标题： 为虚拟天文台时代准备老旧和近期的射电源表：现状 显示英文标题

标题： Preparing old and recent radio source tables for the VO age: Current status

摘要： 独立于现有的数据中心，并且部分是为了我的研究，我已经收集了近1500篇关于射电源的论文中的表格数据。 光学字符识别（OCR）被用来从这将近600篇论文中恢复表格。 这些论文中只有44%的表格可以在CDS或CATS目录集合中找到。 对于超过100个源的文章，这一比例为62%。 令人惊讶的是，自2001年以来发表的电子文章的这些比例并没有更好，可能部分原因是由于表格数据常常以不适合直接机器阅读的格式发布。 Simbad和NED数据库只识别大约60%的与现有电子射电源列表相对应的参考文献，而与这些参考文献相关联的对象数量还要少得多。 无论是像NED和Simbad这样的对象数据库，还是目录浏览器（VizieR、CATS），都需要查阅以获取有关射电源的最完整信息。 需要增加数据中心的人力资源，并加强作者、审稿人、编辑、出版商和数据中心之间的合作，以改善期刊到公共数据库的表格数据流动。 虚拟天文台（VO）项目中的当前努力，为存储在不同站点的各种已发布的和存档的数据提供检索和分析工具，应该通过同等的努力来恢复和包括大量目前无法以这种方式获得的已发表数据来平衡。 如果能找到人力，作者收集的数据集将用于准备元数据，以便它们可以进入目录浏览器。 显示英文摘要

摘要： Independent of established data centers, and partly for my own research, I have been collecting the tabular data from nearly 1500 articles concerned with radio sources. Optical character recognition (OCR) was used to recover tables from nearly 600 of these. Tables from only 44 percent of these articles are available in the CDS or CATS catalog collections. This fraction is 62 percent for articles with over 100 sources. Surprisingly, these fractions are not better for articles published electronically since 2001, perhaps partly due to the fact that often tabular data are published in formats not useful for direct machine reading. The databases Simbad and NED recognize only about 60 percent of the bibliographic references corresponding to the existing electronic radio source lists, and the number of objects associated with these references is much smaller still. Both, object databases like NED and Simbad, as well as catalog browsers (VizieR, CATS) need to be consulted to obtain the most complete information on radio sources. More human resources at the data centers and better collaboration between authors, referees, editors, publishers, and data centers are required to improve the flow of tabular data from journals to public databases. Current efforts within the Virtual Observatory (VO) project, to provide retrieval and analysis tools for different types of published and archival data stored at various sites, should be balanced by an equal effort to recover and include large amounts of published data not currently available in this way. If human resources can be found, the data sets collected by the author will be made available for the preparation of metadata necessary for their ingression into catalog browsers.