Digital Science On Demand Webinars

A Figshare webinar that looks ahead to the next 10 years of open data.

The NIH's new policy takes effect on January 25, 2023. In this on demand webinar, we go through the requirements set out in the policy and our tips for how Figshare as a generalist repository can help you comply with the data management specifications for making your NIH-funded research data as open as possible and as closed as necessary. We cover how to select a repository, how to include Figshare in your data management plan, how to plan for data sharing costs, and more.

This on demand webinar explored the tools available for end users to use Figshare’s API for programmatic upload, download, and editing of data. 

Learn more about the different forms of data and capabilities of the Altmetric and Dimensions tools

Find commercial opportunities quicker with Dimensions!

At Digital Science we combine data capabilities and best practices to deliver industry leading metrics. In this on demand webinar, we share our pharmaceutical industry findings on how NextGen metrics can deepen your digital insights and keep you ahead of the curve.

This webinar will cover how bespoke dashboards built with Altmetric and Dimensions data leverage well-understood concepts, such as Share-of-Voice and Key Opinion Leader Analysis to create a data-driven approach to measure and benchmark your company’s scientific position versus competitors, as the basis for KPI-driven scientific dissemination decisions.

Learn how to track attention for clinical trials with Altmetric Explorer and Dimensions. 

Zeigen Sie die Veränderungen in der Entwicklung digitaler Publikationsmärkte auf, von der klassischen Wissenschaftskommunikation und Bibliometrie bis hin zur Nutzung von Social Media und Altmetrics.

Researchers are increasingly encouraged to share data supporting their publications. The case for Findable, Accessible, Interoperable, and Reusable (FAIR) data is reflected in a growing number of policies and initiatives to make this achievable while supporting data integrity and openness.