Suppr超能文献

对视觉搜索和眼动文献的共享实践回顾为我们这个领域及其他领域提供了建议。

A sharing practices review of the visual search and eye movements literature reveals recommendations for our field and others.

作者信息

Godwin Hayward J, Dewis Haden, Darch Peter T, Hout Michael C, Ernst Daniel, Broadbent Philippa, Papesh Megan, Wolfe Jeremy M

机构信息

School of Psychology, Highfield, University of Southampton, Southampton, Hampshire, SO17 1BJ, UK.

University of Illinois at Urbana-Champaign, Urbana, IL, USA.

出版信息

Behav Res Methods. 2025 Jul 25;57(9):235. doi: 10.3758/s13428-025-02759-3.

Abstract

The sharing of research outputs is an important endeavor, one that is increasingly required by funders and publishers alike. Here, we catalogued and examined data sharing practices, using our own field of visual search and eye movement behavior as an example. To find outputs from scientific research, we conducted two searches: a Literature Search and a repository search. Overall, we found that researchers in our field generally shared outputs that enabled others to analytically reproduce published results. It was rare for researchers to share outputs that enabled direct replications of their work, and it was also rare for researchers to share raw data that would enable secondary data analyses. Comparing the results of our two searches of the literature, we found that a lack of metadata substantially reduced the rates at which outputs could be found and used. Based on our findings, we present a set of recommendations summarized in our 'Find It - Access It - Reuse It' scorecard. The scorecard is intended to assist researchers in sharing outputs in a manner that will enable others to better find, access, and understand them - and this includes researchers in other fields beyond our own.

摘要

研究成果的共享是一项重要工作,资助者和出版商对此的要求也日益增加。在此,我们以视觉搜索和眼动行为这一自身领域为例,对数据共享实践进行了编目和研究。为找到科研成果,我们进行了两项搜索:文献搜索和知识库搜索。总体而言,我们发现本领域的研究人员通常会共享能让他人通过分析复现已发表研究结果的成果。研究人员很少共享能直接复现其工作的成果,也很少共享可用于二次数据分析的原始数据。对比我们两次文献搜索的结果,我们发现元数据的缺失大幅降低了成果被找到和使用的概率。基于我们的研究结果,我们提出了一套建议,并总结在我们的“找到它 - 获取它 - 重用它”记分卡中。该记分卡旨在帮助研究人员以一种能让他人更好地找到、获取和理解研究成果的方式来共享成果——这也适用于我们领域之外的其他领域的研究人员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c90/12296990/e1a5a61321c2/13428_2025_2759_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验