information management system
25446770
Developing a success model of Research Information Management System for research affiliated institutions
Research Information Management System (RIMS) is essential for any research institutes and universities. RIMS should have some effective usability features or success components of its strategic information access and display. The success or failure of the implementation of RIMS is highly dependent on the level of success and user acceptance. The measurement of IS success remains a top concern for researchers, practitioners and managers. Thus, the evaluation of RIMS success is vital. Therefore, the main objective of this paper is to propose a success model of RIMS implementation based on an extensive literature review that shows inter relationship among IS success factors. Results from the literature review shows that several IS success studies have used and extended DeLone McLean model in different context such as E Learning, Learning Management System (LMS) Banking, Project Management, Health Management etc. Prior studies have extended the generic framework of DeLone McLean model. However, few have extended it to different dimensions such as technological, organization and human perspective. Hence, to fill this gap the proposed model is used to describe the multidimensional factors that influence the success and user acceptance of RIMS. Three important aspects of IS success such as human, organization and technology are studied. Outcomes of this study can be used as a guideline for research institutions' management, RIMS designers and researchers when implementing and using RIMS.
2017 International Conference on Research and Innovation in Information Systems (ICRIIS)
Md Mahmudul Hasan Harmi Izzuan Bin Baharum Ganthan Narayana Samy Nurazean Maarop Wardah Zainal Abidin Noor Hafizah Hassan
24398192
Development of a Minimum Data Set (MDS) for C Section Anesthesia Information Management System (AIMS)
Background Caesarean section, also known as C section, is a very common procedure in the world. Minimum data set (MDS) is defined as a set of data elements holding information regarding a series of target entities to provide a basis for planning, management, and performance evaluation. MDS has found a great use in health care information systems. Also, it can be considered as a basis for medical information management and has shown a great potential for contributing to the provision of high quality care and disease control measures. Objectives The principal aim of this research was to determine MDS and required capabilities for Anesthesia information management system (AIMS) in C section in Iran. Methods Data items collected from several selected AIMS were studied to establish an initial set of data. The population of this study composed of 115 anesthesiologists was asked to review the proposed data elements and score them in order of importance by using a five point Likert scale. The items scored as important or highly important by at least 75% of the experts were included in the final list of minimum data set. Results Overall 8 classes of data (consisted of 81 key data elements) were determined as final set. Also, the most important required capabilities were related to airway management and hypertension and hypotension management. Conclusions In the development of information system (IS) based on MDS and identification, because of the broad involvement of users, IS capabilities must focus on the users' needs to form a successful system. Therefore, it is essential to assess MDS watchfully by considering the planned uses of data. Also, IS should have essential capabilities to meet the needs of its users.
Anesthesiology and pain medicine
Mostafa Sheykhotayefeh Reza Safdari Marjan Ghazisaeedi Seyed Hossein Khademi Seyedeh Sedigheh Seyed Farajolah Elham Maserat Mohamad Jebraeily Vahideh Torabi
206765136
Leaf LIMS: A Flexible Laboratory Information Management System with a Synthetic Biology Focus.
This paper presents Leaf LIMS, a flexible laboratory information management system (LIMS) designed to address the complexity of synthetic biology workflows. At the project's inception there was a lack of a LIMS designed specifically to address synthetic biology processes, with most systems focused on either next generation sequencing or biobanks and clinical sample handling. Leaf LIMS implements integrated project, item, and laboratory stock tracking, offering complete sample and construct genealogy, materials and lot tracking, and modular assay data capture. Hence, it enables highly configurable task based workflows and supports data capture from project inception to completion. As such, in addition to it supporting synthetic biology it is ideal for many laboratory environments with multiple projects and users. The system is deployed as a web application through Docker and is provided under a permissive MIT license. It is freely available for download at https:/leaflims.github.io
ACS synthetic biology
Thomas Craig Richard C G Holland Rosalinda D'Amore James R Johnson Hannah V McCue Anthony West Valentin Zulkower Hille Tekotte Yizhi Cai Daniel Swan Robert P Davey Christiane Hertz-Fowler Anthony Hall Mark X Caddick
33063948
Selecting a Laboratory Information Management System for Biorepositories in Low and Middle Income Countries: The H3Africa Experience and Lessons Learned
Biorepositories in Africa need significant infrastructural support to meet International Society for Biological and Environmental Repositories (ISBER) Best Practices to support population based genomics research. ISBER recommends a biorepository information management system which can manage workflows from biospecimen receipt to distribution. The H3Africa Initiative set out to develop regional African biorepositories where Uganda, Nigeria, and South Africa were successfully awarded grants to develop the state of the art biorepositories. The biorepositories carried out an elaborate process to evaluate and choose a laboratory information management system (LIMS) with the aim of integrating the three geographically distinct sites. In this article, we review the processes, African experience, lessons learned, and make recommendations for choosing a biorepository LIMS in the African context.
Biopreservation and Biobanking
Samuel Kyobe Henry Musinguzi Newton Lwanga Dafala Kezimbira Edgar Kigozi Fred Ashaba Katabazi Misaki Wayengera Moses Joloba Emmanuel Akin Abayomi Carmen Swanepoel Alash'le G Abimiku Talishiea Croxton Petronilla J Ozumba Anazodo Thankgod Alan Christoffels Lizelle van Zyl Elizabeth Sarah Mayne Mukthar Kader G Swartz
70090114
Public Education Information Management System
Home Legacy Data Standards Student Attendance Accounting Handbook Request TEASE Access to PEIMS EDIT+ TEASE Logon PID EDIT+ TREx Compatible Software Systems The Public Education Information Management System (PEIMS) encompasses all data requested and received by TEA about p
Glenn W K Shelton
90818393
Selecting a Laboratory Information Management System for Biorepositories in Low and Middle Income Countries: The H3Africa Experience and Lessons Learned
Biorepositories in Africa need significant infrastructural support to meet International Society for Biological and Environmental Repositories (ISBER) Best Practices to support population based genomics research. ISBER recommends a biorepository information management system which can manage workflows from biospecimen receipt to distribution. The H3Africa Initiative set out to develop regional African biorepositories where Uganda, Nigeria, and South Africa were successfully awarded grants to develop the state of the art biorepositories. The biorepositories carried out an elaborate process to evaluate and choose a laboratory information management system (LIMS) with the aim of integrating the three geographically distinct sites. In this article, we review the processes, African experience, lessons learned, and make recommendations for choosing a biorepository LIMS in the African context.
KatabaziFred Ashaba J Lutaakome A Akin van ZylLizelle M McLeod Sarah
21674524
Smart university student information management system
SUSIMS is the most cutting edge, innovative and robust solution for a university. In existing college datamanagement systems there are plenty of activities which are handled manually. All these activities are paper based which are expensive and time consuming. Various activities are handled by various departments. This leads to major problem in interlinking data and avoiding duplicates. Hence this becomes very hard and prolonged process for students to access information from management. In the proposed system, a better solution is defined for all these activities which are paperless, cost effective and time saving. In 21st century with the latest technology the world is moving towards cloud computing. SUSIMS is full fledged cloud computing based information management system. It covers every minute aspects of a universities work flow and integrates all processes into smartphones with user friendly interface. It includes all major modules like Attendance module, Placement module, Alumni Association module and many more. All modules inter related and data redundancy is eliminated.
2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon)
S Jain Radhika Garg Vaibhavkrishna Bhosle Lilash Sah
16264696
Intelligent Control and Information Management System for Plant Growth Cabinet Based on Internet of Things
plant growth cabinet (PGC) is a closed plant growth environment that can provide temperature, humidity and other factors required in the process of plant growth and development. In this study, we propose an intelligent control and information management system based on Internet of Things (IoT) Every IOT system has three layers that are the sensing layer, the transmission layer, and the application layer. We implement the sensing layer through the Android subsystem software design with environmental parameters. The Android application software was built to realize the many functions such as the plants' morphological data collection, display of the environmental information in the PGC, and monitor ship of the plant growth process in real time, make the reasonable regulation of the control node meanwhile. The IoT transmission layer communicates in WiFi wireless way. In the application layer, the vegetable maturity could be forecast by fusing the images information through two artificial neural networks on the IoT server. Moreover, the several other feature functions, including remotely monitoring the PGC and the posting the environmental data, pictures and videos of the plant in the SQL database, are available for the user to manage the PGC. The experimental results indicate that the control strategy in IoT sensing layer and maturity prediction model in IoT application layer are of high efficiency. The IoT system design is effective to provide an appropriate growth environment guidance and management for the plant growth.
ICMSS '17
Qi Chen Xinlei Wang Fan Liang
20720343
Design and implementation of intelligent equipment information management system for aerospace laboratory
Through investigating the status of information management of laboratory equipment in a certain aerospace scientific research unit, analyzing the backwardness of its equipment information management mode, low efficiency and high error rate, this paper puts forward the application of RFID(Radio Frequency Identification) technology in the laboratory, combining visualization, data mining technology and building intelligent equipment information management system. The paper focuses on five functional modules of the system: equipment in position management, equipment flow information management, equipment resource intelligent allocation management, equipment rights management and equipment life cycle intelligent management. Meanwhile, key technologies involved such as: middleware, mathematical modeling, frequent pattern mining are highlighted. The system has been successfully implemented in an aerospace laboratory and intelligent equipment information management has been realized.
2017 3rd International Conference on Information Management (ICIM)
Xingcun Liao Sheng-li Sun Gang Jin H B Yang Pingyue Lv
52895337
On Developing Information Security Management System (ISMS) Framework for ISO 27001 based Data Center
The data center needs a protection both physically and logically to secure information system from any security attacks. Any information security threats like stealing of information, denial of service and unauthorized access can cause an adverse impact on the corporate either loss of revenue, reputation and trust from the customer. Implementing Information Security Management System (ISMS) can help to identify, manage and reduce any information security threats in the data center. One of widely accepted ISMS standard today is ISO 27001. However, to the best of our knowledge, there is no specific ISMS standard that is designed for the data center at this moment. Existing standards such as ISO 27001 are designed to provide general information security that can be applied to different environments. In this paper, we propose an ISMS framework that is specifically designed for the data center to manage the aspect of confidentiality, integrity, and availability of information security. It is an implementation of people, process, and technology concept in protecting information security in the data center. This framework is developed based on ISO 27001, Annex A standard. By implementing this ISMS framework, management could reduce information security threats in the data center and support organization business continuity.
2018 International Workshop on Big Data and Information Security (IWBIS)
Dedy Achmadi Yohan Suryanto Kalamullah Ramli