The UNC Graph Server: A Distributed Hypermedia Data Management System

1991 ◽  
Author(s):  
Douglas E. Shackelford ◽  
John B. Smith ◽  
Joan Boone ◽  
Barry Elledge
2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.


2014 ◽  
Vol 36 (7) ◽  
pp. 1485-1499 ◽  
Author(s):  
Jie SONG ◽  
Tian-Tian LI ◽  
Zhi-Liang ZHU ◽  
Yu-Bin BAO ◽  
Ge YU

Author(s):  
Noor Hafizah Khairul Anuar ◽  
Mohd Amri Md Yunus ◽  
Muhammad Ariff Baharudin ◽  
Sallehuddin Ibrahim ◽  
Shafishuhaza Sahlan

2021 ◽  
Vol 28 (1) ◽  
pp. e100307
Author(s):  
Janice Miller ◽  
Frances Gunn ◽  
Malcolm G Dunlop ◽  
Farhat VN Din ◽  
Yasuko Maeda

ObjectivesA customised data management system was required for a rapidly implemented COVID-19-adapted colorectal cancer pathway in order to mitigate the risks of delayed and missed diagnoses during the pandemic. We assessed its performance and robustness.MethodsA system was developed using Microsoft Excel (2007) to retain the spreadsheets’ intuitiveness of direct data entry. Visual Basic for Applications (VBA) was used to construct a user-friendly interface to enhance efficiency of data entry and segregate the data for operational tasks.ResultsLarge data segregation was possible using VBA macros. Data validation and conditional formatting minimised data entry errors. Computation by the COUNT function facilitated live data monitoring.ConclusionIt is possible to rapidly implement a makeshift database system with clinicians’ regular input. Large-volume data management using a spreadsheet system is possible with appropriate data definition and VBA-programmed data segregation. The described concept is applicable to any data management system construction requiring speed and flexibility in a resource-limited situation.


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