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@Article { 2022_brauner_iop,
   title = {A Computer Science Perspective on Digital Transformation in Production},
   journal = {ACM Transactions on Internet of Things},
   year = {2022},
   month = {5},
   day = {1},
   volume = {3},
   number = {2},
   abstract = {The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.},
   keywords = {Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things},
   tags = {internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf},
   publisher = {ACM},
   ISSN = {2691-1914},
   DOI = {10.1145/3502265},
   reviewed = {1},
   author = {Brauner, Philipp and Dalibor, Manuela and Jarke, Matthias and Kunze, Ike and Koren, Istv{\'a}n and Lakemeyer, Gerhard and Liebenberg, Martin and Michael, Judith and Pennekamp, Jan and Quix, Christoph and Rumpe, Bernhard and van der Aalst, Wil and Wehrle, Klaus and Wortmann, Andreas and Ziefle, Martina}
}

@Article { 2021_schomakers_insights,
   title = {Insights on Data Sensitivity from the Technical, Legal and the Users' Perspectives},
   journal = {Computer Law Review International},
   year = {2021},
   month = {2},
   day = {15},
   volume = {22},
   number = {1},
   pages = {8-15},
   abstract = {Social media, cloud computing, and the Internet of Things connect people around the globe, offering manifold benefits. However, the technological advances and increased user participation generate novel challenges for users' privacy. From the users' perspective, the consequences of data disclosure depend on the perceived sensitivity of that data. But in light of the new technological opportunities to process and combine data, it is questionable whether users can adequately evaluate risks of data disclosures. As mediating authority, data protection laws such as the European General Data Protection Regulation try to protect user data, granting enhanced protection to ''special categories'' of data. This article assesses the legal, technological, and users' perspectives on information sensitivity and their interplay. Technologically, all data can be referred to as ''potentially sensitive.'' The legal and users' perspective on information sensitivity deviate from this standpoint, as some data types are granted special protection by law but are not perceived as very sensitive by users and vice versa. The key findings here suggest the GDPR adequately protecting users' privacy but for small adjustments.},
   tags = {Information Sensitivity, Privacy, European Data Protection Law},
   ISSN = {1610-7608},
   DOI = {10.9785/cri-2021-220103},
   reviewed = {1},
   author = {Schomakers, Eva-Maria and Lidynia, Chantal and M{\"u}llmann, Dirk and Matzutt, Roman and Wehrle, Klaus and Spiecker gen. D{\"o}hmann, Indra and Ziefle, Martina}
}

@Inproceedings { 2019_rut_schomakers_privacy,
   title = {Putting Privacy into Perspective -- Comparing Technical, Legal, and Users' View of Information Sensitivity},
   year = {2021},
   month = {1},
   day = {27},
   pages = {857-870},
   abstract = {Social media, cloud computing, and the Internet of Things connect people around the globe, offering manifold benefits. However, the technological advances and increased user participation generate novel challenges for users' privacy. From the users' perspective, the consequences of data disclosure depend on the perceived sensitivity of that data. But in light of the new technological opportunities to process and combine data, it is questionable whether users can adequately evaluate risks of data disclosures. As mediating authority, data protection laws such as the European General Data Protection Regulation try to protect user data, granting enhanced protection to ''special categories'' of data. In this paper, we assess the legal, technological, and users' perspectives on information sensitivity and their interplay. Technologically, all data can be referred to as ''potentially sensitive.'' The legal and users' perspective on information sensitivity deviate from this standpoint, as some data types are granted special protection by law but are not perceived as very sensitive by users and vice versa. Our key findings still suggest the GDPR adequately protecting users' privacy but for small adjustments.},
   keywords = {Information Sensitivity,Privacy,European Data Protection Law},
   tags = {mynedata},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-schomakers-3perspectives.pdf},
   web_url = {https://dl.gi.de/handle/20.500.12116/34788},
   web_url2 = {https://arxiv.org/abs/1911.06569},
   publisher = {Gesellschaft f{\"u}r Informatik},
   address = {Bonn},
   booktitle = {INFORMATIK 2020},
   event_place = {Karlsruhe, Germany},
   event_name = {INFORMATIK 2020},
   event_date = {2020-09-28 to 2020-10-01},
   language = {English},
   DOI = {10.18420/inf2020_76},
   reviewed = {1},
   author = {Schomakers, Eva-Maria and Lidynia, Chantal and M{\"u}llmann, Dirk and Matzutt, Roman and Wehrle, Klaus and Spiecker gen. D{\"o}hmann, Indra and Ziefle, Martina}
}

@Article { 2020-wehrle-digitalshadows,
   title = {Mit ''Digitalen Schatten'' Daten verdichten und darstellen : Der Exzellenzcluster ''Internet der Produktion'' forscht {\"u}ber die Produktionstechnik hinaus},
   journal = {Der Profilbereich ''Information \& Communication Technology''},
   year = {2020},
   ISSN = {0179-079X},
   DOI = {10.18154/RWTH-2021-02496},
   author = {Jarke, Matthias and van der Aalst, Wil and Brecher, Christian and Brockmann, Matthias and Koren, Istv{\'a}n and Lakemeyer, Gerhard and Rumpe, Bernhard and Schuh, G{\"u}nther and Wehrle, Klaus and Ziefle, Martina}
}

@Inproceedings { 2017-matzutt-mynedata,
   title = {myneData: Towards a Trusted and User-controlled Ecosystem for Sharing Personal Data},
   year = {2017},
   pages = {1073-1084},
   abstract = {Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.},
   note = {Presentation slides are in German},
   keywords = {Personal User Data, Personal Information Management, Data Protection Laws, Privacy Enhancing Technologies, Platform Design, Profiling},
   tags = {mynedata_show},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-matzutt-informatik-mynedata.pdf},
   web_url = {https://www.comsys.rwth-aachen.de/fileadmin/misc/mynedata/talks/2017-matzutt-informatik-mynedata-presentation.pdf},
   web_url_date = {Presentation slides},
   editor = {Eibl, Maximilian and Gaedke, Martin},
   publisher = {Gesellschaft f{\"u}r Informatik, Bonn},
   booktitle = {INFORMATIK 2017},
   event_place = {Chemnitz},
   event_name = {INFORMATIK 2017},
   event_date = {2017-09-28},
   language = {English},
   ISBN = {978-3-88579-669-5},
   ISSN = {1617-5468},
   DOI = {10.18420/in2017_109},
   reviewed = {1},
   author = {Matzutt, Roman and M{\"u}llmann, Dirk and Zeissig, Eva-Maria and Horst, Christiane and Kasugai, Kai and Lidynia, Sean and Wieninger, Simon and Ziegeldorf, Jan Henrik and Gudergan, Gerhard and Spiecker gen. D{\"o}hmann, Indra and Wehrle, Klaus and Ziefle, Martina}
}

@Inproceedings { 2015-ahfe-kowalewski-facebook,
   title = {Like us on Facebook! - Analyzing user preferences regarding privacy settings in Germany},
   journal = {Procedia Manufacturing},
   year = {2015},
   month = {7},
   volume = {3},
   pages = {815--822},
   publisher = {Elsevier},
   booktitle = {The 6th International Conference on Applied Humand Factors and Ergonomics (AHFE 2015), Las Vegas, NV, USA},
   language = {en},
   ISSN = {2351-9789},
   DOI = {10.1016/j.promfg.2015.07.336},
   reviewed = {1},
   author = {Kowalewski, Sylvia and Ziefle, Martina and Ziegeldorf, Jan Henrik and Wehrle, Klaus}
}