Conceptual Modeling and Testing for Open Data Platform Services

开放数据平台服务的概念建模和测试

• 批准号: 521872-2017
• 负责人: Hemmati, Hadi
• 金额: $ 1.82万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640683
• 关键词: Conceptual; Modeling; Testing; Open; Data

In recent years, most public organizations publish their raw data on the Internet under "open data platforms",which aim to provide available, accessible, and reusable data for the public, free of charge. The open datapotentially can provide great return from public investment. However, to make such platforms beneficial, thedata should be readily consumable. Unfortunately, the current platforms mostly contain a vast variety ofdatasets, but with little help to get higher-level insights (e.g., where in downtown Calgary would be a goodlocation to open up a coffee shop). To fill this gap companies such as LocalIntel Inc. provide analytics serviceson top of open data platforms. To help LocalIntel expand their products range to work with municipalities ofall sizes with diffident formats of data and use cases, this project proposes a) a preprocessing phase thatconverts any municipality data to a standard format and b) to automatically validate the new datasets and verifythe software with respect to the changes the input data.

近年来，大多数公共组织在互联网上通过“开放数据平台”发布原始数据，旨在为公众免费提供可用、可访问和可重复使用的数据。开放数据有可能为公共投资带来巨大回报。然而，为了使此类平台受益，数据应该易于使用。不幸的是，当前的平台大多包含各种各样的数据集，但对获得更高层次的见解几乎没有帮助（例如，卡尔加里市中心的哪里是开咖啡店的好地点）。为了填补这一空白，LocalIntel Inc. 等公司在开放数据平台上提供分析服务。为了帮助 LocalIntel 扩展其产品范围，以便与具有不同数据格式和用例的各种规模的市政当局合作，该项目提出了 a) 将任何市政当局数据转换为标准格式的预处理阶段，以及 b) 自动验证新数据集并根据输入数据的更改验证软件。