Publishing Australian Marine Data to OBIS: Twenty Years of Lessons Learnt

Author:

Watts DaveORCID,Tattersall KatherineORCID,Rajbhandari SachitORCID

Abstract

In 2003, the Australian Antarctic Data Centre published the first Australian dataset of seabirds from the Southern Ocean to OBIS (Ocean Biodiversity Information System) via DiGIR (Distributed Generic Information Retrieval). The dataset initially had 17 fields with an emphasis on counts of individuals. Standards evolved and with the development of the IPT (Integrated Publishing Toolkit) by GBIF (Global Biodiversity Information Facility) around 2008, large datasets could be published. OBIS subsequently adopted the IPT as the preferred publishing tool for providers to use. In 2016, the Darwin Core Event core with the OBIS Extended Measurements and Facts extension was released (De Pooter et al. 2017), meaning that richer and more comprehensive datasets could be published via the IPT. It is only recently that the biological aggregators (e.g., OBIS, GBIF) are looking at enhancing functionality to report this data. The Australian OBIS Node (OBIS-AU), hosted by CSIRO NCMI (the Commonwealth Science and Industrial Research Organisation National Collections and Marine Infrastructure Business Unit) now manages an Australian region marine biodiversity IPT with 30 million records from over 450 datasets. In the last 12 months, using the GBIF DNA Derived Data Extention, the OBIS-AU Node has published extensive eDNA datasets to OBIS with sequences and DNA related metadata. OBIS-AU has developed tools and procedures to ensure that data is of the best possible quality before it is published. Issues covered include preventing the duplication of data, preserving context, enhancing data once published with improvements in publication schemas, matching taxa, and identification of temporal or spatial errors.

Publisher

Pensoft Publishers

Subject

General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3