Database Infrastructure for Long-Term Data of German Lakes (Lake-Base)

德国湖泊长期数据数据库基础设施（Lake-Base）

• 批准号: 270142376
• 负责人: Professorin Dr. Rita Adrian, Ph.D.
• 金额: --
• 依托单位: Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB)
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/270142376?language=en
• 关键词: Database; Infrastructure; Long; Term; Data

Germany has a strong community of internationally leading experts working in the realm of long-term ecological research of lakes - a data intensive discipline. Continuous long-term records of German lakes are unique worldwide with respect to the length of the observational periods spanning several decades, due to their unique high temporal and taxonomic resolution (mostly phytoplankton, zoo-plankton, macrozoobenthos, macrophytes and fish) and due to the fact that different lake types with respect to morphometry, trophic state and catchment type are covered. For most lakes a full set of the most important abiotic driving forces are available. Currently the data are distributed at universi-ties, institutes of the Helmholtz and the Leibniz Association and public bodies at the federal and state levels. What is missing as of yet, is a modern and general accepted state of the art database for the screening of diverse long-term data sets that have general applicability and that are well defined to (1) conserve the currently available long-term data of lakes, (2) to protect its integrity and ownership, (3) to guarantee their readily availability for generations to come, (4) to establish a substructure to be incorporated in international networks such as the UNEP-Program Global Environment Monitoring System. We intend to develop an interoperable data base infrastructure (LakeBase) for long-term records of German lakes and reservoirs and beyond. Data contained in LakeBase shall be made in-teroperable with other, national and international collections of lake time series, in particular the LTER North Temperate Lake Database and other collections of ecological data especially with respect to biodiversity and hydrological and water quality observations. The challenge here is to achieve this interoperability and open access of data without sacrificing the autonomy of the underlying sources. Import mechanisms will be developed that allow for the automatic upload of future extensions of the incorporated datasets. We will build on the existing IGB database infrastructure. The IGB will act as the responsible long-term host of LakeBase and will implement LakeBase into a global freshwater ecosystem information and forecasting platform with respect to long-term and biodiversity research. Overall, long-term records of lake ecosystems in Germany and in general can be considered a world cultural heritage - which deserves protection as a base for international future research, optimize management strategies and political outreach.

德国拥有一个强大的国际领先专家社区，他们在湖泊的长期生态研究领域工作--这是一门数据密集型学科。就跨越几十年的观察期长度而言，德国湖泊的连续长期记录在全世界是独一无二的，因为它们具有独特的高时间和分类分辨率(主要是浮游植物、浮游动物、大型底栖动物、大型底栖植物和鱼类)，而且涵盖了不同的湖泊类型，包括形态、营养状态和集水区类型。对于大多数湖泊来说，有一整套最重要的非生物驱动力可用。目前，这些数据在大学、亥姆霍兹研究所和莱布尼茨协会以及联邦和州一级的公共机构分发。到目前为止，缺少的是一个现代和普遍接受的最先进的数据库，用于筛选具有普遍适用性的各种长期数据集，并且定义良好，以(1)保存目前可用的湖泊长期数据，(2)保护其完整性和所有权，(3)保证后代随时可用，(4)建立一个子结构，纳入环境署全球环境监测系统等国际网络。我们打算开发一个可互操作的数据库基础设施(LakeBase)，用于德国湖泊和水库及其他地区的长期记录。LakeBase中的数据应与其他国家和国际湖泊时间序列集合互操作，特别是LTER北温带湖泊数据库和其他生态数据集合，特别是关于生物多样性以及水文和水质观测的数据集合。这里的挑战是在不牺牲底层来源的自主性的情况下实现数据的互操作性和开放访问。将开发导入机制，以便将来自动上载合并的数据集的扩展。我们将建立在现有的IGB数据库基础设施上。IGB将作为LakeBase负责任的长期东道主，并将把LakeBase实施为一个关于长期和生物多样性研究的全球淡水生态系统信息和预测平台。总体而言，德国湖泊生态系统的长期记录可以被视为世界文化遗产--值得作为国际未来研究、优化管理战略和政治宣传的基地加以保护。