Novotný Petr, Seifert Stefan, Rohn Martin, Diewald Wolfgang, Štech Milan, Triebel Dagmar
Department of Biology Education, Faculty of Science, Charles University, Praha, Czech Republic Department of Biology Education, Faculty of Science, Charles University Praha Czech Republic.
Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany, Munich, Germany Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany Munich Germany.
Biodivers Data J. 2022 Oct 14;10:e87254. doi: 10.3897/BDJ.10.e87254. eCollection 2022.
The timely and geographical resolutions, as well as the quantity and taxon concepts of records on the occurrence of plants near national borders is often ambiguous. This is due to the regional focus and different approaches of the contributing national and regional databases and networks of the neighbouring countries. Careful data transformation between national data providers is essential for understanding distribution patterns and its dynamics for organisms in areas along the national borders. Sharing occurrence data through the international data aggregator Global Biodiversity Information Facility (GBIF) is also complicated and has to consider that the underlying taxonomic concept and geographic information system of each single GBIF dataset might be different. In addition, some regional data providers have a restrictive (non-cc) licensing policy which does not allow data publication via the GBIF network. Therefore, it is necessary to investigate new ways to make data fit for use for a better and comprehensive understanding of the Flora of the Bohemian Forest.
In this paper, we present a bilateral technical interoperability solution for vascular plant occurrence data for the area between the Czech Republic and Bavaria. We describe the initial state of data providers in both countries and the factual and technical challenges in finding a sustainable concept to establish mutual data sharing. The resulting solution for a functional infrastructure and an agreed data pipeline is described in a step-by-step approach. The new distributed infrastructure allows botanists and other stakeholders from both countries to work within the cross-border context of historical and current plants' distribution.
关于国界附近植物出现情况记录的时间和地理分辨率，以及记录的数量和分类单元概念往往不明确。这是由于相邻国家的国家和区域数据库及网络的区域重点和不同方法所致。国家数据提供者之间进行仔细的数据转换对于理解国界沿线地区生物的分布模式及其动态至关重要。通过国际数据聚合器全球生物多样性信息设施（GBIF）共享出现数据也很复杂，并且必须考虑到每个GBIF数据集的基础分类概念和地理信息系统可能不同。此外，一些区域数据提供者有严格的（非知识共享）许可政策，不允许通过GBIF网络发布数据。因此，有必要研究新的方法，使数据适合用于更好、更全面地了解波希米亚森林的植物区系。
在本文中，我们提出了一种针对捷克共和国和巴伐利亚之间地区维管植物出现数据的双边技术互操作性解决方案。我们描述了两国数据提供者的初始状态，以及在寻找建立相互数据共享的可持续概念方面的实际和技术挑战。以逐步的方式描述了功能性基础设施和商定的数据管道的最终解决方案。新的分布式基础设施使两国的植物学家和其他利益相关者能够在历史和当前植物分布的跨境背景下开展工作。
