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 with no 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.本数据集汇总了将发表于《信息科学与技术协会会刊》（Journal of the Association for Information Science and Technology, JASIST）的论文《数据期刊研究综述》（"Data Journals: A Survey"）所需补充的全部表格。本次发布的表格无表头，更多细节请参见该论文。 摘要：数据在当今信息社会中占据核心地位。尽管已发布的数据规模持续增长，“数据洪流（data deluge）”与“大数据（big data）”等词汇如今成为众多（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、获取与再利用方面，仍有大量工作亟待推进。阻碍数据发布的障碍纷繁复杂，从数据署名与激励机制的缺失、模糊的引用规范、数据质量问题，到普遍缺失的数据共享文化。近期，数据期刊（data journals）作为解决上述部分障碍的方案应运而生。本研究针对当前现存的100余家数据期刊展开调研，阐述了其在数据描述、数据可用性、引用规范、质量控制以及开放获取（open access）或数据集相关领域所推行的各类路径。最后，本文通过识别可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利用。