A State-of-the-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement by Xiaomeng Shi, Zhirui Ye, Nirajan Shiwakoti, Offer Grembek

“…We put emphasis on the need for the future global collaborative efforts on data sharing for the complex crowd movements.…”
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Distributed training of foundation models for ophthalmic diagnosis by Sina Gholami, Fatema-E Jannat, Atalie Carina Thompson, Sally Shin Yee Ong, Jennifer I. Lim, Theodore Leng, Hamed Tabkhivayghan, Minhaj Nur Alam

“…This approach supports collaborative model development without data sharing, providing a scalable, privacy-preserving solution for effective retinal disease screening and diagnosis in diverse clinical settings.…”
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An annotated heterogeneous ultrasound database by Yuezhe Yang, Yonglin Chen, Xingbo Dong, Junning Zhang, Chihui Long, Zhe Jin, Yong Dai

“…It includes 13 different ultrasound image anomalies, and all data have been anonymized. Our data-sharing program aims to support benchmark testing of ultrasound disease diagnosis in multi-center environments.…”
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Evaluating the Impact of Face Anonymization Methods on Computer Vision Tasks: A Trade-Off Between Privacy and Utility by Roland Stenger, Steffen Busse, Jonas Sander, Thomas Eisenbarth, Sebastian Fudickar

“…Data anonymization is an essential prerequisite that enables data sharing in a privacy-preserving manner. However, anonymization affects the quality of the data and thus might affect the performance of later conducted data analysis. …”
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Practice of comorbidity management based on community chronic disease health management support centers: an introduction and discussion by Mengyun SUI, Sheng ZHANG, Yuheng WANG, Qinghua YAN, Fei WU, Chen FU, Minna CHENG, Yan SHI

“…Shanghai city has developed a comprehensive and closed-loop chronic disease health management system, which includes pre-diagnosis risk assessment and identification with tagged classification, intra-diagnosis standardized monitoring, data sharing integration, multidisciplinary collaboration, decision support, and post-diagnosis complication screening, intelligent follow-up, patient self-management, standardized health education, and re-evaluation. …”
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NASSDA as a Data-Collaborative Network to Enhance Social Science Research in East Asia by Pei-Shan Liao, Shuai Wang, Hiroshi Ishida, Hearan Koo, Won-ho Park

“…International organizations that promote data sharing and collaboration among data depositories have emerged globally and regionally. …”
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Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review by Sejun Oh, SangHeon Lee

“…Cloud platforms offer new possibilities for data sharing and collaboration in rehabilomics research, underpinning a patient-centered approach and enhancing the development of personalized therapeutic strategies. …”
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Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise by Hongwei Fan, Ceyi Xue, Xuhui Zhang, Xiangang Cao, Shuoqi Gao, Sijie Shao

“…Each kind of sample research compares the impact of thirteen data sharing schemes on the TL accuracy and efficiency, and finally, the test accuracy and time index are introduced to evaluate the model. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…Unlike traditional privacy protection schemes, our approach employs a novel tripartite blockchain architecture that segregates healthcare data across distinct blockchains for patients and healthcare providers while introducing a separate social blockchain to enable privacy-preserving data sharing with authorized external entities. This structure enhances both security and transparency while fostering collaborative efforts across different stakeholders. …”
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THE ANALYSIS OF THE KEY DRIVERS AND BARRIERS OF CLOUD MIGRATION IN COMPANIES IN BOSNIA AND HERZEGOVINA by Kasim Tatić, Zijad Džafić, Mahir Haračić, Merima Haračić

“…According to the re-search results, the respondents believe the key drivers of cloud migration comprise the following: improving effi-ciency, enabling more extensive data sharing capabilities, improving security, increasing innovations, reducing costs. …”
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A Review of AI Applications in Unconventional Oil and Gas Exploration and Development by Feiyu Chen, Linghui Sun, Boyu Jiang, Xu Huo, Xiuxiu Pan, Chun Feng, Zhirong Zhang

“…Based on existing work, this paper proposes the following future research directions: establishing standardized data sharing and labeling systems; integrating domain knowledge with engineering mechanisms; and advancing interpretable modeling and transfer learning techniques. …”
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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

“…The proposed model-agnostic FEL algorithm shows its effectiveness in precise SoH estimation through efficient data sharing among stakeholders and could bring significant benefits for realizing data-centric intelligent solutions for connected EVs.…”
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Effect of electrical stimulation with a cochlear implant on tinnitus impact: protocol of an individual patient data meta-analysis by Inge Stegeman, Adriana L Smit, Kelly Assouly

“…Methodological quality of eligible studies will be assessed using the Risk of Bias In Non-randomised Studies of Intervention tool (ROBINS-I). Based on a data-sharing agreement, authors of the eligible studies will be invited to share their deidentified and complete IPD. …”
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Tree mapping and carbon inventory on a university campus in South Korea: Case study and global review by Songhee Lee, Woo Bin Park, Seungmin Lee, Jeong‐Min Lee, Yowhan Son, Tae Kyung Yoon

“…This review identified the following challenges: (1) Few cases have been reported outside North America, (2) publications and data sharing are limited, and (3) participants' experiences have not been evaluated. …”
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Inter-Cloud Data Security Framework to Build Trust Based on Compliance with Controls by Syed Imran Akhtar, Abdul Rauf, Muhammad Faisal Amjad, Ifra Batool

“…Therefore, this paper proposes an inter-cloud data security framework, which is a set of controls and a mechanism to measure trust for data sharing based on compliance with the controls. The proposed framework for building inter-cloud trust for data security (FBI-TDS) defines a set of data security controls extracted to cover the possible data-related threats linked with various inter-cloud use cases. …”
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Research on IFC- and FDS-Based Information Sharing for Building Fire Safety Analysis by Jianyong Shi, Jicao Dao, Liu Jiang, Zeyu Pan

“…Although nowadays building information modeling (BIM) has become a buzzword in the Architecture, Engineering, and Construction (AEC) field to facilitate information integration and interoperability, data sharing and exchange are still weak in the traditional interoperability between BIM applications and fire simulation software, since the data schema of them are totally different. …”
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Understanding transmission pathways and integrated digital surveillance potential of antimicrobial resistance in Ethiopia in a One Health approach: a mixed-method study protocol by Muhammad Asaduzzaman, Christoph Gradmann, Andrea Sylvia Winkler, Zeleke Mekonnen, Ernst Kristian Rodland

“…In addition, the new European Union Global Data Protection Guidelines for data sharing, storage and protection will be followed. …”
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Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues by Robel Alemu, Nigussie T. Sharew, Yodit Y. Arsano, Muktar Ahmed, Fasil Tekola-Ayele, Tesfaye B. Mersha, Azmeraw T. Amare

“…We highlight the need for standardized protocols, harmonized data-sharing policies, and advanced approaches such as artificial intelligence/machine learning to integrate multi-omics data and study gene-environment interactions. …”
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Every little helps: exploring meat and animal product consumption in the Tesco 1.0 dataset by Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann

“…We also combined the Tesco 1.0 dataset with datasets from the London Datastore (a free and open data-sharing portal that provides over a thousand datasets to understand the city and develop solutions to its problems), and identified several demographic factors as predictors for the meat consumption. …”
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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

“…Five main themes were identified as areas for optimising data use: (1) measuring what matters, (2) increasing data linkages, (3) improving data quality, (4) facilitating data sharing and (5) optimising fit for use analysis.Conclusions To make primary care prescribing data useful for improving quality, consolidated patient-specific data on the indication for a prescription and dispensed medicine, over time, is needed. …”
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