A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments by S. Bharath Babu, K. R. Jothi

“…This approach is critical in scenarios such as telemedicine, where secure data sharing and computation are paramount. By demonstrating its application in a telemedicine app, the framework highlights its practical significance in balancing data utility and privacy in healthcare analytics, providing a scalable and secure solution to a pressing problem.…”
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Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data by Daniel L. Schwartz, Nathan P. Gibson, Katayoun Torabi

“…Instead, SPEAR uses a customized TEI schema to model factoids that can be queried and visualized in an XML database as well as serialized in HTML for human viewers and in RDF for data sharing. The TEI’s provisions for structured and semi-structured data make it ideal for encoding data from heterogeneous historical source material. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…This blockchain-based solution provides a robust framework for creating secure, efficient, and scalable federated learning environments, ensuring reliable data sharing and trustworthy model training.…”
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Evolutionary Traits and Genomic Surveillance of SARS-CoV-2 in South America by Pablo A. Ortiz-Pineda, Carlos H. Sierra-Torres

“…Fortunately, the full genome structure and sequence of SARS-CoV-2 have been rapidly obtained and studied thanks to all the scientific efforts and data sharing around the world. Such molecular analysis of SARS-CoV-2 dynamics showed that rates of mutation, similar to other members of the Coronaviridae family, along with natural selection forces, could result in the emergence of new variants; few of them might be of high consequence. …”
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Sharing soil knowledge of the Congolese coastal plains within international research partnerships by Lydie-Stella Koutika

“…The future and strong interconnected soil, forest plantations and social-economic data sharing to tackle environmental challenges i.e., climate change, biodiversity loss, pollution, and soil and land degradation, is crucial and needed in the region.…”
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Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities by Abdullah Hosseini, Ahmed Serag

“…Traditional methods, however, often grapple with data-sharing restrictions due to privacy concerns. Emerging techniques in artificial intelligence offer innovative solutions to overcome these constraints, with synthetic data generation enabling the creation of realistic medical imaging datasets, but the preservation of critical hidden medical biomarkers is an open question.MethodsThis study employs state-of-the-art Denoising Diffusion Probabilistic Models integrated with a Swin-transformer-based network to generate synthetic medical data. …”
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GenFedRL: a general federated reinforcement learning framework for deep reinforcement learning agents by Biao JIN, Yikang LI, Zhiqiang YAO, Yulin CHEN, Jinbo XIONG

“…To solve the problem that intelligent devices equipped with deep reinforcement learning agents lack effective security data sharing mechanisms in the intelligent Internet of things, a general federated reinforcement learning (GenFedRL) framework was proposed for deep reinforcement learning agents.The joint training through model-sharing technology was realized by GenFedRL without the need to share the local private data of deep reinforcement learning agents.Each agent device’s data and computing resources could be effectively used without disclosing the privacy of its private data.To cope with the complexity of the real communication environment and meet the need to accelerate the training speed, a model-sharing mechanism based on synchronization and parallel was designed for GenFedRL.Combined with the model structure characteristics of common deep reinforcement learning algorithms, general federated reinforcement learning algorithm suitable for single network structure and multi-network structure was designed based on the FedAvg algorithm, respectively.Then, the model sharing mechanism among agents with the same network structure was implemented to protect the private data of various agents better.Simulation experiments show that common deep reinforcement learning algorithms still perform well in GenFedRL even in the harsh communication environment where most data nodes cannot participate in training.…”
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Research Data Management Within the EU Data Policy Framework by Milčiuvienė Saulė, Amilevičius Darius, Raškinis Gailius

“…The Data Act primarily focuses on private sector data and facilitates data sharing across businesses and sectors, particularly in the domain of the Internet of Things, while promoting interoperability and fair contractual terms. …”
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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review by Abdulmajeed Adil Yazdeen, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Omar M. Ahmed, Rizgar R. Zebari

“… In recent days, increasing numbers of Internet and wireless network users have helped accelerate the need for encryption mechanisms and devices to protect user data sharing across an unsecured network. Data security, integrity, and verification may be used due to these features. …”
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User Revocation-Enabled Access Control Model Using Identity-Based Signature in the Cloud Computing Environment by Tarun Kumar, Prabhat Kumar, Suyel Namasudra

“…However, an unresolved yet critical challenge in cloud data-sharing systems is the revocation of malicious users. …”
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Survey of attitudes in a Danish public towards reuse of health data. by Lea Skovgaard, Claus Thorn Ekstrøm, Mette N Svendsen, Klaus Hoeyer

“…Our study suggests that there are certain forms of health data reuse-namely transnational data sharing, commercial involvement, and use of data as national economic assets-which risk undermining public support for health data reuse. …”
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The Standardized Data Management Plan for Educational Research by Sebastian Netscher, Harald Kaluza, Reiner Mauer, Kati Mozygemba, Karsten Stephan

“…Instead, users of conventional templates require more tailored guidance to better understand how to manage their data according to the needs of their research discipline, and its methods and practises, e.g., regarding data sharing. To provide more tailored, discipline-specific guidance, Science Europe (2018) suggests developing and using so-called Domain Data Protocols, i.e., a model DMP for a given discipline or community. …”
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The internet of battle things: a survey on communication challenges and recent solutions by Rachel Kufakunesu, Herman Myburgh, Allan De Freitas

“…This connectivity facilitates real-time communication, data sharing, and collaboration among military assets, enhancing situational awareness, decision-making processes, and overall operational effectiveness. …”
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An Ontology-Based GIS for Genomic Data Management of Rumen Microbes by Saber Jelokhani-Niaraki, Mojtaba Tahmoorespur, Zarrin Minuchehr, Mohammad Reza Nassiri

“…Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. …”
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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…Such a common structure facilitates data sharing and comparative research. In this study, we propose an extended version of IDS, named IDS-Geo, that also includes geographic data. …”
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Reconstructing the last common ancestor of all eukaryotes. by Thomas A Richards, Laura Eme, John M Archibald, Guy Leonard, Susana M Coelho, Alex de Mendoza, Christophe Dessimoz, Pavel Dolezal, Lillian K Fritz-Laylin, Toni Gabaldón, Vladimír Hampl, Geert J P L Kops, Michelle M Leger, Purificacion Lopez-Garcia, James O McInerney, David Moreira, Sergio A Muñoz-Gómez, Daniel J Richter, Iñaki Ruiz-Trillo, Alyson E Santoro, Arnau Sebé-Pedrós, Berend Snel, Courtney W Stairs, Eelco C Tromer, Jolien J E van Hooff, Bill Wickstead, Tom A Williams, Andrew J Roger, Joel B Dacks, Jeremy G Wideman

“…As data sets grow, sketching an accurate genomics-informed picture of early eukaryotic cellular complexity requires provision of analytical resources and a commitment to data sharing. Here, we summarise progress towards understanding the biology of LECA and outline a community approach to inferring its wider gene repertoire. …”
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Machine learning and multi-omics in precision medicine for ME/CFS by Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong

“…We also highlight several priorities, including the critical need for applying robust computational tools and collaborative data-sharing initiatives in the endeavour to unravel the biological intricacies of ME/CFS.…”
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South African Electoral Commission’s mobile app for voters: Data privacy and security dimensions by Nawal Omar, Scott Timcke

“…In addition, the presence of advertising and analytics trackers suggested third-party data-sharing, raising concerns about transparency and user consent. …”
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Informed consent in dementia research: how Public Involvement can contribute to addressing “old” and “new” challenges by Ana Diaz, Cindy Birck, Angela Bradshaw, Jean Georges, Daphne Lamirel, Soraya Moradi-Bachiller, Dianne Gove

“…., new types of research such as artificial intelligence and data sharing/re-use) in dementia research.…”
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The role of digital health in pandemic preparedness and response: securing global health? by Chisom Ogochukwu Ezenwaji, Esther Ugo Alum, Okechukwu Paul-Chima Ugwu

“…Conclusion The COVID-19 outbreak demonstrated the importance of digital technology in outbreak management, patient care, communication, and data sharing. As the world transitions into the post-pandemic phase, it will be important to build on these innovations and prepare for the challenges ahead in order to strengthen healthcare systems for future pandemics.…”
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