Development of Malaysian Mammal Online Database

Intan Rabitah Mustafa, M. S. Shamsir, S. Azman, Aidawati Mustapha
{"title":"Development of Malaysian Mammal Online Database","authors":"Intan Rabitah Mustafa, M. S. Shamsir, S. Azman, Aidawati Mustapha","doi":"10.30880/jsunr.2022.03.01.008","DOIUrl":null,"url":null,"abstract":"Malaysia is one of 17 mega diverse countries in the world. Despite this fact, there is still no online standalone database that focuses on Malaysian mammals. Creation of a mammalian database would allow researchers and conservationists to utilize the database for research, policy making and to answer broad scale of biodiversity questions. Human development has contribute to the depleting of mammal population and species extinction rate is faster than the effort of cataloguing them. The aim of this study is to 1) identify online database features and the type of data required for mammal database, 2) collect and populate database from existing mammal data to assist the said database and 3) to test the acceptance of the database by user of this study. The secondary data from existing database such as Global Biodiversity Information Facility (GBIF), Animal Diversity Web (ADW) and Malaysia Biodiversity Information System (MyBIS) was collected to determine the required features needed in the database. The database adhered to TDWG standard that facilitates exchange of biological information. Examination on GBIF have been made to observe their data presentation since GBIF used TDWG Standard. Rapid Prototype Model was utilized as development method and Omeka Classic was used as platform of Content Management System. The mammal data was collected online and populate into the database. The acceptance testing in form of questionnaire were distributed to verify whether the database is function properly and meet the requirement of the study. We present MYMODS, a comprehensive mammal database with 361 mammal species in Malaysia deposited in the database. The development of this database will enable the researcher and conservationist to seek and identify mammal information based on species’ scientific name, description and IUCN Red List. We believe that MYMODS will contribute to the digital knowledge that provide tools for mammal research and contributes in management of biodiversity and conservation in Malaysia. MYMODS is available at https://cercom.uthm.edu.my/mymods/","PeriodicalId":250961,"journal":{"name":"Journal of Sustainable Natural Resources","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Natural Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/jsunr.2022.03.01.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Malaysia is one of 17 mega diverse countries in the world. Despite this fact, there is still no online standalone database that focuses on Malaysian mammals. Creation of a mammalian database would allow researchers and conservationists to utilize the database for research, policy making and to answer broad scale of biodiversity questions. Human development has contribute to the depleting of mammal population and species extinction rate is faster than the effort of cataloguing them. The aim of this study is to 1) identify online database features and the type of data required for mammal database, 2) collect and populate database from existing mammal data to assist the said database and 3) to test the acceptance of the database by user of this study. The secondary data from existing database such as Global Biodiversity Information Facility (GBIF), Animal Diversity Web (ADW) and Malaysia Biodiversity Information System (MyBIS) was collected to determine the required features needed in the database. The database adhered to TDWG standard that facilitates exchange of biological information. Examination on GBIF have been made to observe their data presentation since GBIF used TDWG Standard. Rapid Prototype Model was utilized as development method and Omeka Classic was used as platform of Content Management System. The mammal data was collected online and populate into the database. The acceptance testing in form of questionnaire were distributed to verify whether the database is function properly and meet the requirement of the study. We present MYMODS, a comprehensive mammal database with 361 mammal species in Malaysia deposited in the database. The development of this database will enable the researcher and conservationist to seek and identify mammal information based on species’ scientific name, description and IUCN Red List. We believe that MYMODS will contribute to the digital knowledge that provide tools for mammal research and contributes in management of biodiversity and conservation in Malaysia. MYMODS is available at https://cercom.uthm.edu.my/mymods/
马来西亚哺乳动物在线数据库的开发
马来西亚是世界上17个超级多样化的国家之一。尽管如此,目前仍没有专门针对马来西亚哺乳动物的在线独立数据库。建立一个哺乳动物数据库将使研究人员和自然资源保护主义者能够利用这个数据库进行研究、制定政策,并回答大规模的生物多样性问题。人类的发展导致了哺乳动物数量的减少,物种灭绝的速度比分类的速度要快。本研究的目的是:(1)确定在线数据库的特征和哺乳动物数据库所需的数据类型;(2)从现有的哺乳动物数据中收集和填充数据库,以辅助该数据库;(3)测试本研究用户对数据库的接受程度。从全球生物多样性信息设施(GBIF)、动物多样性网络(ADW)和马来西亚生物多样性信息系统(MyBIS)等现有数据库中收集二次数据,确定数据库所需的特征。数据库遵循TDWG标准,便于生物信息的交换。自GBIF采用TDWG标准以来,对GBIF进行了检查,观察其数据呈现。采用快速原型模型作为开发方法,采用Omeka Classic作为内容管理系统的平台。哺乳动物的数据是在线收集并填充到数据库中。以问卷的形式进行验收测试,验证数据库功能是否正常,是否满足研究要求。我们提出了MYMODS,一个综合的哺乳动物数据库,在数据库中存放了361种马来西亚哺乳动物。该数据库的建立将使研究人员和自然资源保护者能够根据物种的学名、描述和IUCN红色名录来寻找和识别哺乳动物的信息。我们相信MYMODS将有助于为哺乳动物研究提供工具的数字知识,并有助于马来西亚的生物多样性管理和保护。MYMODS可在https://cercom.uthm.edu.my/mymods/上获得
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信