Data citation quantity and quality in research output of a large-scale educational panel study

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI:10.1145/2809563.2809617

Nadine Mahrholz, Anke Reinhold, Marc Rittberger

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Abstract

In this paper, we report preliminary results of a small-scale case study about the data citation quantity and quality in research output of the National Educational Panel Study (NEPS), a longitudinal study analyzing educational processes in Germany across the lifespan. In order to collect research output based on NEPS data, we searched for and examined publications of a randomly selected sample of 72 NEPS data users. Altogether, we found 18 publications to be relevant for citation analysis. Compared to previous studies, the citation behavior in our sample can be assessed as better. However, publications often lack the inclusion of central data citation elements, such as a persistent identifier. The quality of data citations seems to vary across different types of research output. In a follow-up study, we plan to do a comprehensive sampling and analysis of NEPS related research output in order to verify our findings, and also to include further panel studies to compare citation behavior across different studies.

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大型教育小组研究成果的数据引用数量与质量

在本文中，我们报告了一项关于国家教育小组研究(NEPS)研究成果中数据引用数量和质量的小规模案例研究的初步结果，NEPS是一项分析德国整个生命周期教育过程的纵向研究。为了收集基于NEPS数据的研究成果，我们随机选择了72个NEPS数据用户的样本进行检索和检查。我们总共发现了18篇与引文分析相关的论文。与以往的研究相比，我们的样本可以更好地评估引文行为。然而，出版物通常缺乏中心数据引用元素，例如持久标识符。数据引用的质量似乎因不同类型的研究成果而异。在后续研究中，我们计划对NEPS相关的研究成果进行全面的抽样和分析，以验证我们的发现，并包括进一步的小组研究，以比较不同研究的引用行为。

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Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

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