论文标题
绘制研究资金的“长尾”：NSF赠款建议的主题分析。
Mapping the "long tail" of research funding: A topic analysis of NSF grant proposals in the Division of Astronomical Sciences
论文作者
论文摘要
“长尾巴”数据被认为是较小的，异质的，研究人员控制的数据，它们列出了独特的数据管理和学术沟通挑战。由于资源不足，这些数据大概集中在相对较低资金的项目中。为了更好地了解长尾数据的性质和分布，我们使用潜在的Dirichlet分析（LDA）和书目数据研究了国家科学基金会（NSF）资金模式。我们还介绍了“主题投资”的概念，以捕获跨资金水平的主题差异，并阐明跨主题的资金分配。这项研究将天文学的学科用作案例研究，总体探索主题，资金水平和研究成果之间的可能关联，并对研究政策和实践产生影响。我们发现，尽管不同的主题显示出不同的资金水平和出版模式，但可以在NSF资助的天文学中观察到此处介绍的“长尾巴”理论框架所预测的动态。
"Long tail" data are considered to be smaller, heterogeneous, researcher-held data, which present unique data management and scholarly communication challenges. These data are presumably concentrated within relatively lower-funded projects due to insufficient resources for curation. To better understand the nature and distribution of long tail data, we examine National Science Foundation (NSF) funding patterns using Latent Dirichlet Analysis (LDA) and bibliographic data. We also introduce the concept of "Topic Investment" to capture differences in topics across funding levels and to illuminate the distribution of funding across topics. This study uses the discipline of astronomy as a case study, overall exploring possible associations between topic, funding level and research output, with implications for research policy and practice. We find that while different topics demonstrate different funding levels and publication patterns, dynamics predicted by the "long tail" theoretical framework presented here can be observed within NSF-funded topics in astronomy.
