Showing 1-25 of 16,170 resultsfor "Index Terms":Research Data Management
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Research Data Management Policy And Institutional Framework
2018 5th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (ETTLIS)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
Data created from research is a valuable resource and usually requires much time and money to be produced. Research data is the data that is collected, observed, or created for purposes of analysis to produce original research results. Research data has significant value in responsible research, which refers to the ability to justify conclusions on the basis of the data acquired and generated thro...Show More
The Application of Data Mining and Fusion Technology in the Security Management of Sensitive Data in Data Center
2021 IEEE International Conference on Data Science and Computer Application (ICDSCA)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Nowadays, network security problems are emerging one after another. In the face of these security problems, various security products have appeared. At the same time, various security products deployed in the network generate a large number of security events (log files) every day, and how to extract valuable information has become an urgent problem to be solved. The purpose of this article is to ...Show More
Large-scale Research Project Management System Design with Multi-level Structure
2023 International Conference on Data Science & Informatics (ICDSI)
Year: 2023 | Conference Paper |
The main work of a university is teaching and scientific research (SR). In this paper, an optimization model of large-scale SR project management information system (MIS) based on multi-level structure is proposed, and the accumulated SR information is mined by using the technology of association mining, in order to try to find the key factors that affect SR results, and make full use of the advan...Show More
Evolution of Information Management at the GSFC Earth Sciences (GES) Data and Information Services Center (DISC): 2006–2007
Steven Kempler;Christopher Lynnes;Bruce Vollmer;Gary Alcott;Stephen Berrick
Increasingly sophisticated National Aeronautics and Space Administration (NASA) Earth science missions have driven their associated data and data management systems from providing simple point-to-point archiving and retrieval to performing user-responsive distributed multisensor information extraction. To fully maximize the use of remote-sensor-generated Earth science data, NASA recognized the nee...Show More
A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation
2017 IEEE Frontiers in Education Conference (FIE)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members' knowledge in training graduate and undergraduate research assistants in the management of Big...Show More
Analysis on Hotspots of International Scientific Data Management and Sharing Based on Informetrics Atlas
2019 10th International Conference on Information Technology in Medicine and Education (ITME)
Year: 2019 | Conference Paper |
This research aims to track hotspots of international scientific data management and sharing. The method of informetric analysis is applied in this paper. CitespaceV, an information visualization software, is utilized to quantitatively analyze the relevant subject literature. By analyzing knowledge atlas and studying key articles, the research draws the following result: current research hotspots ...Show More
Application of Big Data in the Research of Intelligent Information Management System
2024 3rd International Conference for Advancement in Technology (ICONAT)
Year: 2024 | Conference Paper |
Data analysis and mining play an important role in the research of intelligent information management system, but there is a problem of inaccurate information management. Traditional machine learning cannot solve the information management problem in the research of intelligent information management system, and the effect is not satisfactory. Therefore, this paper proposes the application of inte...Show More
JQuery Software Architecture of University Scientific Research Management Information System Based on Web Hierarchical Data Heterogeneous Mining
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)
Year: 2022 | Conference Paper |
This paper discusses the function design and realization idea of college student information management system using jQuery framework and AJAX technology and using multi-layer architecture, in which factory pattern, dependency injection and reflection mechanism are applied in the multi-layer architecture. Then, the SSH (Struts, Spring, Hibernate) combined architecture is used to realize the develo...Show More
Experimental Research Reproducibility and Experiment Workflow Management
Yuri Demchenko;Sebastian Gallenmüller;Serge Fdida;Panayiotis Andreou;Cédric Crettaz;Mathias Kirkeng
2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Research reproducibility is an important factor to support the full research life cycle; this is especially important for experimental research, where it is required to also reproduce the whole experiment environment and equipment setup. This paper presents the methodology and solution proposed in the SLICES Research Infrastructure to enable research reproducibility in modern digital technologies ...Show More
Developing a Conceptual Framework of Research Data Management for Higher Educational Institutions
2018 5th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (ETTLIS)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
The purpose of this paper is to describe a conceptual framework for managing research data in higher educational institutes. The framework presents the workflow of the data life-cycle in its various phase right from its creation, storage, organization, sharing and usage. It also attempts to address crucial issues in Research Data Management (RDM) such as data privacy, data security, copyright and ...Show More
Analysis and Application of Management Platform Based on ChatGPT for Scientific Research in University
2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)
Year: 2024 | Conference Paper |
The article implements a university research management platform based on ChatGPT through natural language processing and generative technology, which provides researchers with intelligent Q&A, research project management, academic resource retrieval, academic communication and other functions, so as to improve the efficiency and quality of research work. Meanwhile, this paper analyses the applica...Show More
A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN)
David B. Keator;J. S. Grethe;D. Marcus;B. Ozyurt;S. Gadde;Sean Murphy;S. Pieper;D. Greve;R. Notestine;H. J. Bockholt;P. Papadopoulos
The aggregation of imaging, clinical, and behavioral data from multiple independent institutions and researchers presents both a great opportunity for biomedical research as well as a formidable challenge. Many research groups have well-established data collection and analysis procedures, as well as data and metadata format requirements that are particular to that group. Moreover, the types of dat...Show More
Enhancing Biomedical Research Data Management Challenges and Strategies
2023 9th Annual International Conference on Network and Information Systems for Computers (ICNISC)
Year: 2023 | Conference Paper |
In the era of digital research, scientific progress relies on the sharing and reuse of research data. Technological advancements in the biomedical field, such as gene sequencing and proteomics, have accelerated data generation, posing challenges to data management and sharing. This study investigates data management practices of the top 20 biomedical journals by impact factor, exploring the signif...Show More
Practices and Experiences in High Volumes of Satellite Data Management
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Cited by: Papers (1)
High volumes of satellite data management within an organization is still challenging and daunting in the era of big data. The increasing information technology costs and limited budgets, growing satellite data needs, data availability across multiple teams and projects, strategic goals of organization, and expected project outcomes require better satellite data management mechanism and system to ...Show More
Study on Resource and Environment Scientific Research Data Archiving Case Study for National Basic Research Program of China
2009 International Conference on Environmental Science and Information Application Technology
Year: 2009 | Conference Paper |
The National Basic Research Program of China (also called 973 Program) is China's on-going national keystone basic research program. Based on deep consideration, Research projects in resource and environment field of 973 Program are selected as a pilot engineering for data archiving and sharing. Based on actual practices, the paper will introduce the general background, data archiving phases, data...Show More
Some key problems of data management in army data engineering based on big data
2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)
Year: 2017 | Conference Paper |
Cited by: Papers (8)
This paper analyzed the challenges of data management in army data engineering, such as big data volume, data heterogeneous, high rate of data generation and update, high time requirement of data processing, and widely separated data sources. We discussed the disadvantages of traditional data management technologies to deal with these problems. We also highlighted the key problems of data manageme...Show More
METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine
Mamta Puppala;Tiancheng He;Shenyi Chen;Richard Ogunti;Xiaohui Yu;Fuhai Li;Robert Jackson;Stephen T. C. Wong
Goal: The aim of this paper is to propose the design and implementation of next-generation enterprise analytics platform developed at the Houston Methodist Hospital (HMH) system to meet the market and regulatory needs of the healthcare industry. Methods: For this goal, we developed an integrated clinical informatics environment, i.e., Methodist environment for translational enhancement and outcome...Show More
Discussion on security for campus scientific research management system
2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)
Year: 2010 | Conference Paper |
Cited by: Papers (2)
As Scientific Research level has been an important indicator of college power, it's necessary to set up scientific research management system and make daily Scientific Management more normatively and effectively. In the process of exploiting and using scientific research management system, security has always been given the first priority since it is pivotal for the survival of the system. This pa...Show More
Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data
2017 IEEE International Conference on Big Data (Big Data)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Data sharing, which is hot issues in scholarly communication, is regarded as generating big data from little data in little science. In this article, a conceptual framework for research support platform in university is proposed, by the survey of two cases of representative and subject-based data archives in Japan; Data Integration and Analysis System Program (DIAS) and Inter-university Upper atmo...Show More
Research on the Design of Core Data Management System for Large-scale Scientific Research Projects in Enterprises Based on Cloud Computing
2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Year: 2024 | Conference Paper |
Aiming at the problem that traditional data management is difficult to be efficient, safe and scalable in large-scale scientific research projects, this paper puts forward a design scheme of data management system based on cloud computing, aiming at improving scientific research efficiency and optimizing costs. Based on AWS platform, the system covers four modules: data acquisition, storage, proce...Show More
With the continuous development of computer technology, the coverage of informatization solutions covers all walks of life and all fields of society. For colleges and universities, teaching and scientific research are the basic tasks of the school. The scientific research ability of the school will affect the level of teachers and the training of students. The establishment of a good scientific re...Show More
SLICES Data Management Infrastructure for Reproducible Experimental Research on Digital Technologies
Yuri Demchenko;Sebastian Gallenmüller;Serge Fdida;Thijs Rausch;Panayiotis Andreou;Damien Saucez
This paper presents the ongoing research effort related to the design of the Data Management Infrastructure (DMI) to support experimental research on digital technologies with application to the ESFRI SLICES scientific instrument. We consider the experiment documentation and data collection across the whole continuum of access network, IoT, edge, cloud, and data processing workflow. The paper incl...Show More
A Sketch of Big Data Technologies
2013 Seventh International Conference on Internet Computing for Engineering and Science
Year: 2013 | Conference Paper |
Cited by: Papers (9)
This paper outlines the recent developed information technologies in big data. The basic principles and theories, concepts and terminologies, methods and implementations, and the status of research and development in big data are depicted. The paper also highlights the technical challenges and major difficulties. The number of key technologies required to handle big data are deliberated. They incl...Show More
Addressing Big Data challenges for Scientific Data Infrastructure
Yuri Demchenko;Zhiming Zhao;Paola Grosso;Adianto Wibisono;Cees de Laat
4th IEEE International Conference on Cloud Computing Technology and Science Proceedings
Year: 2012 | Conference Paper |
This paper discusses the challenges that are imposed by Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces the Scientific Data Lifecycle Management (SDLM) model that includes all the major stages and reflects specifics in dat...Show More
Study on data center and data librarian role for reuse of research data
2016 8th International Conference on Knowledge and Smart Technology (KST)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
There are new demands for data centers and data librarians to manage and reuse data. In this study, trends of advanced research institutions were investigated and analyzed and implications were derived, in relation to the environment establishment for management, preservation and reuse of research data generated from research processes. New roles required of data centers and data librarians and 5 ...Show More
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