学术界如何认识到科学数据的贡献? 数据贡献者的作者身份的证据
Jiaxue Liu1, Xiaowei Ma1, Hong Jiao1
1College of Information Management, Nanjing Agricultural University, Nanjing, 210095, P. R. China.
Scientific data
|December 2, 2025
概括
数据集的贡献者越来越被认可,其中80%是生物医学研究论文的第一作者或对应作者. 这凸显了科学数据及其质量的日益增长的学术价值.
科学领域:
- 生物医学研究生物医学研究
- 数据科学数据科学数据科学
- 图书统计学 图书统计学
背景情况:
- 科学数据在现代生物医学研究中至关重要.
- 对数据贡献的学术认可尚未得到充分理解.
- 开放获取的生物医学文献为分析提供了宝贵的资源.
研究的目的:
- 量化评估科学数据贡献的学术认可.
- 分析数据集贡献者和论文作者之间的作者模式.
- 了解数据质量对研究可信度和影响力的影响.
主要方法:
- 利用PubMed Central (PMC) 的开放访问文献.
- 鉴定基因表达总体 (GEO) 数据集及其相关的原始论文.
- 检查了作者关系以量化数据贡献认可.
主要成果:
- 大约80%的数据集贡献者是第一作者或相应作者.
- 这一比例的公认的贡献者是随着时间的推移而增加.
- 高影响力期刊显示了对数据质量的更大投资,提高了研究成果.
结论:
- 科学数据工作正在获得重要的学术认可.
- 这一趋势表明,数据收集,处理和分析的价值正在转变.
- 承认数据贡献对于推动生物医学研究质量和可信度至关重要.
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