Application of an international standard for hydrologic features toward more open hydrologic science data.

Application of an international standard for hydrologic features toward more open hydrologic science data.

The idea of open science includes transparency and openness of scientific data, methods, and discourse. As hydrologic science becomes increasingly data intensive, computational, and increasingly at large landscape scales, the challenges for openness of scientific data increase in several ways. This talk will describe recent advances toward standard information models that aim to provide shared concepts and terminology for hydrologic information.

Hydrologic data are typically collected to describe some aspect of a waterbody or catchment. Hydrographic data, a type of hydrologic data, are the spatial description of these waterbody and catchment features. The new community standard, WaterML2 Part 3: Surface Hydrology Features (HY_Features), seeks to provide a conceptual model and common terminology for the hydrologic features that are the focus of hydrologic science.

The HY_Features standard can play a role in all aspects of open hydrologic science:
1) It can be used as a documentation language for data.
2) it can be used to describe the kinds of and relationships between hydrologic features associated with a scientific method or software.
3) it can provide a lingua franca for description of features that are the subject of hydrologic science.

HY_Features, published in early 2018, includes an informative description of the conceptual model, a set of normative statements (rules) that describe how to conform to the standard, and a data model described using Unified Modeling Language classes and diagrams. The standard does not include a specific data encoding. It is expected that encodings will be established as needed by organizations and/or the hydrologic science community.

Among the many potential applications of the HY_Features conceptual model, linking disparate information about and among hydrologic features on the internet has great potential for enhancing open science. This talk will present the findings of an international collaboration toward this goal called the Environmental Linked Features Interoperability Experiment (ELFIE). HY_Features concepts will be presented using applications implemented for the ELFIE as case studies to illustrate how HY_Features and the technology implemented in the ELFIE will enhance open and transparent hydrologic science.

在国际标准应用于水文特征以促进更开放的水文科学数据方面的应用。开放科学的理念包括科学数据、方法和话语的透明度和开放性。随着水文科学日益数据密集化、计算化，并在更大景观尺度上发展，科学数据开放性的挑战也以多种方式增加。本讲座将介绍近期在标准信息模型方面的进展，旨在为水文信息提供共享的概念和术语。
水文数据通常用于描述水体或流域的某些方面。水文数据，作为一种水文数据，是这些水体和流域特征的空間描述。新的社区标准《WaterML2 第3部分：地表水文特征（HY_Features）》旨在为水文科学关注的水文特征提供概念模型和通用术语。
HY_Features标准在水文科学的所有方面都可以发挥重要作用：
1) 它可以用作数据的文档语言。
2) 它可以用来描述与科学方法或软件相关的水文特征的种类及其关系。
3) 它可以为描述水文科学主题的特征提供一种通用语言。
HY_Features标准，于2018年初发布，包括对概念模型的信息性描述、一系列规范性声明（规则），描述了如何符合该标准，以及使用统一建模语言类和图描述的数据模型。该标准不包括特定的数据编码。预期组织和水文科学社区将根据需要建立编码。
在HY_Features概念模型的众多潜在应用中，连接互联网上关于和之间水文特征的不同信息具有极大的潜力，可以增强开放科学。本讲座将介绍名为环境链接特征互操作性实验（ELFIE）的国际合作成果，以实现这一目标。将以为ELFIE实现的应用为例，展示HY_Features概念，并阐述HY_Features和ELFIE中实施的技术如何增强开放和透明的水文科学。