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，从事湖泊长期生态研究领域的领域，这是数据密集型学科。由于其独特的高时间和分类学分辨率（主要是浮游植物，Zoo-Plankton，Macrozoobenthos，Macrophophytes and Fish）以及由于其独特的高时空和分类学分辨率（主要是浮游植物），因此，在跨越几十年的观察期的长度方面，德国湖泊的连续长期记录在全球范围内是独一无二的。涵盖了关于形态，营养状态和流域类型的不同湖泊类型的事实。对于大多数湖泊而言，都可以使用一组最重要的非生物驱动力。目前，数据分布在联邦和州立大学的赫尔姆霍兹大学，赫尔姆霍兹学院以及莱布尼兹协会以及公共机构中。到目前为止，缺少的是一个现代且普遍接受的最新数据库，用于筛选具有一般适用性的各种长期数据集，并且被很好地定义为（1）保存当前可用的长期数据（2）为了保护其诚信和所有权，（3）保证其易于生成的几代人，（4）建立一个要纳入国际网络（例如UNEP Program Global Global Envorya Monituning Systems）的子结构。我们打算为德国湖泊和水库及其他地区的长期记录开发可互操作的数据库基础设施（Lakebase）。湖泊中包含的数据应与其他，国家和国际湖时间系列的集合，尤其是北温带湖数据库以及其他生态数据集合，尤其是在生物多样性以及水文和水质观察方面。这里的挑战是实现这种互操作性并开放数据，而无需牺牲基本来源的自主权。将开发导入机制，以允许自动上传合并数据集的未来扩展。我们将建立在现有的IGB数据库基础架构上。 IGB将充当湖泊的负责任的长期主持人，并将湖泊实施到全球淡水生态系统信息和关于长期和生物多样性研究的预测平台。总体而言，德国湖泊生态系统的长期记录总体上可以被视为世界文化遗产 - 它值得保护作为国际未来研究的基础，优化管理策略和政治外展。