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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
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PublicationTowards Distributed Healthcare Systems - Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research( 2021)
;Bartholomäus, Sebastian ;Breitschwerdt, Rüdiger ;Hartz, Tobias ;Kachel, PhilippZeissig, Sylke RuthGerman cancer registries offer a systematic approach for the collection, storage, and management of data on patients with cancer and related diseases. Much hope in research and healthcare in general is depending on such register-based analyses in order to comprehensively consider the features of a highly diverse population. Next to the data collection the cancer registries are responsible for data protection. To fulfill legal regulations, access to data has to be controlled in a strict way leading to sometimes bureaucratic and slow processes. The situation is especially complicated in Germany, since cancer data is distributed over numerous federal cancer registries. If a nationwide data evaluation is conducted a research team has to negotiate a separate contract with each cancer registry. In a joint work in progress effort of cancer registries, technical, medical, and economical experts we propose a different solution for cooperative data processing. Our approach aims for combining data in a virtual pool based on the selection criteria of individual requests from researchers. To achieve our goal, we adapt the Fraunhofer Medical Data Space as enabling technology. The architecture we propose will allow us to pool data of multiple partners regulated by data access policies. In doing so, each of the data sources can introduce its own rules and specifications on how data is used. Additionally, we add a digital consent management that will allow individual patients to decide how their data is used. Finally, we show the high potential of the cooperative analysis of distributed cancer data supported by the proposed solution in our approach. -
PublicationReference Architecture Model. Version 3.0(International Data Spaces Association, 2019)
;Steinbuss, Sebastian ;Teuscher, Andreas ;Lohmann, Steffen ;Birnstil, P. ;Böhmer, M. ;Brost, G. ;Cirullies, J. ;Eitel, A. ;Ernst, T. ;Geisler, S. ;Gelhaar, J. ;Gude, R. ;Haas, C. ;Huber, M. ;Jung, C. ;Jürjens, J. ;Lange, C. ;Lis, D. ;Mader, C. ;Menz, N. ;Nagel, R. ;Patzer, F. ;Pettenpohl, H. ;Pullmann, J. ;Quix, C. ;Schulz, D. ;Schütte, J.et al. -
PublicationIDS Reference Architecture Model. Industrial Data Space. Version 2.0(International Data Spaces Association, 2018)
;Lohmann, Steffen ;Steinbuss, Sebastian ;Teuscher, Andreas ;Auer, Soeren ;Boehmer, Martin ;Bohn, Juergen ;Ciureanu, Constantin ;Corsi, Eva ;Danielsen, Soeren ;Gude, Roland ;Heiles, Juergen ;Hierro, Juanjo ;Hoernle, Joachim ;Huber, Manuel ;Juerjens, Jan ;Kasprzik, Anna ;Ketterl, Markus ;Koetzsch, Judith ;Koehler, Jacob ;Lange, Christoph ;Langer, Dorothea ;Langkau, Joerg ;Loeffler, Sven ;Loewen, Ulrich ;Mader, Christian ;Mueller, Andreas ;Mueller, Bernhard ;Nagel, Lars ;Nieminen, Harri ;Reitelbach, Thomas ;Resetko, Aleksei ;Pakkala, Daniel ;Pietzsch, Rene ;Pullmann, Jaroslav ;Punter, Matthijs ;Rohrmus, Dominik ;Romer, Lena ;Sandloehken, Joerg ;Schoewe, Patrick ;Schuette, Julian ;Schweichhart, Karsten ;Sol, Egbert-Jan ;Sorowka, Peter ;Spiegelberg, Gernot ;Spohn, Christian ;Stoehr, Gerrit ;Thess, Michael ;Tramp, Sebastian ;Wappler, Mona ;Weiergraeber, Ann-Christin ;Wenzel, Sven ;Wolff, OliverWoerner, Heike -
PublicationResearch Data in the Fraunhofer Digital Project. Creating a FAIR Research Data Infrastructure and Culture( 2018)
;Beyan, O. ;Quix, C.The Fraunhofer Society, as the leading organization for applied research in Europe, conducts its research activities by 72 institutes and research units at locations throughout Germany. The Fraunhofer Digital project, a part of the Fraunhofer 2022 Agenda, introduces the vision, that research and administrative data will be linked, aggregated and analyzed in order to optimize the research and development processes and support management decisions. As a part of this vision, the Research Data in the Fraunhofer Data Space project develops methods to reuse the research data in a broader sense, and integrate research data silos in various institutes into Fraunhofer Data Space. In this work we present the concept, early outcomes, and a FAIRness assessment of the research data repository approach. In our assessment we used the FAIR metrics, and as a result developed a set of recommendations. These recommendations will be utilized to establish a digital research data infrastructure as well as a research data reuse culture in Fraunhofer. They can be also useful for other large scale institutions with heterogeneous research communities. -
PublicationReference Architecture Model for the Industrial Data Space(Fraunhofer-Gesellschaft, 2017)
;Huber, Manuel ;Pullmann, Jaroslav ;Schütte, JulianWenzel, Sven