Collaboration between national statistical offices and academia: Benefits, conditions, areas of collaboration and practical level experience in countries

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2024-01-23 DOI:10.3233/sji-230117

Charlotte Juul Hansen, Lina Maria Sanchez Cespedes, Leonardo Trujillo Oyola, X. K. Dimakos, Bianca Walsh, Renata Souza Bueno, Amos T. Kabo-Bah, Omar Seidu, Vibeke Oestreich Nielsen

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引用次数: 0

Abstract

National statistical offices (NSOs) and academia benefit from establishing partnerships and collaborating in different ways by bringing together their respective expertise. Collaborative alliances of this nature appear to offer numerous advantages for both the partners and the public and seem to be essential for unlocking opportunities within the evolving data ecosystem. Establishing good and fruitful collaboration between academia and NSOs requires a collaborative environment where each partner can see the benefits of the collaboration and how they could contribute. Different areas of collaboration are presented within four categories: education and learning, research, promotion of data use in society and providing services to each other. The article further discusses the benefits and conditions of a successful partnership. Examples from Brazil, Colombia, Ghana, and Norway showcase practical-level experiences and some lessons learned at the country level.

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国家统计局与学术界之间的合作：各国的优势、条件、合作领域和实践经验

国家统计局 (NSO) 和学术界通过汇集各自的专业知识，以不同的方式建立伙伴关系和开展合作。这种性质的合作联盟似乎能为合作伙伴和公众带来诸多好处，对于在不断发展的数据生态系统中释放机遇似乎至关重要。在学术界和国家统计局之间建立良好而富有成效的合作需要一个合作环境，在这个环境中，每个合作伙伴都能看到合作的益处以及他们可以做出的贡献。文章介绍了四个类别中的不同合作领域：教育与学习、研究、促进数据在社会中的使用以及相互提供服务。文章进一步讨论了成功合作的好处和条件。巴西、哥伦比亚、加纳和挪威的实例展示了国家层面的实际经验和一些教训。

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

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.