Data Journals: A Survey - Tables

This dataset groups all the tables supplementing the contents of the article "Data Journals: A Survey", which is going to be published by the Journal of the Association for Information Science and Technology (JASIST). Tables are published without header. Any details can be found in the article. Abstract Data occupy a key role in our information society. However, although the amount of published data continues to grow and terms like “data deluge” and “big data” today characterize numerous (research) initiatives, a lot of work is still needed in the direction of publishing data in order to make them effectively discoverable, available, and reusable by others. Several barriers hinder data publishing, from lack of attribution and rewards, vague citation practices, quality issues, to a rather general lack of data sharing culture. Lately, data journals came forward as a solution to overcome some of these barriers. In this study of more than 100 currently existing data journals, we describe the approaches they promote for description, availability, citation, quality and open access or datasets. We close by identifying ways to expand and strengthen the data journals approach as a means to actually promote datasets access and exploitation.

本数据集收录了将由《美国信息科学与技术协会期刊》（Journal of the Association for Information Science and Technology，JASIST）发表的论文《数据期刊研究综述》（"Data Journals: A Survey"）的全部补充表格。本数据集收录的表格均无表头，更多细节可参阅该论文。

摘要：数据在当今信息社会中占据核心地位。尽管已发布数据的规模持续增长，“数据洪流”与“大数据”等术语如今也成为众多（研究）项目的标志性表述，但在发布数据以使其能够被他人有效发现、获取与复用方面，仍有大量工作亟待开展。阻碍数据发布的障碍纷繁复杂，从缺乏署名与奖励机制、引用规范模糊、质量问题，到普遍缺失的数据共享文化。近年来，数据期刊作为破解部分此类障碍的解决方案应运而生。本研究对当前现存的100余家数据期刊展开调研，阐述了它们在数据描述、获取、引用、质量管控以及开放获取或数据集相关方面所推行的路径。最后，本文明确了拓展与强化数据期刊模式的可行路径，以切实推动数据集的获取与复用。