Web-based data management and sharing of bottlenose dolphin photographic identification information

S. Wong, J.P. Contillo, S. Molina, B. Mase
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Abstract

The photo identification of bottlenose dolphins is a non-invasive technique of tracking individual animals. It can provide data on the social affiliations, habitat usage, population structure, behavior, and birth/death rates of bottlenose dolphin in a study area. The Southeast Fisheries Science Center (SEFSC) has been conducting a long-term photo-ID program in Biscayne Bay, Florida. Previously, the data were managed in a desktop database, which was limited in capability in terms of data backup, security (e.g., computer virus), access to multiple users within the organization, and information sharing among peers with data from adjacent study areas. Information sharing can enhance our knowledge on the migration, habitat association, and population structure of the animals in a larger geographic area. To improve data management and access of bottlenose dolphin photo-ID information in the SEFSC database, and to facilitate efficient data sharing with other photo-ID research groups, we have developed an Oracle database application to enable data entry, update, categorization, search, and download of dolphin photo-ID information collected by SEFSC and our partners in south Florida. The data include scanned digital photos and associated attributes. The system has multiple levels of access rights: system administrator, partners, and the general public. These users access the system through Web browsers. Routine tasks such as data backup and virus protection are managed by the Oracle database administrator, thus allowing the fisheries researchers to focus on data quality control and analysis. The system also minimizes the effort experienced by fisheries researchers to maintain the Web site because information (images and attributes) submitted to the system can be shared instantly by the designated user community.
基于网络的宽吻海豚照片识别信息的数据管理与共享
宽吻海豚的照片识别是一种非侵入性的追踪个体动物的技术。它可以提供研究区域内宽吻海豚的社会关系、栖息地使用、种群结构、行为和出生率/死亡率等数据。东南渔业科学中心(SEFSC)一直在佛罗里达州比斯坎湾进行一项长期的照片身份证计划。以前,数据是在桌面数据库中管理的,在数据备份、安全性(如计算机病毒)、组织内多个用户的访问以及来自相邻研究区域的数据在对等体之间的信息共享方面,桌面数据库的能力有限。信息共享可以增强我们对更大地理区域内动物迁徙、栖息地关联和种群结构的认识。为了改善SEFSC数据库中宽吻海豚照片id信息的数据管理和访问,并促进与其他照片id研究小组的有效数据共享,我们开发了一个Oracle数据库应用程序,可以实现SEFSC和我们在南佛罗里达的合作伙伴收集的海豚照片id信息的数据输入、更新、分类、搜索和下载。数据包括扫描的数码照片和相关属性。系统具有不同级别的访问权限:系统管理员、合作伙伴和普通用户。这些用户通过Web浏览器访问系统。数据备份和病毒防护等日常任务由Oracle数据库管理员管理,从而使渔业研究人员能够专注于数据质量控制和分析。该系统还最大限度地减少了渔业研究人员维护网站的工作量,因为提交给该系统的信息(图像和属性)可以由指定的用户社区立即共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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