瑞典生物多样性数据基础设施(SBDI):来自瑞典ALA装置的见解

Margret Steinthorsdottir, Veronika Johansson, Manash Shah
{"title":"瑞典生物多样性数据基础设施(SBDI):来自瑞典ALA装置的见解","authors":"Margret Steinthorsdottir, Veronika Johansson, Manash Shah","doi":"10.3897/biss.7.112429","DOIUrl":null,"url":null,"abstract":"The Swedish Biodiversity Data Infrastructure (SBDI) is a biodiversity informatics infrastructure and is the key national resource for data-driven biodiversity and ecosystems research. SBDI rests on three pillars: mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). SBDI was formed in early 2021 and represents the final step in an amalgamation of national infrastructures for biodiversity and ecosystems research. SBDI includes the Swedish node of the Global Biodiversity Information Facility (GBIF), the key international infrastructure for sharing biodiversity data. SBDI's predecessor Biodiversity Atlas Sweden (BAS) was an early adopter of the Atlas of Living Australia (ALA) platform. SBDI pioneered the container-based deployment of the platform using Docker and Docker Swarm. This container-based approach helps simplify deployment of the platform, which is characterised by a microservice architecture with loosely coupled services. This enables scalability, modularity, integration of services, and new technology insertions. SBDI has customised the BioCollect module to remove region-specific constraints so that it can be more readily improved for environmental monitoring in Sweden. To further support this, there are plans to develop services for the distribution of terrestrial map layers, which will provide important habitat information for artificial intelligence and machine learning research projects. The Amplicon Sequence Variants (ASVs) portal, an interface to sequence-based observations, is an example of integration and new technology insertion. The portal developed in SBDI and seamlessly integrated with the ALA platform provides basic functionalities for searching ASVs and occurrence records using the Basic Local Alignment Search Tool (BLAST) or filters on sequencing details and taxonomy and for submitting metabarcoding dataset Fig. 2. Future developments for SBDI include a continued focus on eDNA and monitoring data as well as the implementation of procedures for handling sensitive data.","PeriodicalId":9011,"journal":{"name":"Biodiversity Information Science and Standards","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Swedish Biodiversity Data Infrastructure (SBDI): Insights from the Swedish ALA installation\",\"authors\":\"Margret Steinthorsdottir, Veronika Johansson, Manash Shah\",\"doi\":\"10.3897/biss.7.112429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Swedish Biodiversity Data Infrastructure (SBDI) is a biodiversity informatics infrastructure and is the key national resource for data-driven biodiversity and ecosystems research. SBDI rests on three pillars: mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). SBDI was formed in early 2021 and represents the final step in an amalgamation of national infrastructures for biodiversity and ecosystems research. SBDI includes the Swedish node of the Global Biodiversity Information Facility (GBIF), the key international infrastructure for sharing biodiversity data. SBDI's predecessor Biodiversity Atlas Sweden (BAS) was an early adopter of the Atlas of Living Australia (ALA) platform. SBDI pioneered the container-based deployment of the platform using Docker and Docker Swarm. This container-based approach helps simplify deployment of the platform, which is characterised by a microservice architecture with loosely coupled services. This enables scalability, modularity, integration of services, and new technology insertions. SBDI has customised the BioCollect module to remove region-specific constraints so that it can be more readily improved for environmental monitoring in Sweden. To further support this, there are plans to develop services for the distribution of terrestrial map layers, which will provide important habitat information for artificial intelligence and machine learning research projects. The Amplicon Sequence Variants (ASVs) portal, an interface to sequence-based observations, is an example of integration and new technology insertion. The portal developed in SBDI and seamlessly integrated with the ALA platform provides basic functionalities for searching ASVs and occurrence records using the Basic Local Alignment Search Tool (BLAST) or filters on sequencing details and taxonomy and for submitting metabarcoding dataset Fig. 2. Future developments for SBDI include a continued focus on eDNA and monitoring data as well as the implementation of procedures for handling sensitive data.\",\"PeriodicalId\":9011,\"journal\":{\"name\":\"Biodiversity Information Science and Standards\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biodiversity Information Science and Standards\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3897/biss.7.112429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodiversity Information Science and Standards","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/biss.7.112429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

瑞典生物多样性数据基础设施(SBDI)是一个生物多样性信息学基础设施,是数据驱动的生物多样性和生态系统研究的关键国家资源。SBDI有三个支柱:生物多样性数据的动员和获取;开发和操作分析这些数据的工具;以及用户支持。SBDI由瑞典研究委员会(VR)和11所瑞典主要大学和政府研究机构资助(图1)。开发和操作分析这些数据的工具;以及用户支持。SBDI由瑞典研究委员会(VR)和11所瑞典主要大学和研究政府机构资助(图1)。SBDI成立于2021年初,是生物多样性和生态系统研究国家基础设施合并的最后一步。SBDI包括全球生物多样性信息设施(GBIF)的瑞典节点,这是共享生物多样性数据的关键国际基础设施。SBDI的前身瑞典生物多样性地图集(BAS)是澳大利亚生活地图集(ALA)平台的早期采用者。SBDI率先使用Docker和Docker Swarm进行基于容器的平台部署。这种基于容器的方法有助于简化平台的部署,平台的特点是微服务架构和松散耦合的服务。这支持可伸缩性、模块化、服务集成和新技术插入。SBDI对BioCollect模块进行了定制,以消除特定区域的限制,从而可以更容易地改进该模块,用于瑞典的环境监测。为了进一步支持这一点,计划开发用于陆地地图层分发的服务,这将为人工智能和机器学习研究项目提供重要的栖息地信息。扩增子序列变体(asv)门户是基于序列的观测接口,是集成和新技术插入的一个例子。该门户由SBDI开发,并与ALA平台无缝集成,提供了使用基本本地对齐搜索工具(basic Local Alignment Search Tool, BLAST)或测序细节和分类过滤器搜索asv和发生记录的基本功能,以及提交元条形码数据集(图2)。SBDI的未来发展包括继续关注eDNA和监测数据,以及执行处理敏感数据的程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Swedish Biodiversity Data Infrastructure (SBDI): Insights from the Swedish ALA installation
The Swedish Biodiversity Data Infrastructure (SBDI) is a biodiversity informatics infrastructure and is the key national resource for data-driven biodiversity and ecosystems research. SBDI rests on three pillars: mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). mobilisation and access to biodiversity data; development and operation of tools for analysing these data; and user support. SBDI is funded by the Swedish Research Council (VR) and eleven of Sweden’s major universities and research government authorities (Fig. 1). SBDI was formed in early 2021 and represents the final step in an amalgamation of national infrastructures for biodiversity and ecosystems research. SBDI includes the Swedish node of the Global Biodiversity Information Facility (GBIF), the key international infrastructure for sharing biodiversity data. SBDI's predecessor Biodiversity Atlas Sweden (BAS) was an early adopter of the Atlas of Living Australia (ALA) platform. SBDI pioneered the container-based deployment of the platform using Docker and Docker Swarm. This container-based approach helps simplify deployment of the platform, which is characterised by a microservice architecture with loosely coupled services. This enables scalability, modularity, integration of services, and new technology insertions. SBDI has customised the BioCollect module to remove region-specific constraints so that it can be more readily improved for environmental monitoring in Sweden. To further support this, there are plans to develop services for the distribution of terrestrial map layers, which will provide important habitat information for artificial intelligence and machine learning research projects. The Amplicon Sequence Variants (ASVs) portal, an interface to sequence-based observations, is an example of integration and new technology insertion. The portal developed in SBDI and seamlessly integrated with the ALA platform provides basic functionalities for searching ASVs and occurrence records using the Basic Local Alignment Search Tool (BLAST) or filters on sequencing details and taxonomy and for submitting metabarcoding dataset Fig. 2. Future developments for SBDI include a continued focus on eDNA and monitoring data as well as the implementation of procedures for handling sensitive data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Meeting Report for the Phenoscape TraitFest 2023 with Comments on Organising Interdisciplinary Meetings Implementation Experience Report for the Developing Latimer Core Standard: The DiSSCo Flanders use-case Structuring Information from Plant Morphological Descriptions using Open Information Extraction The Future of Natural History Transcription: Navigating AI advancements with VoucherVision and the Specimen Label Transcription Project (SLTP) Comparative Study: Evaluating the effects of class balancing on transformer performance in the PlantNet-300k image dataset
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1