@article{57935,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>This paper examines how legally restricted access to banking services affects small and medium-sized enterprises (SMEs) in a highly developed country. Using a mixed-method approach, we examine the unique situation of the US marijuana industry. The industry benefits from the superior institutional environment in terms of legal protection and the labor market of the United States. However, due to conflicting state and federal laws it has no legal access to banking. We find significant value effects around three major events that affected future access to banking. These results indicate that banking access remains desirable for the marijuana industry. A survey taken by marijuana SMEs provides insights into what banking services are considered most valuable. We find that marijuana SMEs have problems to obtain financing and handle their transactions largely in cash, resulting in transaction inefficiency and high security concerns. Thereby, we shed light on the value of banks for SMEs in developed countries. We complement the literature on financial transaction services by highlighting the value for SMEs in developed markets.</jats:p>}},
  author       = {{Merz, Markus and Riepe, Jan}},
  issn         = {{0044-2372}},
  journal      = {{Journal of Business Economics}},
  number       = {{6}},
  pages        = {{797--849}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{SMEs with legally restricted banking access: evidence from the US marijuana industry}}},
  doi          = {{10.1007/s11573-020-01017-6}},
  volume       = {{91}},
  year         = {{2021}},
}

@inproceedings{29205,
  abstract     = {{We present the optical generation of a 300 Gbaud PRBS-7 data signal based on time-division multiplexing of Nyquist sinc-pulse sequences. The employed electronic and photonic components need only one-third of the final bandwidth.}},
  author       = {{Singh, Karanveer and Meier, Janosch and Preussler, Stefan and Kress, Christian and Scheytt, J. Christoph and Schneider, Thomas}},
  booktitle    = {{OSA Advanced Photonics Congress 2021}},
  isbn         = {{978-1-943580-94-1}},
  location     = {{Washington, DC United States}},
  pages        = {{SpTu4D.6}},
  publisher    = {{Optical Society of America}},
  title        = {{{Optical PRBS Generation with Threefold Bandwidth of the Employed Electronics and Photonics}}},
  doi          = {{https://doi.org/10.1364/SPPCOM.2021.SpTu4D.6}},
  year         = {{2021}},
}

@article{42247,
  author       = {{Hülsmann, Marius and Reinecke, Kirsten and Barthel, Thorsten and Reinsberger, Claus}},
  journal      = {{Deutsche Zeitschrift für Sportmedizin}},
  number       = {{7}},
  pages        = {{351--358}},
  title        = {{{Musculoskeletal Injuries In CrossFit®: A Systematic Review and Meta-Analysis of Injury Rates and Locations}}},
  doi          = {{10.5960/dzsm.2021.504}},
  volume       = {{72}},
  year         = {{2021}},
}

@article{51381,
  author       = {{Abdelrahem, Mohammed and Abdallah, Ali  and Pasqualone, Antonella }},
  journal      = {{ Journal of Ethnic Foods}},
  keywords     = {{halal standards, halal food, slaughterhouses}},
  title        = {{{The multiplicity of halal standards: a case study of application to slaughterhouses}}},
  doi          = {{10.1186/s42779-021-00084-6}},
  volume       = {{8:7}},
  year         = {{2021}},
}

@article{30755,
  abstract     = {{Der Beitrag berichtet Befunde zum schulischen Wohlbefinden und zur Wirkung ausge-
wählter Maßnahmen im Zuge der COVID-19-Pandemie aus einer Fragebogenerhebung
vom September 2020, im Anschluss an den ersten Lockdown. Teilnehmende waren 296
Schülerinnen und Schüler der Jahrgangsstufen 6 bis 10 an der inklusiven Laborschule Bie-
lefeld, einer staatlichen Versuchsschule. 45 (15,2%) der Schülerinnen und Schüler wiesen
einen sonderpädagogischen Unterstützungsbedarf (SPF) auf. Obschon viele Elemente des
Wohlbefindens in beiden Gruppen günstig ausgeprägt sind, finden sich für mehrere Aspek-
te bedeutsame und signifikante Unterschiede zuungunsten der Schülerinnen und Schüler
mit sonderpädagogischem Unterstützungsbedarf. Diese zeigen sich von pandemiebezoge-
nen Maßnahmen stärker betroffen, aber haben die Schule etwas weniger vermisst.}},
  author       = {{Goldan, Janka and Kullmann, Harry and Zentarra, Dominik and Geist, Sabine and Lütje-Klose, Birgit}},
  journal      = {{{Zeitschrift für Heilpädagogik}}},
  number       = {{12}},
  pages        = {{640–651}},
  title        = {{{Schulisches Wohlbefinden von Schülerinnen und Schülern mit und ohne sonderpädagogischen Unterstützungsbedarf während der COVID-19-Pandemie. Erste Befunde aus dem Projekt WILS-Co an der Laborschule Bielefeld}}},
  volume       = {{72}},
  year         = {{2021}},
}

@article{66216,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The predictive performance of a machine learning model highly depends on the corresponding hyper-parameter setting. Hence, hyper-parameter tuning is often indispensable. Normally such tuning requires the dedicated machine learning model to be trained and evaluated on centralized data to obtain a performance estimate. However, in a distributed machine learning scenario, it is not always possible to collect all the data from all nodes due to privacy concerns or storage limitations. Moreover, if data has to be transferred through low bandwidth connections it reduces the time available for tuning. Model-Based Optimization (MBO) is one state-of-the-art method for tuning hyper-parameters but the application on distributed machine learning models or federated learning lacks research. This work proposes a framework<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>that allows to deploy MBO on resource-constrained distributed embedded systems. Each node trains an individual model based on its local data. The goal is to optimize the combined prediction accuracy. The presented framework offers two optimization modes: (1)<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>-B considers the whole ensemble as a single black box and optimizes the hyper-parameters of each individual model jointly, and (2)<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>-I considers all models as clones of the same black box which allows it to efficiently parallelize the optimization in a distributed setting. We evaluate<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>by conducting experiments on the optimization for the hyper-parameters of a random forest and a multi-layer perceptron. The experimental results demonstrate that, with an improvement in terms of mean accuracy (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>-B), run-time efficiency (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>-I), and statistical stability for both modes,<jats:inline-formula><jats:alternatives><jats:tex-math>$$\textit{MODES}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>MODES</mml:mi></mml:math></jats:alternatives></jats:inline-formula>outperforms the baseline, i.e., carry out tuning with MBO on each node individually with its local sub-data set.</jats:p>}},
  author       = {{Shi, Junjie and Bian, Jiang and Richter, Jakob and Chen, Kuan-Hsun and Rahnenführer, Jörg and Xiong, Haoyi and Chen, Jian-Jia}},
  issn         = {{0885-6125}},
  journal      = {{Machine Learning}},
  number       = {{6}},
  pages        = {{1527--1547}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{MODES: model-based optimization on distributed embedded systems}}},
  doi          = {{10.1007/s10994-021-06014-6}},
  volume       = {{110}},
  year         = {{2021}},
}

@inproceedings{25328,
  author       = {{Röder, Michael and de Souza, Geraldo and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {II}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{34--47}},
  publisher    = {{Springer}},
  title        = {{{Squirrel - Crawling RDF Knowledge Graphs on the Web}}},
  doi          = {{10.1007/978-3-030-62466-8\_3}},
  volume       = {{12507}},
  year         = {{2020}},
}

@inproceedings{25341,
  author       = {{Bigerl, Alexander and Conrads, Felix and Behning, Charlotte and Ahmed Sherif, Mohamed and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{56--73}},
  publisher    = {{Springer}},
  title        = {{{Tentris - A Tensor-Based Triple Store}}},
  doi          = {{10.1007/978-3-030-62419-4\_4}},
  volume       = {{12506}},
  year         = {{2020}},
}

@inproceedings{25343,
  author       = {{Moussallem, Diego and Gnaneshwar, Dwaraknath and Castro Ferreira, Thiago and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{420--437}},
  publisher    = {{Springer}},
  title        = {{{NABU - Multilingual Graph-Based Neural RDF Verbalizer}}},
  doi          = {{10.1007/978-3-030-62419-4\_24}},
  volume       = {{12506}},
  year         = {{2020}},
}

@inproceedings{25344,
  author       = {{Zhang, Xinyue and Wang, Meng and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille and Qi, Guilin and Wang, Haofen}},
  booktitle    = {{The Semantic Web - {ISWC} 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part {I}}},
  editor       = {{Z. Pan, Jeff and A. M. Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana}},
  pages        = {{672--690}},
  publisher    = {{Springer}},
  title        = {{{Revealing Secrets in SPARQL Session Level}}},
  doi          = {{10.1007/978-3-030-62419-4\_38}},
  volume       = {{12506}},
  year         = {{2020}},
}

@book{19467,
  editor       = {{Seng, Eva- Maria and Göttmann, Frank}},
  publisher    = {{Walter de Gruyter}},
  title        = {{{Reflexe der immateriellen und materiellen Kultur (bislang 6 Bände, Herausgebertätigkeit Reihe)}}},
  year         = {{2020}},
}

@book{19470,
  editor       = {{Freitag, Werner and Gorissen, Stefan and Schilp, Thomas and Seng, Eva- Maria and Westphal, Siegrid}},
  publisher    = {{Aschendorff}},
  title        = {{{Westfalen in der Vormoderne. Studien zur mittelalterlichen und frühneuzeitlichen Landesgeschichte (bislang 32 Bände, Herausgebertätigkeit Reihe)}}},
  year         = {{2020}},
}

@book{19471,
  editor       = {{Saage, Richard and Reese-Schäfer, Walter and Seng, Eva- Maria}},
  publisher    = {{LIT}},
  title        = {{{Politica et Ars. Interdisziplinäre Studien zur politischen Ideen- und Kulturgeschichte (bislang 26 Bände, Herausgebertätigkeit Reihe)}}},
  year         = {{2020}},
}

@book{19472,
  editor       = {{Göttmann, Frank and Seng, Eva- Maria and Wittig, Michael}},
  publisher    = {{sh, nun Schöningh}},
  title        = {{{Paderborner Historische Forschungen (bislang 18 Bände, Herausgebertätigkeit Reihe)}}},
  year         = {{2020}},
}

@proceedings{20277,
  editor       = {{Wehrheim, Heike and Cabot, Jordi}},
  isbn         = {{978-3-030-45233-9}},
  publisher    = {{Springer}},
  title        = {{{Fundamental Approaches to Software Engineering - 23rd International Conference, FASE 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25-30, 2020, Proceedings}}},
  doi          = {{10.1007/978-3-030-45234-6}},
  volume       = {{12076}},
  year         = {{2020}},
}

@article{28242,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>Due to the increasing use of information and communication technology, computer-related skills are important for all students in order to participate in the digital age (Fraillon, J., Ainley, J., Schulz, W., Friedman, T. &amp; Duckworth, D. (2019). <jats:italic>Preparing for life in a digital world: IEA International Computer and Information Literacy Study 2018 International Report.</jats:italic> Amsterdam: International Association for the Evaluation of Educational Achievement (IEA). Retrieved from <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.iea.nl/sites/default/files/2019-11/ICILS%202019%20Digital%20final%2004112019.pdf">https://www.iea.nl/sites/default/files/2019-11/ICILS%202019%20Digital%20final%2004112019.pdf</jats:ext-link>). Educational systems play a key role in the mediation of these skills (Eickelmann. Second Handbook of Information Technology in Primary and Secondary Education. Cham: Springer, 2018). However, previous studies have shown differences in students’ computer and information literacy (CIL). Although various approaches have been used to explain these differences, process data, such as response times, have never been taken into consideration. Based on data from the IEA-study ICILS 2013 of the Czech Republic, Denmark and Germany, this secondary analysis examines to what extent response times can be used as an explanatory approach for differences in CIL also within different groups of students according to student background characteristics (gender, socioeconomic background and immigrant background).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>First, two processing profiles using a latent profile analysis (Oberski, D. (2016). Mixture Models: Latent Profile and Latent Class Analysis. In J. Robertson &amp; M. Kaptein (Eds.), <jats:italic>Modern Statistical Methods for HCI</jats:italic> (pp. 275–287). Switzerland: Springer. <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" xlink:href="https://doi.org/10.1007/978-3-319-26633-6">10.1007/978-3-319-26633-6</jats:ext-link>) based on response times are determined—a fast and a slow processing profile. To detect how these profiles are related to students’ CIL, also in conjunction with students’ background characteristics (socioeconomic and immigrant background), descriptive statistics are used.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The results show that in the Czech Republic and Germany, students belonging to the fast processing profile have on average significantly higher CIL than students allocated to the slow processing profile. In Denmark, there are no significant differences. Concerning the student background characteristics in the Czech Republic, there are significant negative time-on-task effects for all groups except for students with an immigrant background and students with a high parental occupational status. There are no significant differences in Denmark. For Germany, a significant negative time-on-task effect can be found among girls. However, the other examined indicators for Germany are ambiguous.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusions</jats:title>
                <jats:p>The results show that process data can be used to explain differences in students’ CIL: In the Czech Republic and Germany, there is a correlation between response times and CIL (significant negative time-on-task effect). Further analysis should also consider other aspects of CIL (e.g. reading literacy). What becomes clear, however, is that when interpreting and explaining differences in competence, data should also be included that relates to the completion process during testing.</jats:p>
              </jats:sec>}},
  author       = {{Heldt, Melanie and Massek, Corinna and Drossel, Kerstin and Eickelmann, Birgit}},
  issn         = {{2196-0739}},
  journal      = {{Large-scale Assessments in Education}},
  number       = {{1}},
  pages        = {{1--20}},
  title        = {{{The relationship between differences in students’ computer and information literacy and response times: an analysis of IEA-ICILS data}}},
  doi          = {{10.1186/s40536-020-00090-1}},
  volume       = {{8}},
  year         = {{2020}},
}

@inproceedings{24203,
  author       = {{Moritzer, Elmar and Hillemeyer, Johannes}},
  booktitle    = {{6. Fachkonferenz 3D-Druck in der Automobielindustrie}},
  location     = {{Hamburg}},
  title        = {{{Additiveteile Direktverschrauben}}},
  year         = {{2020}},
}

@article{27013,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Flavonoids are suggested to reduce disease risk. Since dietary habits are acquired during early life, describing age and time trends of flavonoid intake and major food sources are important for monitoring and disease prevention in later life. We aimed to describe total flavonoid intake and food sources and to investigate age and time trends of flavonoid intake in 3–18-year-olds, from the Dortmund Nutritional and Anthropometric Longitudinally Designed study from 1985 to 2016. Intake was assessed annually using 3-d weighed food records (WFR). Flavonoid values were assigned using the United States Department of Agriculture database. Foods contributing to intake were determined. Age and time trends in total flavonoid and isoflavone density were analysed by sex with PROC MIXED. In total, 1312 children completed 10 758 WFR. Across all ages, daily mean total flavonoid density was lower in boys compared with girls (134 <jats:italic>v</jats:italic>. 146 mg/4184 kJ) and no difference in median isoflavone density (0·04 mg/4184 kJ per d) was found. The top five foods contributing to total flavonoid intake were apple with peel (15·0/17·1 %), strawberries (5·9/6·1 %), chocolate spread (3·9/3·5 %), orange juice (3·5/3·4 %) and pasta (3·5/3·4 %) for boys and girls, respectively. Overall, in boys, total flavonoid density decreased over the course of age and time. In girls, there was no association with age or time. In both sexes, isoflavone density followed a U-shaped age trend with no change over time. From a public health perspective, the overall observed downwards trend of flavonoid intake in boys deserves attention. Future initiatives should be tailored at maintaining a high flavonoid density as children age, specifically among boys.</jats:p>}},
  author       = {{Rienks, Johanna and Penczynski, Katharina J. and Schmitting, Sarah and Buyken, Anette and Nöthlings, Ute}},
  issn         = {{0007-1145}},
  journal      = {{British Journal of Nutrition}},
  pages        = {{1198--1206}},
  title        = {{{Dietary flavonoids among children and adolescents in the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study: intake, food sources and trends from 1985 until 2016}}},
  doi          = {{10.1017/s000711452000183x}},
  year         = {{2020}},
}

@article{27864,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>Due to the increasing use of information and communication technology, computer-related skills are important for all students in order to participate in the digital age (Fraillon, J., Ainley, J., Schulz, W., Friedman, T. &amp; Duckworth, D. (2019). <jats:italic>Preparing for life in a digital world: IEA International Computer and Information Literacy Study 2018 International Report.</jats:italic> Amsterdam: International Association for the Evaluation of Educational Achievement (IEA). Retrieved from <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.iea.nl/sites/default/files/2019-11/ICILS%202019%20Digital%20final%2004112019.pdf">https://www.iea.nl/sites/default/files/2019-11/ICILS%202019%20Digital%20final%2004112019.pdf</jats:ext-link>). Educational systems play a key role in the mediation of these skills (Eickelmann. Second Handbook of Information Technology in Primary and Secondary Education. Cham: Springer, 2018). However, previous studies have shown differences in students’ computer and information literacy (CIL). Although various approaches have been used to explain these differences, process data, such as response times, have never been taken into consideration. Based on data from the IEA-study ICILS 2013 of the Czech Republic, Denmark and Germany, this secondary analysis examines to what extent response times can be used as an explanatory approach for differences in CIL also within different groups of students according to student background characteristics (gender, socioeconomic background and immigrant background).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>First, two processing profiles using a latent profile analysis (Oberski, D. (2016). Mixture Models: Latent Profile and Latent Class Analysis. In J. Robertson &amp; M. Kaptein (Eds.), <jats:italic>Modern Statistical Methods for HCI</jats:italic> (pp. 275–287). Switzerland: Springer. <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" xlink:href="https://doi.org/10.1007/978-3-319-26633-6">10.1007/978-3-319-26633-6</jats:ext-link>) based on response times are determined—a fast and a slow processing profile. To detect how these profiles are related to students’ CIL, also in conjunction with students’ background characteristics (socioeconomic and immigrant background), descriptive statistics are used.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The results show that in the Czech Republic and Germany, students belonging to the fast processing profile have on average significantly higher CIL than students allocated to the slow processing profile. In Denmark, there are no significant differences. Concerning the student background characteristics in the Czech Republic, there are significant negative time-on-task effects for all groups except for students with an immigrant background and students with a high parental occupational status. There are no significant differences in Denmark. For Germany, a significant negative time-on-task effect can be found among girls. However, the other examined indicators for Germany are ambiguous.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusions</jats:title>
                <jats:p>The results show that process data can be used to explain differences in students’ CIL: In the Czech Republic and Germany, there is a correlation between response times and CIL (significant negative time-on-task effect). Further analysis should also consider other aspects of CIL (e.g. reading literacy). What becomes clear, however, is that when interpreting and explaining differences in competence, data should also be included that relates to the completion process during testing.</jats:p>
              </jats:sec>}},
  author       = {{Heldt, Melanie and Massek, Corinna and Drossel, Kerstin and Eickelmann, Birgit}},
  issn         = {{2196-0739}},
  journal      = {{Large-scale Assessments in Education}},
  pages        = {{1--20}},
  title        = {{{The relationship between differences in students’ computer and information literacy and response times: an analysis of IEA-ICILS data}}},
  doi          = {{10.1186/s40536-020-00090-1}},
  volume       = {{8}},
  year         = {{2020}},
}

@article{21257,
  abstract     = {{<jats:p>Digital data on tangible and intangible cultural assets is an essential part of daily life, communication and experience. It has a lasting influence on the perception of cultural identity as well as on the interactions between research, the cultural economy and society. Throughout the last three decades, many cultural heritage institutions have contributed a wealth of digital representations of cultural assets (2D digital reproductions of paintings, sheet music, 3D digital models of sculptures, monuments, rooms, buildings), audio-visual data (music, film, stage performances), and procedural research data such as encoding and annotation formats. The long-term preservation and FAIR availability of research data from the cultural heritage domain is fundamentally important, not only for future academic success in the humanities but also for the cultural identity of individuals and society as a whole. Up to now, no coordinated effort for professional research data management on a national level exists in Germany. NFDI4Culture aims to fill this gap and create a user-centered, research-driven infrastructure that will cover a broad range of research domains from musicology, art history and architecture to performance, theatre, film, and media studies.</jats:p>
          <jats:p>The research landscape addressed by the consortium is characterized by strong institutional differentiation. Research units in the consortium's community of interest comprise university institutes, art colleges, academies, galleries, libraries, archives and museums. This diverse landscape is also characterized by an abundance of research objects, methodologies and a great potential for data-driven research. In a unique effort carried out by the applicant and co-applicants of this proposal and ten academic societies, this community is interconnected for the first time through a federated approach that is ideally suited to the needs of the participating researchers. To promote collaboration within the NFDI, to share knowledge and technology and to provide extensive support for its users have been the guiding principles of the consortium from the beginning and will be at the heart of all workflows and decision-making processes. Thanks to these principles, NFDI4Culture has gathered strong support ranging from individual researchers to high-level cultural heritage organizations such as the UNESCO, the International Council of Museums, the Open Knowledge Foundation and Wikimedia. On this basis, NFDI4Culture will take innovative measures that promote a cultural change towards a more reflective and sustainable handling of research data and at the same time boost qualification and professionalization in data-driven research in the domain of cultural heritage. This will create a long-lasting impact on science, cultural economy and society as a whole.</jats:p>}},
  author       = {{Altenhöner, Reinhard and Blümel, Ina and Boehm, Franziska and Bove, Jens and Bicher, Katrin and Bracht, Christian and Brand, Ortrun and Dieckmann, Lisa and Effinger, Maria and Hagener, Malte and Hammes, Andrea and Heller, Lambert and Kailus, Angela and Kohle, Hubertus and Ludwig, Jens and Münzmay, Andreas and Pittroff, Sarah and Razum, Matthias and Röwenstrunk, Daniel and Sack, Harald and Simon, Holger and Schmidt, Dörte and Schrade, Torsten and Walzel, Annika-Valeska and Wiermann, Barbara}},
  issn         = {{2367-7163}},
  journal      = {{Research Ideas and Outcomes}},
  title        = {{{NFDI4Culture - Consortium for research data on material and immaterial cultural heritage}}},
  doi          = {{10.3897/rio.6.e57036}},
  year         = {{2020}},
}

