The changing face of scientific discourse: Analysis of genomic and proteomic database usage and acceptance
The changing face of scientific discourse: Analysis of genomic and proteomic database usage and acceptance
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DOI：
10.1002/asi.10289
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发表时间：
2003-08-01
影响因子：
--
通讯作者：
Brown, C
中科院分区：
文献类型：
--
作者：
Brown, C
分子生物学领域的爆炸性增长是由基于Web的基因组和蛋白质组数据库（GPD），如基因库和蛋白质数据库在科学家的学术交流中的使用和接受的增长所引起的。调查，案例研究，从Medline和CAPlus的书目记录的分析，和检查的“作者说明”部分的分子生物学期刊都证实了GPD在科学文献周期中的不可或缺的作用。在过去的20年中，GPD在分子生物学家文化中的地位从隐性暗示转变为显性知识。最初，期刊建议在GDP中存放数据，但到了20世纪80年代末，大多数期刊都要求手稿存放数据才能被接受出版。随后，使用关键字“GenBank”从Medline和CAPlus检索的文章数量激增。“GPD并不是一种新的出版形式，而是一种基本的存储和检索机制，用于存储和检索支持创建科学知识产权的大量分子生物学信息。为了让科学继续进步，科学家们毫不含糊地同意GDP必须不受同行审查，并免费向公众提供。研究结果表明，现有的科学传播模式应该更新，将GDP数据沉积纳入当前的科学传播连续体。
The explosion of the field of molecular biology is paralleled by the growth in usage and acceptance of Web-based genomic and proteomic databases (GPD) such as GenBank and Protein Data Bank in the scholarly communication of scientists. Surveys, case studies, analysis of bibliographic records from Medline and CAPlus, and examination of "Instructions to Authors" sections of molecular biology journals all confirm the integral role of GPD in the scientific literature cycle. Over the past 20 years the place of GPD in the culture of molecular biologists was observed to move from tacit implication to explicit knowledge. Originally journals suggested deposition of data in GDP but by the late 1980s, the majority of journals mandated deposition of data for a manuscript to be accepted for publication. A surge subsequently occurred in the number of articles retrievable from Medline and CAPlus using the keyword "GenBank." GPD were not found to a new form of publication, but rather a fundamental storage and retrieval mechanism for vast amounts of molecular biology information that support the creation of scientific intellectual property. For science to continue to advance, scientists unequivocally agreed that GDP must remain free of peer-review and available at no charge to the public. The results suggest that the existing models of scientific communication should be updated to incorporate GDP data deposition into the current continuum of scientific communication.