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Research data is at the center of science. To realize the benefits of open data sharing practices and the impact of research data, we need a practical implementation of tools and community buy-in that will aid in the development of data metrics. We will benefit the most if our community-developed standards, tools, and services are guided by a shared direction and vision for a future of open, transparent, and trusted data metrics. Approaches towards this future state must remain researcher-focused, have easily understandable motivations, and be easily implementable. In this book, we describe the journey towards open data metrics, prompting community discussion and providing implementation examples along the way.
This book was written utilizing the Book Sprints methodology (www.booksprints.net).
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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