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Bobák, M., Hluchý, L., Habala, O., Tran, V., Cushing, R., Valkering, O., Belloum, A., Graziani, M., Müller, H., Madougou, S., & Maassen, J. (2020). Reference exascale architecture (extended version). Computing and Informatics, 39(4), 644-677. https://doi.org/10.31577/CAI_2020_4_644
Osório, A. L., Camarinha-Matos, L. M., Afsarmanesh, H., & Belloum, A. (2020). Liability in Collaborative Maintenance of Critical System of Systems. In L. M. Camarinha-Matos, H. Afsarmanesh, & A. Ortiz (Eds.), Boosting Collaborative Networks 4.0: 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, Valencia, Spain, November 23–25, 2020 : proceedings (pp. 191-202). (IFIP Advances in Information and Communication Technology; Vol. 598). Springer. https://doi.org/10.1007/978-3-030-62412-5_16
Geradts, Z. J. (2020). Crossing Borders: Forensic Science and the Fourth Industrial Revolution. Journal of Forensic Sciences, 65(1), 6-7. https://doi.org/10.1111/1556-4029.14236
Zhao, Z., Jeffery, K., Stocker, M., Atkinson, M., & Petzold, A. (2020). Towards Operational Research Infrastructures with FAIR Data and Services. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 360-372). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_20
Martin, P., Magagna, B., Liao, X., & Zhao, Z. (2020). Semantic Linking of Research Infrastructure Metadata. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 226-246). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_13
Koulouzis, S., Carval, T., Heikkinen, J., Pursula, A., & Zhao, Z. (2020). Case Study: Data Subscriptions Using Elastic Cloud Services. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 293-306). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_16
Magagna, B., Martin, P., Nieva de la Hidalga, A., Atkinson, M., & Zhao, Z. (2020). Common Challenges and Requirements. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 30-57). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_3
Magagna, B., Goldfarb, D., Martin, P., Atkinson, M., Koulouzis, S., & Zhao, Z. (2020). Data Provenance. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 208-225). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_12
Alsayed Kassem, J., de Laat, C., Taal, A., & Grosso, P. (2020). The EPI Framework: A Dynamic Data Sharing Framework for Healthcare Use Cases. IEEE Access, 8, 179909-179920. https://doi.org/10.1109/ACCESS.2020.3028051
Zhou, H., Ouyang, X., & Zhao, Z. (2020). ALLSTAR: A Blockchain Based Decentralized Ecosystem for Cloud and Edge Computing. In 2020 IEEE International Conference on JointCloud Computing: proceedings : 3-6 August 2020, Oxford, United Kingdom (pp. 55-62). IEEE Computer Society. https://doi.org/10.1109/JCC49151.2020.00018

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