UHF RFID proof of concept (POC) with open-source ILS at Universiti Sains Malaysia (USM) Libraries

2015 ◽  
Vol 49 (2) ◽  
pp. 135-150 ◽  
Author(s):  
JingHuey Khor ◽  
Widad Ismail ◽  
Mohd Nasir Md Rashid ◽  
A. Akla Wan Ismail ◽  
Muhammad Qayum Omar ◽  
...  
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Data Management System ◽  
Proof Of Concept ◽  
Rfid Technology ◽  
Uhf Rfid ◽  
Content Type ◽  
Library Automation ◽  
Detection Technologies

Purpose – Universiti Sains Malaysia (USM) uses different detection technologies and integrated library systems (ILS) at its four libraries located at different sites. Hence, ubiquitous data management system is required in the four libraries to enable real-time data sharing and tracking among the libraries. The paper aims to discuss these issues. Design/methodology/approach – Proof of concept is used to verify the performance of integration between different detection technologies including barcode, high frequency (HF) and ultra high frequency (UHF) radio frequency identification (RFID) as well as Integrated Library Management Utility (ILMU) and Koha ILSs. Five pilot tests are performed to investigate the speed of the borrowing and returning transactions, the efficiency of security gate to detect non-borrowed items, and the reliability of the ubiquitous data management system. Findings – The HF RFID technology and the proprietary library system have been used in many libraries. The current study proves that the integration of the UHF RFID technology and the Koha open-source ILS, which is named as Total Open-Source Library Automation Solution, can be a novel solution and can serve as a guide for other libraries. Originality/value – In the current phase of library data management system, it is common to integrate various technologies in improving the efficiency of the library system. But, the combination of Koha with UHF RFID into a single ILS for intra-library automation system has not been proven. This shows the importance of the proposed proven proof of concept that proves such integration is suitable to be implemented at USM libraries and other libraries.

scholarly journals Evolution of the open-source data management system Ru-cio for LHC Run-3 and beyond ATLAS

2019 ◽  
Vol 214 ◽  
pp. 04054
Author(s):  
Martin Barisits ◽  
Thomas Beermann ◽  
Joaquin Bogado ◽  
Vincent Garonne ◽  
Tomas Javurek ◽  
...  
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
High Energy Physics ◽  
High Energy ◽  
Full Scale ◽  
Data Management System ◽  
Distributed Data ◽  
Open Source Data ◽  
Level Data

Rucio, the distributed data management system of the ATLAS experiment already manages more than 400 Petabytes of physics data on the grid. Rucio was incrementally improved throughout LHC Run-2 and is currently being prepared for the HL-LHC era of the experiment. Next to these improvements the system is currently evolving into a full-scale generic data management system for application beyond ATLAS, or even beyond high-energy physics. This contribution focuses on the development roadmap of Rucio for LHC Run-3, such as event level data management, generic meta-data support and increased usage of networks and tapes. At the same time Rucio is evolving beyond the original ATLAS requirements. This includes additional authentication mechanisms, generic database compatibility, deployment and packaging of the software stack in containers, and a project paradigm shift to a full-scale open source project..

scholarly journals Bandage: The free, paperless, open source, integrated patient data management system

2014 ◽  
Vol 12 ◽  
pp. S24
Author(s):  
Angus Joyce ◽  
Sarah Aldugman ◽  
Thomas Bottomley ◽  
Natasha Castellino ◽  
Pavlos Christodoulo ◽  
...  
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Patient Data ◽  
Patient Data Management System ◽  
Data Management System

Borehole Data Management System: a web interface for borehole data acquisition

2020 ◽  
Author(s):  
Massimiliano Cannata ◽  
Milan Antonovic ◽  
Nils Oesterling ◽  
Sabine Brodhag
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Web Application ◽  
Data Management System ◽  
Data Types ◽  
Time Data ◽  
Borehole Data ◽  
Geological Conditions ◽  
Combining Data

<p>The shallow underground is of primary importance in governing and planning the territories where we live. In fact, the uppermost 500 meters below the ground surface are interested by a growing number of anthropic activities like constructions, extraction of drinking water, mineral resources, installation of geothermal probes, etc. Borehole data are therefore essential as they reveal at specific location the vertical sequence of geological layers which in turns can provide an understanding of the geological conditions we can expect in the shallow underground. Unfortunately, data are rarely available in a <em>FAIR way</em> that as the acronym specify are Findable, Accessible, Interoperable and Reusable.</p><p>Most of the time data, particularly those collected in the past, are in the form of <strong>static data reports</strong> that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, <strong>data are archived into database</strong>. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management swisstopo (www.swisstopo.ch) has funded the development of a Web application named Borehole Data Management System (BDMS) [1] that adopt the <strong>borehole data model</strong> () [2] implemented by the Swiss Geological Survey.</p><p>Among the benefits of adopting a standard model we can identify:</p><ul><li>Enhance the exchange, the usage and quality of the data</li> <li>Reach data harmonization (level of detail, precise definitions, relationships and dependencies among the data),</li> <li>Establish a common language between stakeholders</li> </ul><p>The Borehole Data Management System (BDMS)  was developed using the latest Free and Open Source Technologies. The new application integrates some of the today’s best OSGeo projects and is available as a modular open source solution on GitHub and ready to use in a docker container available on Docker Hub. Through two types of authorization, <em>Explorer </em>users are able to search the BDMS for specific boreholes, navigate a configurable user friendly map, apply filters, explore the stratigraphy layers of each borehole and export all the data in Shapefiles, CSV or PDF. <em>Editors</em> are able to manage in details the informations and publish the results after passing a validation process.</p><p> </p><p>Links</p><p>[1] http://geoservice.ist.supsi.ch/docs/bdms/index.html</p><p>[2] https://www.geologieportal.ch/en/knowledge/lookup/data-models/borehole-data-model.html </p>

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

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.

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