14. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1994.
Middendorff, E., & Wallis, M. (2021). 14. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1994. Hannover: DZHW.
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FAIR Research Data Management for Learning Analytics.
Wolff, I., Broneske, D., & Köppen, F. (2021). FAIR Research Data Management for Learning Analytics. In Lingnau, A. (Hrsg.), Proceedings of DELFI Workshops 2021 (S. 158-163). Dortmund: Hochschule Ruhr West 2021.
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Opening up and Sharing Data from Qualitative Research: A Primer.
Steinhardt, I., Fischer, C., Heimstädt, M., Hirsbrunner, S. D., İkİz-Akıncı, D., ... & Wünsche, H. (2021). Opening up and Sharing Data from Qualitative Research: A Primer. Results of a workshop run by the research group „Digitalization and Science“ at the Weizenbaum Institute in Berlin on January 17, 2020 with research data centre staff and scientists of the Free Knowledge Fellow Program. Berlin: Rat für Sozial- und Wirtschaftsdaten (RatSWD). https://doi.org/10.17620/02671.63
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DZHW-Absolventenpanel 2013.
Hoffstätter, U., Niebuhr, J., & Vietgen, S. (2021). DZHW-Absolventenpanel 2013. Daten- und Methodenbericht zur Absolvent*innenkohorte 2013 (1. und 2. Befragungswelle). Hannover: FDZ-DZHW.
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15. Sozialerhebung.
Middendorff, E., & Wallis, M. (2021). 15. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1997. Hannover: FDZ-DZHW.
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DZHW-Studienberechtigtenpanel 2012.
Schneider, H., Vietgen, S., & Wallis, M. (2021). DZHW-Studienberechtigtenpanel 2012. Daten- und Methodenbericht zu den Erhebungen des Studienberechtigtenjahrgangs 2012 (1. und 2. Befragungswelle). Hannover: FDZ-DZHW.
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Opening up and Sharing Data from Qualitative Research: A Primer.
Steinhardt, I., Fischer, C., Heimstädt, M., Hirsbrunner, S. D., İkİz-Akıncı, D., ... & Wünsche, H. (2021). Opening up and Sharing Data from Qualitative Research: A Primer. Berlin: Weizenbaum Institute for the Networked Society - The German Internet Institute. https://doi.org/10.34669/WI.WS/17
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In-Depth Analysis of OLAP Query Performance on Heterogeneous Hardware.
Broneske, D., Drewes, A., Gurumurthy, B., Hajjar, I., Piontek, T., & Saake, G. (2021). In-Depth Analysis of OLAP Query Performance on Heterogeneous Hardware. Datenbank-Spektrum, 21, 133-143. https://doi.org/10.1007/s13222-021-00384-w
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3D Animation of Single Stage Batch Distillation for Distance Learning.
Vorhauer, N., Mathew, P., Gunasekaran, H., Do, M., Thalakkotoor, S., ... & Broneske, D. (2021). 3D Animation of Single Stage Batch Distillation for Distance Learning. In IATED Academy (Hrsg.), EDULEARN21 Proceedings (S. 476-483). Valencia, Spain: IATED Academy. https://doi.org/10.21125/edulearn.2021.0146
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16. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 2000.
Middendorff, E., & Wallis, M. (2021). 16. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 2000. Hannover: DZHW.
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StuMa: Ursachen der Studienaufgabe im Masterstudium. Daten- und Methodenbericht zur DZHW-Befragung StuMa 2020.
Isleib, S., Schmidtchen, H., & Weber, A. (2021). StuMa: Ursachen der Studienaufgabe im Masterstudium. Daten- und Methodenbericht zur DZHW-Befragung StuMa 2020. Hannover: FDZ-DZHW.
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Analysis of GPU-Libraries for Rapid Prototyping Database Operations : A Look Into Library Support for Database Operations.
Subramanian, H. K. H., Gurumurthy, B., Campero Durand, G., Broneske, D., & Saake, G. (2021). Analysis of GPU-Libraries for Rapid Prototyping Database Operations : A Look Into Library Support for Database Operations. In IEEE (Hrsg.), IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (S. 36-41). Chania, Greece: IEEE. https://doi.org/10.1109/ICDEW53142.2021.00014
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An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs.
Gurumurthy, B., Broneske, D., Schäler, M., Pionteck, T., & Saake, G. (2021). An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs. In IEEE (Hrsg.), IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (S. 48-53). Chania, Greece: IEEE. https://doi.org/10.1109/ICDEW53142.2021.00016
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Eurostudent VII. Micro Data. Data and methods report.
Cuppen, J., Muja, A., Hauschildt, K., Buck, D., & Daniel, A. (2021). Eurostudent VII. Micro Data. Data and methods report. Hannover: DZHW.
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Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries.
Schäler, M., Tex, C., Köppen, V., Broneske, D., & Saake, G. (2021). Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries. Information Systems, 2021 (online first). https://doi.org/10.1016/j.is.2021.101791
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