全国农民专业合作社信用积分评价数据集

依托全国165万家农民专业合作社数据库（包含省级和国家级示范社数据库），实现工商信息、信用信息、舆情信息、商标信息、资金补贴信息、三标一品信息等海量信息的自动采集和关联分析，通过大数据模型构建由数十项评价指标组合的农业新型生产经营主体信用积分评价大数据分析系统，便于政府主管部门实现对农业新型生产经营主体信用记录动态评价监测及大数据分析，为政府部门监管、银行授信、金融保险等部门提供数据决策参考。

Built upon the national database of 1.65 million specialized farmers' cooperatives (including databases of provincial and national demonstration cooperatives), this dataset realizes automatic collection and correlation analysis of massive information including industrial and commercial information, credit information, public opinion information, trademark information, capital subsidy information, and Three Standards and One Product information. It constructs a big data analysis system for credit score evaluation of new-type agricultural production and operation entities, which integrates dozens of evaluation indicators based on big data models. This system enables government competent departments to dynamically evaluate, monitor and conduct big data analysis on the credit records of new-type agricultural production and operation entities, and provides data-driven decision-making references for government supervision, bank credit granting, financial and insurance institutions and other relevant departments.

搜集汇总

背景与挑战

背景概述

该数据集名为'全国农民专业合作社信用积分评价数据集'，由南京绿色科技研究院有限公司提供，登记于苏州大数据交易所。数据集基于全国165万家农民专业合作社的数据库，整合了工商、信用、舆情等多维度信息，通过大数据模型构建信用积分评价系统，旨在为政府监管、金融授信等提供决策支持。交付方式包括离线数据集和数据服务接口。