Finansiranje naučnoistraživačkih projekata na Univerzitetu odbrane

Project management of agricultural scientific research institutions is an important section of agricultural scientific research plan management. It is of great significance for sustainable development of scientific research work of scientific research institutions. According to a series of opinions and notices about scientific and technological system reform issued by the state, and combining current situations of management of scientific research projects in scientific research institutions, this paper made a preliminary study on management of agricultural scientific research projects in the new trend. Finally, on the basis of the current situations of management of agricultural scientific research projects, it came up with pertinent recommendations, including strengthening communication and cooperation and actively declaring projects, strengthening preliminary planning of projects and establishing project information database, reinforcing project process management, ensuring on-time and high quality completion of projects, and strengthening learning and improving quality of management personnel.

La presente investigación pretende explicar que existen factores externos, que influyen directamente en la gestión de los proyectos de investigación científica y tecnológica financiados con recursos del Fondo de desarrollo socioeconómico de Camisea (Focam) de la Universidad Nacional de Huancavelica (UNH). Dentro de estos factores externos que inciden directamente se encuentran las competencias profesionales de los docentes investigadores y la gestión logística que permite la implementación de la investigación. Se utiliza el enfoque cuantitativo, el tipo de investigación sustantiva explicativa y el diseño de investigación es no experimental de corte transversal tipo explicativo causal. La muestra censal con un tamaño de muestra de 49 docentes investigadores de Ingeniería. Para la presente investigación, se usó la técnica de la encuesta para las tres variables de estudio. Se puede afirmar que existe influencia positiva de las competencias profesionales y la gestión logística sobre la gestión de los proyectos de investigación científica financiados con recursos de Focam. Es la primera investigación que ofrece una discusión sobre en qué nivel de gestión se encuentran los proyectos de investigación científica ejecutados en la Universidad Nacional de Huancavelica, desde la planificación de la investigación hasta la publicación del artículo científico en una revista indizada. Se plantean alternativas de solución para los investigadores y para la oficina de logística que ayudarán a gestionar eficientemente los proyectos de investigación científica.

Starting from the introduction of the management of scientific research project, and then gives a detailed description based on J2EE architecture, the lightweight composite framework involving Spring, Struts and iBATIS and an iterative method is employed in project management. With a series of functions such as application, recommendation, processing, approval, assessment and management of scientific research project and so on, the system has the characteristics of easy maintenance, dynamic propagation and strong expansibility. Finally the safety of the system is discussed from two perspectives, namely its design and environment. Years’ of application in the management of scientific research project in Gansu Province has proved its good stability, fast response and high safety.

With the development of the knowledge economy, science and technology play an increasingly crucial role in social development. Investment from the government and the enterprise in scientific research has increased significantly, and the number of scientific research projects has also shown an obvious upward trend. Due to the lack of a standardized and unified scientific research project management program, many projects are overdue or even failed, and project fund management is confused. Besides, output results are limited and the actual conversion rate is low. In this paper, we propose a scientific research project management system based on consortium blockchain. Firstly, the process of scientific research project management is standardized. According to this specification, we then design a scientific research project management system in line with consortium blockchain, the smart contract, and the IPFS system. By using these technologies, we have coped with two major problems in traditional scientific project management: breach of contract and confidentiality. The simulation results show that compared with the conventional scientific research project management, the scheme proposed in this paper can significantly enhance the efficiency and the success rate of the project, and reduce the time and manpower consumed in the process of project implementation.

This topic has constructed a model of the whole process of project management system of scientific research in the framework of .NET, according to the characteristics of scientific research project management. This paper not only describes system architecture, key features, design methods and techniques, but also analyze system core technologies such as the WebService and Winform. Scientific research management system which can be applied to mobile terminals improve the level and efficiency of scientific research management to a large extent, providing a network and environment for scientific research project cooperation and management.

With the expansion of scientific research activities and the increasing demand for interdisciplinary collaboration, the traditional scientific research management model is facing challenges in terms of efficiency, synergy and data-driven decision-making. Based on the research and implementation of scientific research project management platform, this paper designs and develops an integrated and intelligent digital management platform for the whole life cycle management of scientific research projects. Firstly, by analyzing the pain points of scientific research project management, the functional architecture design of the platform is put forward, and a closed-loop management system covering scientific research project management, standard management, scientific and technological achievements management, intellectual property management, periodical management and operation and maintenance management is constructed. Through standardized interface and authority classification mechanism, the platform supports multi-role collaborative operation to ensure data security and compliance. The research results of this paper provide a reusable technical solution for the digital transformation of scientific research institutions, and have important practical value in promoting the standardization of scientific research management and the collaborative innovation of industry, University and research.

The development of this system is based on ASP technology, and through the application of B/S structure and SQL Server database, it provides necessary scientific research data support for the sharing of scientific research information in colleges and universities, and basically realizes the management of personnel files, personnel management and professional title. Management integration of scientific research projects and management of information systems. Develop a research goal of web-based network research management information system. Through this system, it can manage and standardize more scientific research projects. The system is a complete set of college plans, declarations, contracts, Research management information systems for results, patents, funds, personnel, equipment, etc. The system is based on the B/S mode, perfecting the output system of the report, and providing corresponding data support for the smooth development of scientific research projects, providing a solid material foundation and software hardware for the research and management of scientific research projects. Support, providing an electronic data platform for scientific research and academic exchanges, successfully achieved design tasks and goals.

In recent years, higher requirements are put forward in scientific research funds management as the state of medical scientific research funds investment continues growing up. Clinical scientific research institutes as the important position of promoting medical scientific research must establish the budget management mechanism which meets the law of scientific research, to make the clinical scientific resources efficiently service for science and technology innovation and efficient scientific research system construction. Based on the analysis of present situation of the budget management of scientific research projects in clinical scientific research institutions, the management countermeasures were proposed. Key words: Clinical scientific research institution; Scientific research funds; Budget management

Objective To explore the cooperative mechanism of hospital research management and ethics review. Methods Through the analysis of current ethical conditions, as well as the relationship between hospital research management and ethical review, study on how to integrate them during the management of scientific research project. Results Research management and ethical review have different emphasis from different perspectives, however, both of them serve for research projects which makes inseparable connections. Conclusions Hospital research management and ethical review can be synergistic, according to which the management of scientific research projects will be more reasonable and scientific. Key words: Hospital scientific research management; Ethics review; Ethics committee; Synergistic mechanism,

Researching and designing the university scientific research project management system based on network is conducive to tracking, guiding and managing product life-cycle of the whole research procedure management of projects. It also can provide information support for the managers to make scientific research management decisions and contribute to advancing the management level of scientific research and management. Fully understanding the procedure of scientific research management system, the paper researched problems which are important to project management and designed the basic structure of the scientific research management system according to the manager’s demands. Adopting Myeclipse, Tomcat, Mysql development tools, the function models such as information publishment, achievement exhibition, project management and academic communication can be constructed. Therefore the goal of all-dimensional management of progress, resources and results can be realized. It can not only facilitate project directors to do comprehensivize management of project, but also helpful for the management sector to get the advanced progress information of all the internal scientific research projects. The management system can meet the need of academic institutions macro-management and decision demand of scientific activities, providing support for the project participators’ evaluation.

In scientific research management projects, if the process model changes, without a workflow technology, the codes need to be modified and the workload of modification will increase significantly. After introducing a flexible workflow technology, what can be done is to directly define the new process model. This paper mainly introduces ECA rules on the basis of workflow meta-model to design a flexible workflow: the ECA rules will express execution logics of the basic workflow, and the basic elements of the process model in the approval process of scientific research projects will be represented by ECA. The design of the flexible workflow in scientific research management system will include flexible workflow engine and the process approval platform for scientific research project management with ECA rule analysis. The flexible workflow implemented in this paper can better guide the workflow engine to adapt to the current environment, and decide the different execution process according to the specific process instance contexts. The method proposed in this paper better supports the needs of scientific research project management.

Aiming at the problems of project duplication and evaluation expert selection in scientific research project management, we propose an association analysis system of scientific research projects based on SOA multi-layered architecture. In this system, we implement project similarity analysis module, evaluation expert selection module, hot topic analysis module, etc, using Chinese information extraction, Chinese semantic analysis and association analysis. The system solves issues of setting up scientific research projects, which provides decision support for project supervisors.

This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network’s non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model’s performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study’s model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

Scientific research, as the basic function of universities, has become an important criterion for evaluating the quality of universities, and also a powerful indicator for influencing the reputation of universities. How to do a good job in the management of scientific researches is a topic that all kinds of colleges and universities discuss together. To improve the scientific research abilities and qualities of colleges and universities requires that the scientific research management of colleges and universities should be combined with the modern management science and absorb the advanced management ideas and concepts. It has become an urgent and important task for the scientific research management departments of colleges and universities to use the advanced information technologies to build a systematic platform for sharing the scientific research resources and an overall operating scientific research management network to realize the whole-process management of scientific research projects.

Project management assists many areas of human activities and recently has been considered as a way to ensure the success of scientific research projects. A primary problem is the need to identify the project’s success factors, which include phenomena, actions, events, and parameters that contribute to the success. The purpose of this study is to identify the management issues and oversights that pose a negative effect on scientific research projects. The study involves a questionnaire, distributed to several managers of research projects conducted within Polish universities. This paper presents the results of assessing responses to two questions of this survey. These questions about project management deal with goals achieved by marginal projects and an analysis ex post. The responses to each question are grouped into five types, on which a frequency analysis is performed. For each group, several conclusions and recommendations are proposed. The results are a first attempt to construct a set of suitable practices for the management of scientific research projects.