Product Design, Manufacturing & Innovation Resources

أحدث المنشورات وبراءات الاختراع المتعلقة بسيادة البيانات

سيادة البيانات

نصيحة: بالإضافة إلى التحديد أدناه، يمكنك البحث في قاعدتي بياناتنا بالكامل وتصفيتها:

> أداة البحث عن المنشورات المجانية < حسب المؤلف، أو الموضوع، أو الكلمات المفتاحية، أو التاريخ، أو المجلة.

> أداة البحث عن براءات الاختراع المجانية < للحصول على براءات اختراع باللغة الإنجليزية من مكتب براءات الاختراع الأوروبي.

سيادة البيانات
تؤثر سيادة البيانات على تصميم أنظمة البيانات المتوافقة ضمن الأطر القانونية عبر مختلف الولايات القضائية.

Data sovereignty defines the legal and regulatory frameworks governing data storage, processing, and transfer within specific national or regional jurisdictions. This domain addresses the intersection of data localization requirements, privacy laws, and cross-border data flow restrictions, emphasizing compliance with أنظمة such as GDPR, CCPA, and emerging national data protection statutes. Technical and policy-driven approaches focus on cloud infrastructure design, التشفير المعايير, and governance models that ensure data remains subject to applicable legal authorities. The following compilation presents the latest scholarly articles and patented solutions, detailing advancements in data sovereignty enforcement mechanisms, compliance التقنيات, jurisdictional risk assessments, and frameworks for multinational data governance.

هذه هي أحدث مجموعة مختارة لدينا من المنشورات وبراءات الاختراع العالمية باللغة الإنجليزية حول سيادة البيانات، من بين العديد من المجلات العلمية عبر الإنترنت، والمصنفة والمركَزة على سيادة البيانات، وتوطين البيانات، وإقامة البيانات، وتدفق البيانات عبر الحدود، والولاية القضائية للبيانات، وقانون حماية البيانات، وتنظيم خصوصية البيانات، وسيادة البيانات السحابية، وإطار حوكمة البيانات، وسياسات البيانات، وتحديات سيادة البيانات، ومخاطر سيادة البيانات، وإنفاذ سيادة البيانات، واللائحة العامة لحماية البيانات (GDPR).

Data format drift protection for application programming interfaces

Patent published on the 2026-05-28 in US under Ref US20260147922 by CAPITAL ONE SERVICES LLC [US] (Panda Meenakshi [us], Bazler Marek [us], Joshi Rohit [us], Cheng Hao [us], Gupta Ashish Prasad [us])

Abstract: Aspects discussed herein may relate to methods and techniques for scanning application programming interface requests and responses to more readily identify data issues. The system may aggregate one or more data requests and/or responses according to correlated data transactions between devices. The system may then analyze traffic associated with those requests to determine if the responses are consistent with data policies. If a response is out of line with such policies, a system for reporting[...]


Our summary: The content discusses methods for protecting against data format drift in APIs. It involves scanning API requests and responses to identify data issues. The system analyzes traffic to ensure responses align with data policies, providing reporting and correction mechanisms for inconsistencies.

data format drift, API scanning, data policy enforcement, traffic analysis

Patent

Artificial intelligence platform for genetic counseling, hereditary cancer risk assessment, and family pedigree analysis

Patent published on the 2026-04-16 in WO under Ref WO2026078678 by NADERI SEYED HAMID [IR] (Avan Amir [ir], Naderi Seyed Hamid [ir], King-yin Lam Alfred [au], Azzi Angelo [us], Yousefli Zahra [us], Pourali Ghazaleh [us], Shahidsales Soudabeh [ir], Mahmoudian Reihaneh Alsadat [ir], Anvari Kazem [ir], Maftooh Mina [ir], Fiuji Hamid [ir], Akbari Ma)

Abstract: The present invention relates to an artificial intelligence–driven platform designed for comprehensive genetic counseling, hereditary cancer risk assessment, and automated pedigree analysis. The invention integrates genomic data, clinical features, and multigenerational family history through advanced data modeling and machine learning algorithms to enable precise, scalable, and evidence-based genetic consultation. Traditional genetic counseling processes are labor-intensive, requiring manual [...]


Our summary: The platform automates genetic counseling and hereditary cancer risk assessment using AI. It integrates genomic data and family history for precise risk stratification. The system includes modules for data acquisition, processing, pedigree visualization, and actionable recommendations.

artificial intelligence, genetic counseling, hereditary cancer, machine learning

Patent

Federated and distributed architecture for data classification to meet data sovereignty and local data regulations

Patent published on the 2026-03-26 in WO under Ref WO2026064771 by JANGIR DEEPAK KUMAR [US] (Khan Orooj [us], Babar Shafi [us], Le Cuong [us], Mehta Piyush [us], Kr Veeravignesh [us], Jangir Deepak [us])

Abstract: In some embodiments, a method comprises receiving, at a first data store having a first location, a request for data analysis. The request can be sent from a central server at a second location. In some embodiments, the method can comprise extracting text from content and/or metadata of fdes stored at the first data store. The method can comprise analyzing the extracted text according to at least one parameter in the request, thereby producing an analysis. The method can comprise reading a polic[...]


Our summary: The method facilitates data analysis while adhering to local data regulations. It involves extracting and analyzing text from data stored in a first location. Compliance with local policies is ensured by filtering out noncompliant content before sending the analysis to a central server.

Federated architecture, data classification, data sovereignty, distributed system

Patent

A Comprehensive Survey of Cybersecurity Threats and Data Privacy Issues in Healthcare Systems

Published on 2026-02-02 by Ramsha Qureshi, Insoo Koo @MDPI

Abstract: The rapid digital transformation of healthcare has improved clinical efficiency, patient engagement, and data accessibility, but it has also introduced significant cyber security and data privacy challenges. Healthcare IT systems increasingly rely on interconnected networks, electronic health records (EHRs), tele-medicine platforms, cloud infrastructures, and Internet of Medical Things (IoMT) devices, which collectively expand the attack surface for cyber threats. This scoping review maps and sy[...]


Our summary: This survey explores cybersecurity threats and data privacy issues in healthcare systems. It highlights the challenges posed by interconnected networks and various digital platforms. The findings emphasize the need for multi-layered defense strategies and ongoing research to enhance patient data protection.

Cybersecurity, Data Privacy, Healthcare IT, Threat Detection

Publication

Challenges and Strategic Directions

Published on 2026-01-14 by Oumaima Manchadi, Fatima-Ezzahraa Ben-Bouazza, Aymane Edder, Idriss Tafala, Bassma Jioudi @MDPI

Abstract: Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing. Despite its proven effectiveness in several industrial sectors, PdM adoption within the pharmaceutical industry remains comparatively limited due to sector-specific technical, regulatory, and organizational constraints. This paper presents a structured technical analysis of recent academic and industrial works addressing PdM [...]


Our summary: Predictive maintenance enhances reliability and efficiency in pharmaceutical manufacturing. Adoption is hindered by technical, regulatory, and organizational challenges. Hybrid approaches combining physics-based models and data-driven methods can facilitate broader implementation.

Predictive maintenance, pharmaceutical manufacturing, artificial intelligence, data governance

Publication

regulatory challenges, technical solutions, and practical pathways

Published on 2025-02-19 by @OXFORD

Abstract: AbstractThis paper thoroughly explores the complex interplay between blockchain technology and the General Data Protection Regulation (GDPR) of the European Union, alongside the substantial challenges and potential opportunities stemming from their interaction. While the challenges of decentralization and immutability in blockchain are well-documented, this paper advances the discussion by incorporating legal developments, such as evolving interpretations of joint controllership and new advisory[...]


Our summary: This paper examines the regulatory challenges and technical solutions in aligning blockchain technology with GDPR principles, proposing practical pathways for compliance through innovative solutions such as chameleon hashes and zero-knowledge proofs.

blockchain technology, General Data Protection Regulation (GDPR), compliance challenges, innovative solutions

Publication

المواضيع المغطاة: سيادة البيانات، الأطر القانونية، توطين البيانات، قوانين الخصوصية، تدفق البيانات عبر الحدود، الامتثال، اللائحة العامة لحماية البيانات (GDPR)، قانون خصوصية المستهلك في كاليفورنيا (CCPA)، حماية البيانات، البنية التحتية السحابية، معايير التشفير، نماذج الحوكمة، آليات الإنفاذ، تقنيات الامتثال، تقييمات المخاطر القضائية، حوكمة البيانات متعددة الجنسيات، ISO/IEC 27001، ISO/IEC 27018، اللائحة العامة لحماية البيانات (GDPR)، قانون خصوصية المستهلك في كاليفورنيا (CCPA)، ومعيار NIST SP 800-53.

مسرد المصطلحات المستخدمة

Critical Control Points (CCP): مراحل محددة في العملية، حيث يُمكن تطبيق الرقابة لمنع أو القضاء على أو تقليل مخاطر سلامة الغذاء إلى مستويات مقبولة. يُعدّ تحديد هذه النقاط أساسيًا لتحليل المخاطر بفعالية وإدارة الرقابة الحرجة في أنظمة إنتاج الغذاء.

السياق التاريخي

2000
2002
2010
2013
2000
2000
2003
2010
2013-09-24

(إذا كان التاريخ غير معروف أو غير ذي صلة، على سبيل المثال "ميكانيكا الموائع"، يتم توفير تقدير تقريبي لظهوره الملحوظ)

الصور بالحجم الكامل والتنزيلات متاحة فقط 100% مجاناً للأعضاء المسجلين.