教育研究者对数据共享的信念和障碍。

Q1 Mathematics
Quality & Quantity Pub Date : 2025-01-01 Epub Date: 2025-04-29 DOI:10.1007/s11135-025-02188-6
Jessica A R Logan, Allyson L Hayward, Lexi E Swanz, Ayse Busra Ceviren
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引用次数: 0

摘要

对于任何联邦资助的研究项目来说,数据共享正日益成为一种受到高度鼓励或要求的做法。然而,这些实践在教育科学中的应用一直很少。研究表明,许多研究人员认为数据共享应该始终或经常进行,但也表明许多研究人员很少进行数据共享。这种脱节表明普遍缺乏对数据共享的理解,并表明存在阻碍教育研究人员参与实践的显著障碍。本研究考察了(a)教育研究人员样本中积极态度和感知到的数据共享障碍的普遍程度,以及(b)具有不同水平数据共享经验的研究人员感知到的障碍之间是否存在差异。结果表明,教育研究人员普遍对数据共享持积极态度,70%的样本认为这有利于他们的职业生涯,增加了引用,对科学有好处。然而,诸如对IRB问题的担忧和对共享数据的潜在误解等障碍在受访者中普遍存在。此外,与那些经验较少或没有经验的研究人员相比,拥有更多经验共享数据的研究人员不太可能同意这些障碍。补充信息:在线版本包含补充资料,可在10.1007/s11135-025-02188-6获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Education researchers' beliefs and barriers towards data sharing.

Data sharing is increasingly becoming a highly encouraged or required practice for any federally funded research projects. However, the uptake of these practices in education science has been minimal. Research suggests that many researchers believe data sharing should be practiced always or often, but also suggests that many researchers rarely practice data sharing. This disconnect indicates a general lack of understanding around data sharing and suggests there are salient barriers that prevent education researchers from engaging in the practice. This work examines (a) the prevalence of positive attitudes and perceived barriers to data sharing in a sample of education researchers, and (b) if there is a difference between the perceived barriers for researchers who have different levels of data sharing experience. Results suggest education researchers generally hold positive attitudes towards data sharing, with 70% of the sample agreeing that it benefits their career, increases citations, and is good for science. However, barriers such as concerns about IRB issues and the potential for misinterpretation of shared data were prevalent among respondents. Additionally, researchers with more experience sharing data were less likely to agree with these barriers compared to those with less or no sharing experience.

Supplementary information: The online version contains supplementary material available at 10.1007/s11135-025-02188-6.

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来源期刊
Quality & Quantity
Quality & Quantity 管理科学-统计学与概率论
CiteScore
4.60
自引率
0.00%
发文量
276
审稿时长
4-8 weeks
期刊介绍: Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. In the era of biggish data, the journal also provides a publication venue for data scientists who are interested in proposing a new indicator to measure the latent aspects of social, cultural, and political events. Rather than leaning towards one specific methodological school, the journal publishes papers on a mixed method of quantitative and qualitative data. Furthermore, the journal’s key aim is to tackle some methodological pluralism across research cultures. In this context, the journal is open to papers addressing some general logic of empirical research and analysis of the validity and verification of social laws. Thus The journal accepts papers on science metrics and publication ethics and, their related issues affecting methodological practices among researchers. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as data and information sciences with the other humanities and social sciences. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.
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