18 papers · ranked by Valyu relevance
Monu Sharma, Abhishek Jain
Workday is a cloud-based Enterprise Resource Planning (ERP) system that brings HR, Finance, Supply Chain functions , Prism Anlytics and Extend custom built in application together under an integrated software-as-a-service (SaaS) environment.As every organization that undergoes digital transformation, the importance of…
Pragya, Sandeep Kumar Mathivanan, Pavan Kumar M. R., Radha Raman Chandan + 2 more
The rapid growth of data in various industries has led to a pressing need for innovative solutions that ensure both the security and efficiency of data management systems. As organizations increasingly rely on large-scale datasets for decision-making, ensuring the privacy and integrity of this data becomes a critical…
Jiefei Chen, Zhiliang Lu, Hua Zheng, Zhengguo Ren + 2 more
In the era of rapidly expanding artificial intelligence (AI) applications, ensuring secure data storage and transmission within AI computing power platforms remains a critical challenge. This research presents a novel data security storage and transmission system, termed as secure artificial intelligence data storage…
Gaurav Sarraf, Vibhor Pal
Accepted: 10 April 2022 Published: 30 April 2022 Privacy-preserving data processing refers to the methods and models that allow computing and analyzing sensitive data with a guarantee of confidentiality. As cloud computing and applications that rely on data continue to expand, there is an increasing need to protect…
Joe Soundararajan, Yan Zhuang, Dong Xu
Genomic data are growing exponentially, creating opportunities for discovery but also raising significant concerns regarding privacy, security, and governance. We present a framework that encrypts genome-scale files using AES-256-GCM and protects keys per recipient via Curve25519, anchors only content identifiers and…
Shixuan Zhao, Weicheng Wang, Ninghui Li, Zhiqiang Lin
Protecting sensitive information in data-driven collaborations, such as AI training, while meeting the diverse requirements of multiple mutually distrusted stakeholders, is both crucial and challenging. This paper presents Styx, a novel framework to address this challenge by integrating sticky policies with Trusted…
Timothy R Churches, Richard Green, Phi Bang Nguyen, Md Shajedur Rahman Shawon + 1 more
Introduction The E-Research Institutional Cloud Architecture (ERICA) is a code-driven orchestration framework that automates the configuration and management of Amazon Web Services (AWS) resources to provide trusted research environments (TREs) for sensitive data. Independent ERICA TREs are now operational in…
Darya Pokutnaya, Lisa M. Mayer, Sydney Foote, Meghan Hartwick + 3 more
The Data Management and Sharing (DMS) Policy issued by the National Institutes of Health (NIH) requires most grant applications to include a DMS Plan, detailing data type(s), resources (e.g., data repositories, knowledgebases, portals) for data sharing, and a dissemination timeline. Researchers face challenges…
Vijay Karnatak, Neha Tripathi, Mohammad Wazid, Saksham Mittal + 2 more
The edge computing-based Internet of Things (IoT) system minimizes latency by processing data locally, reducing the distance it needs to travel. Processing data in proximity to its source enables rapid decision-making and real-time reactions. The edge-based IoT has several possible uses, including smart cities, smart…
Frederik Zuiderveen Borgesius, Axel Arnbak
This paper builds on, and includes sentences from, the PhD research of both authors. Mainly Section II builds on earlier work by Zuiderveen Borgesius. (See F.J. Zuiderveen Borgesius, Improving privacy Protection in the Area of Behavioural Targeting, Kluwer Law International 2015, chapter 3 and 4). Mainly Section V…
Authors not listed
Next Generation Risk Assessment (NGRA) promotes animal-free, exposure-informed, and hypothesis-driven approaches to chemical safety assessment. In silico tools, such as quantitative structure-activity relationship (QSAR) models, are valuable new approach methodologies (NAMs) for use in NGRA. However, the practical…
Manaswitha Edupalli, Tivadar Péter Török, Madhava Jay, Keelan Jordan + 5 more
Biomedical datasets representing diverse populations are essential for advancing precision medicine, yet remain siloed due to regulatory, sovereignty, and privacy constraints. Existing data-sharing solutions remain limited. Centralized repositories and Trusted Research Environments (TREs) require data migration into…
Juha-Pekka Soininen, Carlos Fernández Sánchez, Stefano Modafferi, Stuart Campbell + 5 more
This paper presents an interoperability architecture for data spaces (DSIA), allowing members of the different data spaces using different technologies and services to exchange data. The DSIA builds on the existing trust of data space members and extends it through shared agreements and additional federation and…
Renato Liguori, Michael Huttner, Fulvia Ferrazzi
Next-generation sequencing (NGS) projects generate increasingly complex metadata that are critical for reproducibility, interoperability, and compliance with FAIR principles. Nevertheless, metadata curation in multi-institutional settings often still relies on spreadsheets, manual data entry and curation, as well as…
Concetta Tania Di Iorio, Elettra Ronchi, Ivan Pristas, Tamara Buble + 2 more
Background The Collaborative Health Information European Framework (CHIEF) supports consistent monitoring of quality of care and outcomes, through a cohesive information infrastructure aligned with legal and ethical standards, to ensure preparedness to the European Health Data Space (EHDS). We aimed to define, develop…
Frederik Zuiderveen Borgesius, Jonathan Gray, Mireille van Eechoud
† Frederik Zuiderveen Borgesius is a post-doctoral researcher at the Institute for Information Law, University of Amsterdam Law School, The Netherlands. Jonathan Gray is a Research Associate at the Digital Methods Initiative, University of Amsterdam and Director of Policy and Research at Open Knowledge. Mireille van…
Chen Chen, Yuanyuan Liu, Lei Wang, Jingyi Sai + 8 more
With the rapid accumulation of diverse omics datasets, achieving efficient management and integrative analysis of plant multi-omics data remains a major challenge. Conventional solutions rely on constructing web-based databases, which often demand substantial programming expertise and long-term financial support. To…
Charlie AK Roberts, Anna Nilsson-Takeuchi, Charlotte Stuart, Martin Chivers + 4 more
The Clinical Omics System for Metadata and Outcome Storage (COSMOS) is an open-source, FAIR- and GCP aligned clinical trial unit (CTU) infrastructure designed to streamline the transition of academic clinical and multi-omic trial datasets into curated, analysis-ready repositories within Secure Data Environments (SDEs).…