意大利土壤防护公共投资综合地理参考数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Lorena Ricciotti, Alessio Pollice
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引用次数: 0

摘要

该数据集收集并统一了意大利公共工程的财务数据,重点关注土壤防御投资。数据来源于三个不同的平台:意大利经济和财政部的开放数据平台 OpenBDAP、OpenCoesione 网站(涉及由欧洲和国家预算额外资源资助的凝聚力政策框架内的干预措施),以及意大利环境保护和研究所(ISPRA)提供的 ReNDiS 数据库,该数据库专门收集有关土壤防护公共工程的信息。这三个来源的数据记录通过唯一的项目代码(CUP)进行链接,确保数据不会重复。OpenBDAP 和 OpenCoesione 数据库报告的财务变量分为不同的基金。相比之下,ReNDiS 数据库只提供分配给每项干预措施的资金总额。因此,合并后的数据集将这些财务变量合并为一个,代表投资总额。在前两个数据库中,这一总额是通过将不同基金的资金流相加得出的。每项干预措施都添加了地理参照,每项金融观察结果都与意大利的一个市镇相关联。数据库包括每个记录的地区、省和市的信息。每个数据库条目还配有该市的中心点坐标和该市区域的多边形。总体而言,合并后的数据集包含 28 个变量,其中 3 个是描述性变量,1 个是代表财政资源总额的财务变量,6 个是代表地区、省和市的代码和名称的地理变量,16 个是指公共工程进程中的关键日期的变量,2 个是分别代表市的中心点和多边形形状的地理参考变量。通过这一综合数据集,可以分析分配给土壤防护投资的资源的空间分布情况。它为政策制定者提供了见解,使其努力更有效地分配资源,从而促进可持续的土地管理实践,确保意大利生态系统的长期健康。该数据集还可补充与环境和社会经济领域等相关方面有关的其他信息。通过这种整合,可以对土壤防护工作与周围环境和社会经济背景之间的关系进行广泛分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated georeferenced dataset of public investments for soil defence in Italy

The dataset collects and harmonizes financial data about public works in Italy, focusing on soil defence investments. The data are sourced from three distinct platforms: the Italian Ministry of Economics and Finance's open data platform OpenBDAP, the OpenCoesione website, concerned with interventions framed in cohesion policies financed by additional resources from the European and national budgets, and the ReNDiS database, provided by the Italian Institute for Environmental Protection and Research (ISPRA), that exclusively gathers information about public works in soil defence. The data records belonging to these three sources are linked by a unique project code (CUP), ensuring that there is no duplication of data. The OpenBDAP and OpenCoesione repositories report financial variables classified into various funds. In contrast, the ReNDiS database only provides the total amount of financial resources allocated to each intervention. Consequently, the merged dataset consolidates these financial variables into one, representing the total investment amount. For the first two databases this aggregate is derived by summing the financial flows from the different funds. Geographical referencing has been added to each intervention and each financial observation is associated with an Italian municipality. The database includes information on the region, province, and municipality for each record. Each database entry has also been equipped with the coordinates of the municipality's centroid and with the polygonal shape of the municipality area. Overall, the merged dataset encompasses 28 variables reporting three descriptive variables, one financial variable representing the total amount of financial resources, six geographic variables representing the codes and names of regions, provinces, and municipalities, sixteen variables referring to key dates of the process of public works, two geographical references variables respectively representing the centroids and the shape polygons of the municipality. This comprehensive dataset allows to analyse the spatial distribution of the resources allocated to soil defence investments. It offers insights to policymakers striving to allocate resources more efficiently, thereby fostering sustainable land management practices and ensuring the long-term health of the Italian ecosystems. The dataset can be complemented with additional information related to various concomitant aspects such as those pertaining to the environmental and socio-economic fields. This integration allows for broad analysis of the relationships between soil defence efforts and surrounding environmental and socio-economic contexts.

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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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