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Journal articles on the topic 'Data sharing system'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Yoon, Jee-Hee, Dong-Wan Hong, and Jong-Keun Lee. "Microarray Data Sharing System." Journal of the Korea Contents Association 9, no. 8 (2009): 18–31. http://dx.doi.org/10.5392/jkca.2009.9.8.018.

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Kumar, Gaurav. "Blockchain Based Data Sharing System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6175–80. https://doi.org/10.22214/ijraset.2025.69805.

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With the exponential increase of digital data, safe and efficient data sharing has become an important challenge. Traditional centralized systems face issues such as data violations, lack of transparency and single point of failure. Blockchain technology provides a decentralized, tampering-proof and transparent solution to share data in many stakeholders. This paper examines the architecture, benefits, challenges and potential applications of the blockchain-based data sharing system. We analyze various consensus mechanisms, smart contracts and cryptographic techniques that increase security an

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Bergren, Martha Dewey, and Kathleen Johnson. "Data Sharing." NASN School Nurse 34, no. 4 (2019): 211–13. http://dx.doi.org/10.1177/1942602x19852934.

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The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, and destroying data. A May 2019 NASN School Nurse article, “Data Governance and Stewardship,” addressed who is accountable for the data life cycle within a school system. This article will discuss data sharing, the ethics, and the steps that must be taken to share data responsibly. As discussed in the previous article, policies and procedures about data sharing are available in every school district. Frequently, the guidelines pertain only to sharing personally identifia

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Yang, Qing, Xue Min Yao, and Ze Jun Liu. "Analysis of Meteorological Data Sharing System." Applied Mechanics and Materials 608-609 (October 2014): 1098–103. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.1098.

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With the development of meteorology science, the sources of meteorological data materials are numerous, and the data scale is becoming larger and larger. How to rapidly analyze these data to obtain accurate weather forecast is a problem in meteorological science development. This paper, according to meteorological data features, selects reasonable development scheme, adopts database storage technology to conduct regulatory storage of data materials, uses JAVA to establish query platform and adopts the commonly used MICAPS and GrADS technology in meteorological service department in China for d

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Ives, Zachary G., Todd J. Green, Grigoris Karvounarakis, et al. "The ORCHESTRA Collaborative Data Sharing System." ACM SIGMOD Record 37, no. 3 (2008): 26–32. http://dx.doi.org/10.1145/1462571.1462577.

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Ul Islam, Atowar, Samarjit Das, Aniruddha Deka, Chinmoy Bharadwaj, and Priyanka Sarma. "A BlockChain-Based IoT Data Securing and Sharing System for Attendance Management." Indian Journal Of Science And Technology 17, no. 23 (2024): 2430–43. http://dx.doi.org/10.17485/ijst/v17i23.1981.

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Objective: An Internet of Things (IoT) network has constraints on power consumption, processing power and security of end devices in the network. On the other hand, blockchain technology has some difficulties in storage capacity, data privacy, the ability to revoke consent, energy usage, scalability, and speed. To overcome the individual limitations of these two technologies, we integrate these two to propose a new design with an intention to authenticate, secure and share data pertaining to attendance system. In this present work the primary implementation details of our proposed work regardi

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Cui, Shuguang, and Haixia Wang. "Blockchain-based data sharing algorithm in distributed network data storage." Journal of Computational Methods in Sciences and Engineering 24, no. 1 (2024): 427–44. http://dx.doi.org/10.3233/jcm-237038.

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This paper proposes a sharing algorithm based on blockchain principles to address the issues of data sharing, low efficiency, and performance in traditional systems. The algorithm is integrated with the domain name system to develop a data storage system based on blockchain. The performance of the sharing algorithm is evaluated, and the data storage system is tested. This demonstrates that the sharing algorithm’s average latency is 436 ms and average throughput is 5439 tps. Furthermore, it outperforms the other comparison algorithms. Additionally, the study conducts performance experiments to

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Awad, Mamoun, Latifur Khan, and Bhavani Thuraisingham. "Policy Enforcement System for Inter-Organizational Data Sharing." International Journal of Information Security and Privacy 4, no. 3 (2010): 22–39. http://dx.doi.org/10.4018/jisp.2010070102.

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Sharing data among organizations plays an important role in security and data mining. In this paper, the authors describe a Data Sharing Miner and Analyzer (DASMA) system that simulates data sharing among N organizations. Each organization has its own enforced policy. The N organizations share their data based on trusted third party. The system collects the released data from each organization, processes it, mines it, and analyzes the results. Sharing in DASMA is based on trusted third parties. However, organizations may encode some attributes, for example. Each organization has its own policy

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Chen, Jun, Jiangyao Wu, Zhenghao Qian, Lei Li, and Zaoxian Zheng. "Industrial Chain Data Sharing and Circulation of Blockchain and Big Data Technology." Wireless Communications and Mobile Computing 2022 (July 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/7719036.

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In the era of big data, the value of data is infinite. With the development of the Internet of Things, everything is interconnected, and the sharing and circulation of data are particularly important. This paper was aimed at studying the data sharing system based on blockchain and big data technology. Based on blockchain and big data technology, this paper proposes a data-sharing system based on an HDFS file system. And it strengthens the security of data sharing based on blockchain technology, proposes a security key for industrial data, and greatly upgrades the security of data sharing. Expe

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WANG, Dan, and Mao-zeng LI. "Query sharing model in data stream system." Journal of Computer Applications 29, no. 11 (2009): 3084–87. http://dx.doi.org/10.3724/sp.j.1087.2009.03084.

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Lee, Jong-Won, Han-Kyung Kim, and Hoe-Kyung Jung. "Mobile Fitness System Based User Data Sharing." International Journal of Bio-Science and Bio-Technology 8, no. 3 (2016): 307–14. http://dx.doi.org/10.14257/ijbsbt.2016.8.3.31.

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Jain, Meenu, and Manisha Jalia. "Blockchain-Based Data Sharing Approach Considering Educational Data." International Journal of Information Security and Privacy 16, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijisp.303666.

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The innovation of cloud computing technologies gained huge interest wherein more individuals started to outsource their data to cloud-based servers. However, open networks and untrusted cloud platforms face privacy and security issues while outsourcing data to the cloud. The proposed Blockchain-based data sharing mechanism effectively solves failure issues of the cloud storage system and provides several benefits by maximizing throughput. This framework embeds the Interplanetary File System and blockchain for effective data sharing between cloud owners and the requester. Here, the system compr

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Giuliani, Gregory, Nicolas Ray, Stefan Schwarzer, et al. "Sharing Environmental Data through GEOSS." International Journal of Applied Geospatial Research 2, no. 1 (2011): 1–17. http://dx.doi.org/10.4018/jagr.2011010101.

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Understanding the complexity of earth-system processes is crucial to convey improved information on the environment to decision-makers and the general public. Addressing this need by sharing environmental data is challenging because it requires a common agreed framework that allows easy and seamless integration of data from different sources. In this regard, the Global Earth Observation System of Systems (GEOSS) portends major benefits through various sharing mechanisms and by giving access to services that could be linked together to process and generate new understandable knowledge and infor

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Zheng, Xuying, Fang Miao, Piyachat Udomwong, and Nopasit Chakpitak. "Registered Data-Centered Lab Management System Based on Data Ownership Safety Architecture." Electronics 12, no. 8 (2023): 1817. http://dx.doi.org/10.3390/electronics12081817.

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University and college laboratories are important places to train professional and technical personnel. Various regulatory departments in colleges and universities still rely on traditional laboratory management in research projects, which are prone to problems such as untimely information and data transmission. The present study aimed to propose a new method to solve the problem of data islands, explicit ownership, conditional sharing, data safety, and efficiency during laboratory data management. Hence, this study aimed to develop a data-centered lab management system that enhances the safet

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Ma, T. H., W. Tian, B. Wang, D. H. Guan, and S. Y. Lee. "Weather data sharing system: an agent-based distributed data management." IET Software 5, no. 1 (2011): 21. http://dx.doi.org/10.1049/iet-sen.2009.0027.

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Guo, Huadong, Jianbo Liu, An Li, and Jianguo Zhang. "Earth observation satellite data receiving, processing system and data sharing." International Journal of Digital Earth 5, no. 3 (2012): 241–50. http://dx.doi.org/10.1080/17538947.2012.669963.

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Jin, Hye Rin, and Chang Kil Lee. "Research on Effective Establishment of Disaster Safety Knowledge Sharing System." Crisis and Emergency Management: Theory and Praxis 13, no. 6 (2023): 39–48. http://dx.doi.org/10.14251/jscm.2023.6.39.

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Recently, data-based administration is being activated to strengthen the ability to predict and respond to disasters. Accordingly, the importance of efficient decision-making using disaster safety information and data and preparation of prediction and response plans is emerging. Therefore, this study analyzed the current state of the disaster safety management information system for practical collection and sharing of distributed disaster safety data and information and application of a user-centered sharing platform. Problems were derived and the development direction of the disaster safety d

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Seema, Shivapur, J. Najmusher, Tabassum Husna, and N. R. Deepak. "Personal Health Record Sharing Scheme using Blockchain Technique." Journal of Advancement in Software Engineering and Testing 4, no. 3 (2022): 1–7. https://doi.org/10.5281/zenodo.5925190.

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<em>In this article we offer a new safe EHR sharing system with verified data integrity based on blockchain and cloud computing. The new system uses symmetric encryption and attributes-based encryption techniques to achieve privacy protection and fine-grained access controls in the process of personal health record sharing, aiming at the issues of data protection and loss of control rights during personal health record sharing. Compared with current systems, the new system enables patients to give private key attributes to users, which prevents many security issues. </em> <em>In addition, the

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Yu, J., L. Wu, Y. Yang, X. Lei, and W. He. "Global Data Spatially Interrelate System for Scientific Big Data Spatial-Seamless Sharing." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 125–30. http://dx.doi.org/10.5194/isprsarchives-xl-6-125-2014.

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A good data sharing system with spatial-seamless services will prevent the scientists from tedious, boring, and time consuming work of spatial transformation, and hence encourage the usage of the scientific data, and increase the scientific innovation. Having been adopted as the framework of Earth datasets by Group on Earth Observation (GEO), Earth System Spatial Grid (ESSG) is potential to be the spatial reference of the Earth datasets. Based on the implementation of ESSG, SDOG-ESSG, a data sharing system named global data spatially interrelate system (GASE) was design to make the data sharin

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Han, Jianliang. "Rational Planning of Educational Resources Based on Big Data Fusion." International Journal of Web-Based Learning and Teaching Technologies 18, no. 2 (2023): 1–12. http://dx.doi.org/10.4018/ijwltt.331086.

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The education system in China's education industry has been undergoing continuous reform. The current educational resources integration and sharing system is inefficient and needs a lot of time to find resources, which greatly affects the efficiency of education. The integration and sharing of educational resources have become unavoidable problems in teaching. In order to solve this problem, this paper takes the rational planning of educational resources as the research object, analyzes the problems faced by the integration and sharing of educational resources, discusses the main direction of

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ZHU, Yunqiang, Jiulin SUN, Shunbao LIAO, et al. "Earth System Scientific Data Sharing Research and Practice." Geo-information Science 12, no. 1 (2010): 1–8. http://dx.doi.org/10.3724/sp.j.1047.2010.00001.

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22

Johnson, Kenneth G., Harry F. Filkorn, and Mary Stecheson. "A collaborative system for sharing paleontology collections data." Geosphere 1, no. 2 (2005): 61. http://dx.doi.org/10.1130/ges00011.1.

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23

Yu, Ho-jei, Chan-hee Kim, Ye-rim Cho, Sung-sik Im, and Soo-hyun Oh. "A Study on Cybersecurity Data Sharing System Model with a Hierarchical Structure for Effective Data Sharing." Jouranl of Information and Security 22, no. 1 (2022): 39–54. http://dx.doi.org/10.33778/kcsa.2022.22.1.039.

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Ma, Xinwei, Ruiming Cao, and Yuchuan Jin. "Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach." Information 10, no. 5 (2019): 163. http://dx.doi.org/10.3390/info10050163.

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The main objective of this study is to explore the spatiotemporal activities pattern of bicycle sharing system by combining together temporal and spatial attributes variables through clustering analysis method. Specifically, three clustering algorithms, i.e., hierarchical clustering, K-means clustering, expectation maximization clustering, are chosen to group the bicycle sharing stations. The temporal attributes variables are obtained through the statistical analysis of bicycle sharing smart card data, and the spatial attributes variables are quantified by point of interest (POI) data around b

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Fukuda, Hiroaki, Ryota Gunji, Tadahiro Hasegawa, Paul Leger, and Ismael Figueroa. "DSSM: Distributed Streaming Data Sharing Manager." Sensors 21, no. 4 (2021): 1344. http://dx.doi.org/10.3390/s21041344.

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Developing robot control software systems is difficult because of a wide variety of requirements, including hardware systems and sensors, even though robots are demanding nowadays. Middleware systems, such as Robot Operating System (ROS), are being developed and widely used to tackle this difficulty. Streaming data Sharing Manager (SSM) is one of such middleware systems that allow developers to write and read sensor data with timestamps using a Personal Computer (PC). The timestamp feature is essential for the robot control system because it usually uses multiple sensors with their own measure

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Ueda, Hideki, Taishi Yamada, Takahiro Miwa, Masashi Nagai, and Takanori Matsuzawa. "Development of a Data Sharing System for Japan Volcanological Data Network." Journal of Disaster Research 14, no. 4 (2019): 571–79. http://dx.doi.org/10.20965/jdr.2019.p0571.

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In Japan, a number of universities, research institutes, and administrative organizations continue to conduct observations on volcanoes according to their respective roles. They also promote the distribution and sharing of observation data and have collaborated with each other. Japan Volcanological Data Network (JVDN) is a framework that strengthens this cooperation, promotes volcano research, and contributes to volcanic disaster mitigation. In this paper, we report the overview, progress, tasks, and future prospects of the system being developed for JVDN that was initiated in 2016. The observ

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RAHMAN, MD ANISUR, MD MEHEDI MASUD, ILUJU KIRINGA, and ABDULMOTALEB EL SADDIK. "A PEER DATA SHARING SYSTEM COMBINING SCHEMA AND DATA LEVEL MAPPINGS." International Journal of Semantic Computing 03, no. 01 (2009): 105–29. http://dx.doi.org/10.1142/s1793351x09000677.

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Peer data sharing systems use either schema-level or data-level mappings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings create structural relationships among different schemas. On the other hand, data-level mappings associate data values in two different sources. These two kinds of mappings are complementary to each other. However, existing peer database systems have been based solely on either one of these mappings. We believe that if both mappings are addressed simultaneously in a single framework, the resulting approach will enhance data sh

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Nappo, A., and M. Giacomini. "An Experience of Microbiological Data Sharing." Methods of Information in Medicine 45, no. 02 (2006): 195–99. http://dx.doi.org/10.1055/s-0038-1634050.

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Summary Objectives: The control of infections and their resistance to antibiotics in hospitals is a matter of vital importance in the follow-up of transplant patients. This project has the purpose of translating microbiological reports from an obsolete file structure to a system which could guarantee a more correct and quick transmission of data, a system of storage which reduces the possibility of errors, a smoother manipulation, consultation and updating of data and, at least, a simple way to compute the cost of analysis, based on the costs determined by the national’s DRG. Methods: The prop

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JASPERLINE, DR T. "Riding Partner Sharing System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49218.

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Abstract - The Riding Partner Sharing System is a web-based application designed to help individuals find and connect with others traveling on similar routes. This system aims to promote carpooling and reduce traffic congestion, fuel consumption, and environmental impact. By entering details such as start location, destination, travel date, and time, users can either create a ride or search for available rides that match their route. The platform allows users to view profiles, contact potential ride partners, and confirm ride-sharing arrangements. Developed using Python (Flask) for backend pro

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Mongeon, Philippe, Nicolas Robinson-Garcia, Wei Jeng, and Rodrigo Costas. "Incorporating data sharing to the reward system of science." Aslib Journal of Information Management 69, no. 5 (2017): 545–56. http://dx.doi.org/10.1108/ajim-01-2017-0024.

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Purpose It is widely recognized that sharing data is beneficial not only for science but also for the common good, and researchers are increasingly expected to share their data. However, many researchers are still not making their data available, one of the reasons being that this activity is not adequately recognized in the current reward system of science. Since the attribution of data sets to individual researchers is necessary if we are to include them in research evaluation processes, the purpose of this paper is to explore the feasibility of linking data set records from DataCite to the

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Chen, Junhua. "Incentive Machine for Health Data Sharing in Medical Device Supply Chain System Research." Academic Journal of Science and Technology 14, no. 2 (2025): 215–23. https://doi.org/10.54097/hpjwxc16.

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With the wide application of medical devices in the medical field, health data sharing in the medical device supply chain has become more and more important. Health data sharing can not only improve the efficiency and quality of medical services, but also provide important data support for the R&D, production and use of medical devices, so as to promote the innovation and progress of medical technology. However, due to privacy protection, data security, benefit distribution and other issues, health data sharing in the medical device supply chain is facing a series of challenges. First, pri

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Ogino, Tadashi. "Multimedia Data Sharing and Autonomous Configuration with the Short-Range Information Sharing System NAMI." International Journal of UbiComp 15, no. 2/3/4 (2024): 01–16. http://dx.doi.org/10.5121/iju.2024.15401.

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SHONAN, an advanced system harmonizing human capabilities and information technology (IT), was introduced in light of the COVID-19 pandemic, which prompted the shift of office workers and school students to online platforms. In addition, a specific application of SHONAN, referred to as the narrow area communication system (NAMI), was previously implemented, exclusively sharing text-based information. Further, NAMI uses Bluetooth low energy (BLE) to exchange messages; however, it is difficult to exchange large data. In this paper, we have confirmed that it is possible to exchange large data usi

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Jiang, Weiwei, and Bin Liu. "Intelligent Hotel Resource Sharing System Based on Data Fusion." Wireless Communications and Mobile Computing 2022 (July 19, 2022): 1–8. http://dx.doi.org/10.1155/2022/7439903.

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In order to further develop cross-platform hotel resource sharing, a cross-platform comparative study of user review text of intelligent hotel resource sharing system based on data fusion is proposed. X hotel reservation platform and Z short-term rental platform were selected as the experimental objects, and 86,635 user comment texts of relevant housing sources in a city were collected. Cross-platform comparative analysis of user text comments was conducted by combining the LDA model-themed social network and the theme sentiment analysis method. The experiment result shows the following: Based

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Agrahari Baniya, A., K. Murphy, and S. Williams. "Integrated pollination traceability system for data sharing and transparency." Acta Horticulturae, no. 1395 (May 2024): 241–48. http://dx.doi.org/10.17660/actahortic.2024.1395.32.

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Dueker, Kenneth J., and J. Allison Butler. "A geographic information system framework for transportation data sharing." Transportation Research Part C: Emerging Technologies 8, no. 1-6 (2000): 13–36. http://dx.doi.org/10.1016/s0968-090x(00)00006-1.

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Khan, Mohammad A., Laurent Yeh, Karine Zeitouni, and Cristian Borcea. "MobiStore: A system for efficient mobile P2P data sharing." Peer-to-Peer Networking and Applications 10, no. 4 (2016): 910–24. http://dx.doi.org/10.1007/s12083-016-0450-7.

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du Croix, A. J. "Data sharing and access protection in business system 12." Computers & Security 4, no. 4 (1985): 317–23. http://dx.doi.org/10.1016/0167-4048(85)90050-1.

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Fang, Liming, Chunpeng Ge, Zhiqiu Huang, and Jiandong Wang. "Privacy preserving cloud data sharing system with flexible control." Computers & Electrical Engineering 70 (August 2018): 978–86. http://dx.doi.org/10.1016/j.compeleceng.2018.02.048.

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Froelicher, David, Patricia Egger, João Sá Sousa, et al. "UnLynx: A Decentralized System for Privacy-Conscious Data Sharing." Proceedings on Privacy Enhancing Technologies 2017, no. 4 (2017): 232–50. http://dx.doi.org/10.1515/popets-2017-0047.

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Abstract Current solutions for privacy-preserving data sharing among multiple parties either depend on a centralized authority that must be trusted and provides only weakest-link security (e.g., the entity that manages private/secret cryptographic keys), or leverage on decentralized but impractical approaches (e.g., secure multi-party computation). When the data to be shared are of a sensitive nature and the number of data providers is high, these solutions are not appropriate. Therefore, we present UnLynx, a new decentralized system for efficient privacy-preserving data sharing. We consider m

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Xiao, Yao, Lei Xu, Zikang Chen, Can Zhang, and Liehuang Zhu. "A Blockchain-Based Data Sharing System with Enhanced Auditability." Mathematics 10, no. 23 (2022): 4494. http://dx.doi.org/10.3390/math10234494.

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Cloud platforms provide a low-cost and convenient way for users to share data. One important issue of cloud-based data sharing systems is how to prevent the sensitive information contained in users’ data from being disclosed. Existing studies often utilize cryptographic primitives, such as attribute-based encryption and proxy re-encryption, to protect data privacy. These approaches generally rely on a centralized server which may cause a single point of failure problem. Blockchain is known for its ability to solve such a problem. Some blockchain-based approaches have been proposed to realize p

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Xue, Zhaokun, and Alva Couch. "A recommendation system for scientific water data." International Journal of Data Science and Analytics 12, no. 1 (2021): 61–75. http://dx.doi.org/10.1007/s41060-021-00255-3.

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AbstractWe describe a recommendation system for HydroShare, a platform for scientific water data sharing. We discuss similarities, differences and challenges for implementing recommendation systems for scientific water data sharing. We discuss and analyze the behaviors that scientists exhibit in using HydroShare as documented by users’ activity logs. Unlike entertainment system users, users on HydroShare tend to be task-oriented, where the set of tasks of interest can change over time, and older interests are sometimes no longer relevant. By validating recommendation approaches against user be

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Li, Hui-chao, and Shun-fa Shen. "Construction of College Students’ Physical Health Data Sharing System Based on Django Framework." Journal of Sensors 2021 (November 1, 2021): 1–7. http://dx.doi.org/10.1155/2021/3859351.

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In view of the current situation of college students’ physical health affected by the learning environment and living environment, which leads to the low level of students’ physical health and the lack of understanding of students’ physical health, this paper puts forward the construction of college students’ physical health data sharing system based on Django framework. By analyzing the feasibility of constructing the data sharing system of college students’ physical health, this paper constructs the organizational framework of the data sharing system of college students’ physical health and

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Rajkumar Rajasekaran, Et al. "Data Sharing based on Facial Recognition Clusters." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2351–59. http://dx.doi.org/10.17762/ijritcc.v11i9.9243.

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The evolution of computer vision technologies has led to the emergence of novel applications across various sectors, with face detection and recognition systems taking center stage. In this research paper, we present a comprehensive examination and implementation of a face detection project that harnesses the cutting-edge face recognition model. Our primary aim is to create a reliable and effective system that can be seamlessly integrated into functions allowing users to input their image to capture their facial features, subsequently retrieving all images linked to their identity from a datab

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Mohanty, Dr Rajnikanth. "BlockShare – Blockchain Based Secure Data Sharing Platform." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46157.

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Abstract - In the rapidly advancing digital era, the requirement for secure, transparent, and reliable data-sharing mechanisms has become increasingly critical across various sectors. Traditional centralized data-sharing models suffer from inherent limitations, including vulnerability to data breaches, unauthorized access, single points of failure, and insufficient transparency in data access and audit trails. These challenges compromise not only the confidentiality and integrity of sensitive data but also erode stakeholder trust in digital systems. To overcome these issues, this paper present

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Dorch, Bertil F., Thea M. Drachen, and Ole Ellegaard. "The data sharing advantage in astrophysics." Proceedings of the International Astronomical Union 11, A29A (2015): 172–75. http://dx.doi.org/10.1017/s1743921316002696.

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AbstractWe present here evidence for the existence of a citation advantage within astrophysics for papers that link to data. Using simple measures based on publication data from NASA Astrophysics Data System we find a citation advantage for papers with links to data receiving on the average significantly more citations per paper than papers without links to data. Furthermore, using INSPEC and Web of Science databases we investigate whether either papers of an experimental or theoretical nature display different citation behavior.

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Zhang, Jingchi, and Anwitaman Datta. "Blockchain-enabled data governance for privacy-preserved sharing of confidential data." PeerJ Computer Science 10 (December 20, 2024): e2581. https://doi.org/10.7717/peerj-cs.2581.

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In traditional cloud storage systems, users benefit from the convenience of data accessibility but face significant risks related to security. Ciphertext-policy attribute-based encryption (CP-ABE) schemes are employed to achieve fine-grained access control in cloud services to ensure confidentiality while maintaining data-sharing capabilities. However, existing approaches are impaired by two critical issues: illegal authorization and privacy leakage. Despite extensive discussions in the literature on interoperability, performance, scalability, and stability, the security of ABE-based cloud sto

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Lücking, Markus, Felix Kretzer, Niclas Kannengießer, Michael Beigl, Ali Sunyaev, and Wilhelm Stork. "When Data Fly: An Open Data Trading System in Vehicular Ad Hoc Networks." Electronics 10, no. 6 (2021): 654. http://dx.doi.org/10.3390/electronics10060654.

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Communication between vehicles and their environment (i.e., vehicle-to-everything or V2X communication) in vehicular ad hoc networks (VANETs) has become of particular importance for smart cities. However, economic challenges, such as the cost incurred by data sharing (e.g., due to power consumption), hinder the integration of data sharing in open systems into smart city applications, such as dynamic environmental zones. Moving from open data sharing to open data trading can address the economic challenges and incentivize vehicle drivers to share their data. In this context, integrating distrib

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Gao, Xiao-Yan, Radhya Sahal, Gui-Xiu Chen, Mohammed H. Khafagy, and Fatma A. Omara. "Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink." Complexity 2020 (December 4, 2020): 1–25. http://dx.doi.org/10.1155/2020/6617149.

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Multiway join queries incur high-cost I/Os operations over large-scale data. Exploiting sharing join opportunities among multiple multiway joins could be beneficial to reduce query execution time and shuffled intermediate data. Although multiway join optimization has been carried out in MapReduce, different design principles (i.e., in-memory Big Data platforms, Flink) are not considered. To bridge the gap of not considering the optimization of Big Data platforms, an end-to-end multiway join over Flink, which is called Join-MOTH system (J-MOTH), is proposed to exploit sharing data granularity,

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Yu, Xin Wen, Hong Yu Liu, Yan Chen Yang, Xu Zhang, and Ying Wu Li. "GeoServer Based Forestry Spatial Data Sharing and Integration." Applied Mechanics and Materials 295-298 (February 2013): 2394–98. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2394.

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Spatial data is becoming increasingly important in forestry resource management and decision making. However, huge amount of accumulated spatial data were not fully utilized due to the difficulty of sharing and integration. A forest spatial data sharing and integration system was developed based on GeoServer. A distributed architecture was adopted to address the data storage in different organizations. WMS and WFS were the main service for data sharing and integration. Applications demonstrate that the system can easily share and integrate various spatial data.

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Hu, Mingqi, Yanli Ren, and Cien Chen. "Privacy-Preserving Medical Data-Sharing System with Symmetric Encryption Based on Blockchain." Symmetry 15, no. 5 (2023): 1010. http://dx.doi.org/10.3390/sym15051010.

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Nowadays, data between hospitals are usually not interoperable, which brings great inconvenience to medical data sharing and patients’ medical treatment. In addition, patients do not want their medical data to be leaked during the sharing process. Researchers have employed blockchain to build data-sharing systems to address these issues. However, current systems do not restrict the power of participants, nor do they prevent visitors from sharing the obtained data to unauthorized parties. To address these issues, we propose a private data-sharing system with symmetric encryption for the medical

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