Building crowd sourced data curation processes

构建众包数据管理流程

• 批准号: DP190102141
• 负责人: Prof Shazia Sadiq
• 金额: $ 30.87万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-01-15 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190102141
• 关键词: Building; crowd; sourced; data; curation

This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.

这个项目旨在解决日益严重的数据管理问题。由于在数据被分析平台使用之前必须执行繁重的数据准备和管理任务，有效利用组织可用的越来越多的数据集进行及时决策的能力正在减弱。该项目将首次尝试在微任务众包中使用一种新颖的面向过程的方法，并将创造新的知识，以充分利用众包数据管理的潜力。预计这将大大提高组织能力，加快数据分析项目的价值实现时间。