Open data products-A framework for creating valuable analysis ready data.
Open data products-A framework for creating valuable analysis ready data.
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DOI：
10.1007/s10109-021-00363-5
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发表时间：
2021
影响因子：
2.9
通讯作者：
Singleton A
中科院分区：
文献类型：
--
作者：
Arribas-Bel D;Green M;Rowe F;Singleton A
本文提出了“开放数据产品”的概念。我们将开放数据产品定义为各种数据（开放和非开放）通过服务、基础设施、分析或所有这些的组合转化为可访问信息的过程的开放结果，其中每个开发步骤都旨在促进开放原则。开放数据产品诞生于（数据）需求，并增加了不仅仅是发布现有数据集的价值。我们认为，增值的过程应该坚持开放（地理）数据科学的原则，确保开放性，透明度和可重复性。我们还认为，通过仪表板、软件和出版物进行积极沟通和传播的外联活动是吸引最终用户和确保社会影响的关键。开放数据产品有很多好处。首先，它们能够从高度敏感、受控和/或安全的数据中获得见解，这些数据可能无法以其他方式访问。第二，它们可以利用商业和行政数据的高时间频率和地理粒度，为公共利益扩大商业和行政数据的使用。我们还认为，在我们经历当前的数据革命时，迫切需要开放数据产品。新的、新兴的数据源在时间频率和地理分辨率上是前所未有的，但它们规模庞大、非结构化、分散，而且由于隐私和保密问题，往往难以访问。通过将原始（开放或“封闭”）数据转换为可供使用的开放数据产品，可以捕捉和分析人文地理过程的新层面，我们用现有的例子说明了这一点。最后，我们认为，在90年代和21世纪初，开源软件在空间分析研究中发挥的作用与开放数据产品提供的释放新形式（地理）数据潜力的机会之间存在一些相似之处。
This paper develops the notion of “open data product”. We define an open data product as the open result of the processes through which a variety of data (open and not) are turned into accessible information through a service, infrastructure, analytics or a combination of all of them, where each step of development is designed to promote open principles. Open data products are born out of a (data) need and add value beyond simply publishing existing datasets. We argue that the process of adding value should adhere to the principles of open (geographic) data science, ensuring openness, transparency and reproducibility. We also contend that outreach, in the form of active communication and dissemination through dashboards, software and publication are key to engage end-users and ensure societal impact. Open data products have major benefits. First, they enable insights from highly sensitive, controlled and/or secure data which may not be accessible otherwise. Second, they can expand the use of commercial and administrative data for the public good leveraging on their high temporal frequency and geographic granularity. We also contend that there is a compelling need for open data products as we experience the current data revolution. New, emerging data sources are unprecedented in temporal frequency and geographical resolution, but they are large, unstructured, fragmented and often hard to access due to privacy and confidentiality concerns. By transforming raw (open or “closed”) data into ready to use open data products, new dimensions of human geographical processes can be captured and analysed, as we illustrate with existing examples. We conclude by arguing that several parallels exist between the role that open source software played in enabling research on spatial analysis in the 90 s and early 2000s, and the opportunities that open data products offer to unlock the potential of new forms of (geo-)data.
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影响因子：
6.2
作者：
Janssen, Marijn;Charalabidis, Yannis;Zuiderwijk, Anneke
通讯作者：
Zuiderwijk, Anneke
影响因子：
9.8
作者：
Filipe, Angela;Renedo, Alicia;Marston, Cicely
通讯作者：
Marston, Cicely
影响因子：
3
作者：
Bhuiyan, Nadia
通讯作者：
Bhuiyan, Nadia
影响因子：
7.1
作者：
Brunsdon, Chris
通讯作者：
Brunsdon, Chris
DOI：
10.1080/10618600.2017.1384734
发表时间：
2017-01-01
影响因子：
2.4
作者：
Donoho, David
通讯作者：
Donoho, David