The Value of Digitising Natural History Collections

Author:

Popov Danail,Roychoudhury Priyanka,Hardy HelenORCID,Livermore LaurenceORCID,Norris Ken

Abstract

The Natural History Museum, London has been creating digital data about collections for many years, with a formal Digital Collections Programme since 2014. Efforts to monitor the outcomes and impact of this work have focused on metrics of digital access, such as download events, and on citations of digital specimens as a measure of use. Digitisation projects and resulting research have also been used as impact case studies, highlighting areas such as human health and conservation. In 2021, the Museum decided to explore the economic impacts of collections data in more depth, and commissioned Frontier Economics to undertake modelling, resulting in this report. While the methods in this report are relevant to collections globally, this modelling focuses on benefits to the UK, and is intended to support the Museum’s own digitisation work, as well as a current scoping study funded by the Arts & Humanities Research Council about the case for digitising all UK natural science collections as a research infrastructure. This study focuses on digitisation in the round, not distinguishing between different collection types or levels of data creation at this stage. Three methods have been used: first, analysing five key thematic areas or sectors where data from natural science collections are likely to lead to benefits; secondly, analysing typical returns on investment in scientific research; and thirdly, examining the efficiency savings that can be reinvested in research if data are available freely and openly. Together, these methods confirm benefits in excess of £2 billion over 30 years, representing a seven to ten times return on investment.

Publisher

Pensoft Publishers

Subject

General Medicine

Reference53 articles.

1. A Model of Growth Through Creative Destruction

2. Dragonfly species are colonising Britain 'at a greater rate than ever before';Ashworth

3. How can digital platforms help museums connect to audiences during Covid-19 emergency?;Atkinson

4. The Value and Impact of Data Sharing and Curation: A synthesis of three recent studies of UK research data centres;Beagrie,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3