References

1 : Lane, J., I. Mulvany, and P. Nathan, Rich Search and Discovery for Research Datasets: Building the Next Generation of Scholarly Infrastructure. 2020, London: Sage.

2 : Lane, J., et al., Data Inventories for the Modern Age? Using Data Science to Open Government Data. Harvard Data Science Review, 2022.

3 : Oliveira, A.S., et al., Prospective scenarios: A literature review on the Scopus database. Futures, 2018. 100: p. 20-33.

4 : Burnham, J.F., Scopus database: a review. Biomedical digital libraries, 2006. 3(1): p. 1-8.

5 : Aghaei Chadegani, A., et al., A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian social science, 2013. 9(5): p. 18-26.

6 : Kaggle. Kaggle: Show US the Data. 2021 02/09/2022]; Available from: https://www.kaggle. com/c/coleridgeinitiative-show-us-the-data

7 : Ghani, R., The Winning Methods, in Show US the Data. 2021, Coleridge Initiative https://coleridgeinitiative.org/wp-content/uploads/2021/11/ Coleridge-Conference-Deck-rayid-ghani.pdf: Virtual

8 : The Coleridge Initiative, Show US the Data Final Report, C. Initiative, Editor. 2021: Coleridge Initiative.

9 : Szalay, A.S., et al., Designing and mining multi-terabyte astronomy archives: The Sloan Digital Sky Survey. ACM SIGMOD Record, 2000. 29(2): p. 451-462.

10: Szalay, A.S., From skyserver to sciserver. The ANNALS of the American Academy of Political and Social Science, 2018. 675(1): p. 202-220.

11: Taghizadeh-Popp, M., et al., SciServer: A science platform for astronomy and beyond. Astronomy and Computing, 2020. 33: p. 100412.