ResearchFlow Dataset - EKAW 2020

This is the dataset associated with the paper:Salatino et al. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. EKAW 2020.The dataset contains two folders.1- 'ResearchFlow_Dataset' contains the data generated from AIDA which describes the diachronic behaviour of 5K topics across 29 years (1990-2018). It includes multiple json files. Each file represents a topic and contains a json dictionary with four main keys: ‘papers-education’, ‘papers-company’, ‘patents-education’, ‘patents-company’. Each key is then associated to a list of 29 values corresponding to number of documents from 1990 to 2018.2- 'ResearchFlow_Evaluation' contains the data produced for the evaluation of the paper.本数据集关联Salatino等人（2020）发表于EKAW 2020的论文《ResearchFlow：探析学术界与产业界间的知识流动》。 本数据集包含两个文件夹： 1. `ResearchFlow_Dataset`：收录由AIDA生成的数据集，用于刻画5000个主题在1990年至2018年（共计29年）的历时性演化特征。该目录下包含多个JSON（JavaScript对象表示法）文件，每个文件对应一个主题，内含一个包含四个核心键的JSON字典：`papers-education`、`papers-company`、`patents-education`、`patents-company`。每个键对应一个长度为29的数值列表，分别对应1990年至2018年各年度的文档数量。 2. `ResearchFlow_Evaluation`：收录为开展本论文评估工作而生成的相关数据。