Access control model for multi-source heterogeneous data in big data environment by Qiuyue SU, Xingshu CHEN, Yonggang LUO

“…The big data platform is open and shared,but with the increasing amount of data and the complex and variable user access context,the RBAC model is difficult to meet the fine-grained and flexible access control in big data environment.To solve this problem,an access control model for multi-source heterogeneous data in big data platform is proposed.The model dynamically determines role permissions based on attributes and builds a hierarchical structure based on data groups to achieve simple management of data attributes.The model is formally defined,and the implementation and workflow in Hadoop platform are described.The experimental results show that the performance overhead of the proposed scheme is relatively small.…”
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Reference framework for metadata description to commensurate data in grain productionMendeley Data by Katariina Pussi, Petri Linna, Pasi Suomi, Kim Kaustell, Liisa Pesonen

“…Data spaces will bring the need to harmonize the farm collected data for better interoperability. …”
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Landslide susceptibility assessment in scarce-data regions using remote sensing data by Edier Vicente Aristizábal-Giraldo, Diana Ruiz-Vásquez

“…The methodology applied is based on free access remote sensing tools, since the study area is considered a scarce-data zone. The results show that free remote sensing tools provide enough information to run a model as logistic regression and achieve a successful first approach to the landslide susceptibility map of complex terrains as the study area. …”
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Real-time data in cancer registries: Validation of an automated data extraction system by Sylvie A.M. Langhout, Sjoerd J.F. Hermans, Anna J.T. Smit, Elizabeth Berkx, Sophie A. Kurk, Keetje J. Schade, Eduardus F.M. Posthuma, Otto Visser, Jan J. Cornelissen, Peter C. Huijgens, Jurjen Versluis, Maarten van der Wilt, Avinash G. Dinmohamed

“…Summary: Timely surveillance of cancer treatment requires real-time integration of electronic health records (EHR) data into population-based registries. We validated data from the Datagateway, an automated system that harmonizes structured EHR data across hospitals into a common model to support near real-time enrichment of the Netherlands Cancer Registry (NCR). …”
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Secure data sharing technology of medical privacy data in the Web 3.0 by Shusheng Guo, Cheng Chen, Qing Tong

“…It stores the source data in Inter Planetary File System by constructing an index of private data keywords, generates trapdoors using query keywords, and achieves retrieval of ciphertext data. …”
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Mechanism for data recovery as a result of data corruption, infection and/or unauthorized modification by L. V. Cherkesova, V. A. Savelyev, E. A. Revyakina, A. R. Polulyakh, M. A. Sementsov

“…To develop the software module, a reversible incremental backup algorithm was chosen as the most suitable for the developed algorithm and more convenient to use.Conclusion. The proposed data recovery mechanism is a modern solution that ensures the safety of personal files in case of their damage. …”
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Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

“…The proposed data compression algorithm for shearer achieves 99.16% and 91.80% compression rates for switching and analog data, respectively.…”
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Finnish national patient data repository as data source for FINRISK risk calculator by Viljami Männikkö, Henna Kujanen, Joona Munukka, Klaus Förger

“…As the FINRISK risk calculator is often used by inputting structured data into an electronic form, the lack of same inputs in the Kanta PDR highlights incomplete flow of data in the Finnish health data infrastructure. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…However, prediction models are sensitive to the size and distribution of the data they are trained on. ML algorithms rely heavily on vast quantities of training data to make accurate predictions. …”
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A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools by Rifa Andriani Saputri, Asrianda Asrianda, Lidya Rosnita

“…Data from 632 student report cards for grades X and XI in the second semester of the 2023/2024 academic year were used, covering subjects such as Mathematics, Indonesian Language, and others, divided into 80% training data (506 samples) and 20% test data (136 samples). …”
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PENGGUNAAN METODE PESAWAT BERTANYA UNTUK MENINGKATKAN PRESTASI DAN MOTIVASI BELAJAR SISWA KELAS VII-F SMP NEGERI 1 WELERI KABUPATEN KENDAL by Juni Hidayati

“…Implementation research is conducted in two cycles. Data collecting technique consists of two data, test data and non-test. …”
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LEARNING MULTIMEDIA BASED INFORMATION SERVICES by Awik - Hidayati, Ismail Ismail

“…Data analysis technique used in this study was descriptive qualitative data analysis for the implementation of information services and the feasibility of multimedia-based learning information service media. …”
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Pengaruh Strategi Pembelajaran dan Motivasi Belajar terhadap Prestasi Belajar Siswa pada Program Tahfidz Quran by Amalia Dwi Rahmah, Suwandi Suwandi

“…Simple and multiple linear regressions were employed as the data analysis techniques. The research findings indicate that: (1) there is a partial influence between learning strategies and student motivation on Quran memorization achievement at Al-Furqan Junior High School, Madrasatul Quran Tebuireng, Jombang; (2) there is a simultaneous influence between learning strategies and motivation on Quran memorization achievement at Al-Furqan Junior High School, Madrasatul Quran Tebuireng, Jombang. …”
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Penilaian siswa terkait aktivitas guru bimbingan dan konseling dalam meningkatkan prestasi belajar siswa by Hamam Hamam

“…This study aims to determine students' assessment of the activities of school counselor in improving student achievement in high school. Data were collected by using survey to 80 students as research subjects. …”
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HUBUNGAN ANTARA KEMAMPUAN MENYUSUN PARAGRAF DAN MOTIVASI BERPRESTASI DENGAN KETERAMPILAN MENULIS LAPORAN by Haryanto Haryanto

“…Instruments to collect data is a test of skills to write reports, prepare ability test paragraph, and achievement motivation questionnaire. …”
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Attitudes to Learner Autonomy and Learning Strategies in Algerian EFL Context by Ramzi NOUIOUA

“…Correlational analysis of attitudinal data showed significant relationships among perceptions of self-efficacy, self-initiated learning efforts, and learner’s agency with language achievement. …”
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Exploring the Correlation Between Internet Addiction, Anxiety and Achievement Test Among Iranian Male Senior High School EFL Students by Seyyed Abbs Sajjadi

“…A sample of 70 students was randomly selected from two public high schools. Data were collected using the Zung Self-Rating Anxiety Scale (SAS, 1971), the Internet Addiction Test (IAT, Young, 1996), and a standardized academic achievement test administered by Iran’s Ministry of Education. …”
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A Metareview of Research on Educational Inequality and Socioeconomic Disadvantage by Jennifer E. Symonds, Yekaterina Chzhen, Neil Kaye, Jay Dominy, Charlotte Campbell, Catherine Sykes, Sude Işıl Baştuğ, Sara Fiasconaro, Ilyar Heydari Barardehi

“…Of these records, 57 progressed to full-text screening, with 29 included in the metareview. We extracted data on the reviews’ methodologies, overarching conceptual perspectives, conceptualisations of socioeconomic inequalities and educational achievement, and educational stages covered. …”
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Drawing Boundaries Between Data Protection and Privacy: the Centre for Reforming the Data Protection Paradigm by Haodi Deng

“…Furthermore, this article critically evaluates the individual-centric, rights-based data protection paradigm, noting its shortcomings in achieving substantive fairness and tackling the escalating asymmetries between data controllers and data subjects. …”
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Clean Customer Master Data for Customer Analytics: A Neglected Element of Data Monetization by Jasmin Singh, Heiko Gebauer

“…Despite the demonstrable benefits of data monetization initiatives for achieving competitive advantages, many of these efforts struggle to realize their potential. …”
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