and whether these effects vary by the type of device used (mobileversus non-mobile).

Competency requirements in research information management and reporting: evidence from a national survey in Germany.

Schelske, S., & Thiedig, C. (2022).
Competency requirements in research information management and reporting: evidence from a national survey in Germany. Procedia Computer Science (211), 141-150. https://doi.org/10.1016/j.procs.2022.10.186

Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS.

Azeroual, O., Schöpfel, J., Ivanovic, D., & Nikiforova, A. (2022).
Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 3-16). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.171

UCRP-miner: Mining patterns that matter.

Darrab, S., Broneske, D., & Saake, G. (2022).
UCRP-miner: Mining patterns that matter. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), Proceedings of the 5th International Conference on Data Science and Information Technology (DSIT) (S. 1-7). New York, United States: IEEE. https://doi.org/10.1109/DSIT55514.2022.9943880

Research Information Systems and Ethics relating to Open Science.

Schöpfel, J., Azeroual, O., & de Castro, P. (2022).
Research Information Systems and Ethics relating to Open Science. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 36-46). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.174

Tell me why it’s fake: Developing an explainable user interface for a fake news detection system.

Shahania, S., Purificato, E., & William De Luca, E. (2022).
Tell me why it’s fake: Developing an explainable user interface for a fake news detection system. In CEUR Workshop Proceedings (Hrsg.), Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it 2022). Udine, Italy: CEUR.
Abstract

In this paper, we present the design and development of an explainable user interface for a fake news detection system. The problem of distinguishing real from fake articles gained a lot of popularity in the last few years, mainly due to the soaring diffusion of social networks and internet bots as means for propaganda and disinformation sharing. By leveraging various explainability methods, i.e. feature importance, partial dependence plots and SHAP values, we aim to show how the combination of different techniques embedded in an interactive user interface can lead to enhance trust in a detection system for a non-expert user, such as a fact-checker or a content manager. Through several examples, we describe all the explainability component

Legal aspects and data protection in relation to the CRIS system.

Zendulková, D., & Azeroual, O. (2022).
Legal aspects and data protection in relation to the CRIS system. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 17-27). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.172

Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies.

Donner, P. (2022).
Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies. Journal of Library and Information Studies, 20(2), 75-93.
Abstract

This paper discusses drawbacks of the percentile rank method for citation impact normalization which have hitherto been neglected in the bibliometrics literature. The transformation of citation counts to percentile ranks changes ratio scale data into ordinal scale data, for which the notions of the ratio between two values and of the magnitude of a difference between two values are not defined – a substantial loss of information. This distorts citation data particularly severely because the differences between citation counts adjacent in order in publication sets are greater for more highly cited publications and because highly cited publications are more scarce than non-highly cited ones. [...]

Management von Forschungsinformationen in Hochschulen und Forschungseinrichtungen - Eine Standortbestimmung 2022.

Beucke, D., Biesenbender, S., Ebert, B., Friedrichsen, E., Hauschke, C., ... & Tobias, R. (2022).
Management von Forschungsinformationen in Hochschulen und Forschungseinrichtungen - Eine Standortbestimmung 2022. DINI Schriften 22 -de. Göttingen: Deutsche Initiative für Netzwerkinformation e. V. (DINI). https://doi.org/10.18452/25440

Der Grundsatz der Ausschreibungsfreiheit der Eigenerledigung – Zur primär- und verfassungsrechtlichen Fundierung eines der wettbewerblichen Strukturierung entzogenen Bereichs staatlicher Aufgabenerfüllung im Vergabe-, Kartell- und Beihilfenrecht.

Eisentraut, N. (2022).
Der Grundsatz der Ausschreibungsfreiheit der Eigenerledigung – Zur primär- und verfassungsrechtlichen Fundierung eines der wettbewerblichen Strukturierung entzogenen Bereichs staatlicher Aufgabenerfüllung im Vergabe-, Kartell- und Beihilfenrecht. Europäische Zeitschrift für Wirtschaftsrecht (EuZW), 2022(21), 981-986.
Abstract

In the area of public sector self-management, there is no call for tenders, and public procurement law does not apply. This „principle of the freedom from tender for self-management“ appears directly accessible at first glance. However, the principle is difficult to apply in legal practice. How far it exempts entities within the public sector from competitive tendering is the subject of constant dispute. This is made more difficult by the fact that the principle has not yet had a solid foundation in primary and constitutional law that could guide the discussion about its scope. The article explores the origin of the principle and substantiates it in terms of primary and constitutional law.

A collaborative learning environment using blogs in a learning management system.

Obionwu, V., Broneske, D., & Saake, G. (2022).
A collaborative learning environment using blogs in a learning management system. In T. Zlateva & R. Goleva (Hrsg.), Computer Science and Education in Computer Science (CSECS 2022). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer. https://doi.org/10.1007/978-3-031-17292-2_18

Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness.

Azeroual, O., Schöpfel, J., Pölönen, J., & Nikiforova, A. (2022).
Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. In J. Bernardino, E. Masciari, C. Rolland, & J. Filipe (Hrsg.), Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS, October 24-26, 2022, in Valletta, Malta (S. 63-71). Lisboa - Portugal: Institute for Systems and Technologies of Information, Control and Communication (INSTICC) - **Best Paper Award**. https://doi.org/10.5220/0011548700003335

Induced Abortion and Life Satisfaction in Germany: The Role of Selection Processes and Short-Term Effects.

Huss, B., & Kaiser, F. (2022).
Induced Abortion and Life Satisfaction in Germany: The Role of Selection Processes and Short-Term Effects. Zeitschrift für Soziologie, 51(4), 404-419. https://doi.org/10.1515/zfsoz-2022-0022

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Anja Gottburgsen
Dr. Anja Gottburgsen +49 511 450670-912