scholarly journals UDMS: User Data Management System Using Firebase Cloud

2021 ◽  
Vol 9 (11) ◽  
pp. 1826-1828
Author(s):  
Prof. Roshan R. Kolte
Keyword(s):  
Data Management ◽  
Management System ◽  
New Technology ◽  
Unstructured Data ◽  
Data Management System ◽  
Design And Development ◽  
Important Data ◽  
User Data ◽  
The Creation

Abstract: This paper aims at the creation of User Data Management System using Cloud Firebase. Firebase is a relatively new Technology for handling large amount of unstructured data. It is very necessary to store and secure our important data media for future use in case of emergency as a backup. We use a firebase cloud to save and retrieve Pictures, Documents, Videos and PDF’s. The present paper discuss the design and development of “UDMS” that can help the user to store their important data. Keywords: Java, Android, Firebase, Firebase Storage.

Design and development of a data management system for marine fouling organisms

2016 ◽  
Vol 24 (7) ◽  
pp. 838-846
Author(s):  
Hua Feng ◽  
◽  
Wenhao Cao ◽  
Xiaoyang Tian ◽  
Zhiqiang Cheng ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Design And Development ◽  
Marine Fouling ◽  
Fouling Organisms

scholarly journals Maintaining the provenance of microscopy metadata using OMERO.forms software

2017 ◽  
Author(s):  
Douglas P.W. Russell ◽  
Peter K. Sorger
Keyword(s):  
Data Management ◽  
Management System ◽  
Software Tool ◽  
Data Management System ◽  
Data Provenance ◽  
Cell State ◽  
The Creation ◽  
Microscopy Data ◽  
Detection Reagent ◽  
Biological Context

AbstractThe creation of datasets that are findable, accessible, interoperable and reproducible (the FAIR standard) requires that data provenance be maintained1. Provenance is particularly important for microscopy data, whose interpretation is dependent on the biological context (e.g. cell state) and detection reagent (e.g. antibody.) This paper describes a new software tool, OMERO.forms, that extends the OMERO microscopy data management system2 to simplify and enhance metadata entry and provenance tracking.

scholarly journals Transitioning CMS to Rucio Data Managment

2020 ◽  
Vol 245 ◽  
pp. 04033
Author(s):  
Eric Vaandering
Keyword(s):  
Data Management ◽  
Management System ◽  
Current Data ◽  
Data Management System ◽  
Adoption Process ◽  
Software Project ◽  
Primary Responsibility ◽  
Data Rates ◽  
User Data ◽  
Turn Over

Following a thorough review in 2018, the CMS experiment at the CERN LHC decided to adopt Rucio as its new data management system. Rucio is emerging as a community software project and will replace an aging CMSonly system before the start-up of LHC Run 3 in 2021. Rucio was chosen after an evaluation determined that Rucio could meet the technical and scale needs of CMS. The data management system for CMS needs to manage the current data sample of approximately 200 PB of data with 1 PB of transfers per day. The data management system must also have a development path suitable for LHC Run 4 (2026) data rates, which are expected to be 50 times larger. This contribution details the ongoing CMS adoption process as we replace our legacy system with Rucio, focusing on the challenges of integrating Rucio into an established set of experimental tools and procedures. This will include the migration of metadata, the construction of interfaces to the rest of the CMS computing tools, scale tests, operations, monitoring, and the plan to gradually turn over primary responsibility for the management of data to Rucio. A description of CMS user data management with Rucio will also be provided.

D-Ocean: an unstructured data management system for data ocean environment

2015 ◽  
Vol 10 (2) ◽  
pp. 353-369 ◽  
Author(s):  
Yueting Zhuang ◽  
Yaoguang Wang ◽  
Jian Shao ◽  
Ling Chen ◽  
Weiming Lu ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Unstructured Data ◽  
Data Management System ◽  
Ocean Environment ◽  
Unstructured Data Management

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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