Recommendations for sharing network data and materials.

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Network Science Pub Date : 2024-12-01 Epub Date: 2024-10-30 DOI:10.1017/nws.2024.16
Zachary P Neal, Zack W Almquist, James Bagrow, Aaron Clauset, Jana Diesner, Emmanuel Lazega, Juniper Lovato, James Moody, Tiago P Peixoto, Zachary Steinert-Threlkeld, Andreia Sofia Teixeira
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引用次数: 0

Abstract

One of the goals of open science is to promote the transparency and accessibility of research. Sharing data and materials used in network research is critical to these goals. In this paper, we present recommendations for whether, what, when, and where network data and materials should be shared. We recommend that network data and materials should be shared, but access to or use of shared data and materials may be restricted if necessary to avoid harm or comply with regulations. Researchers should share the network data and materials necessary to reproduce reported results via a publicly accessible repository when an associated manuscript is published. To ensure the adoption of these recommendations, network journals should require sharing, and network associations and academic institutions should reward sharing.

关于共享网络数据和资料的建议。
开放科学的目标之一是促进研究的透明度和可及性。共享网络研究中使用的数据和材料对实现这些目标至关重要。在本文中,我们提出了是否、什么、何时以及在何处共享网络数据和材料的建议。我们建议共享网络数据和资料,但为避免伤害或遵守规定,必要时可限制访问或使用共享数据和资料。当相关的手稿发表时,研究人员应该通过一个可公开访问的存储库共享网络数据和必要的材料来复制报告的结果。为了确保这些建议被采纳,网络期刊应该要求分享,网络协会和学术机构应该奖励分享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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