Jamie Wittenberg
Dean of Libraries
Loyola University Chicago
Open and auditable connections between datasets and the scholarly literature have been a missing piece of the scholarly record for many years. To address this, Make Data Count in partnership with Digital Science released the largest openly available collection of data reuse indicators to date, a first of its kind open resource linking research articles to the datasets they cite or reuse. Built by Digital Science using the open source algorithms that came out of a Make Data Count Kaggle competition, the collection identifies datasets across disciplines by DOI or accession number, distinguishes newly generated data from reused data where the evidence supports it, and will be updated monthly under a CC0 public domain dedication. This milestone is a tipping point for positioning data as a first class research output. The organization now has a corpus of verifiable, open indicators that will help them understand how research data is cited, reused, and applied, along with a shared foundation for responsible data metrics. This session will share what this innovation means for libraries and the broader research ecosystem. The work has significant implications for how we capture, assess, and preserve research impact, and it creates new opportunities to better recognize and incentivize data-driven research at universities.
https://makedatacount.org/read-our-blog/new-frontier-for-open-data-metrics/
