Required readings

Ball, A. (2014). ‘How to License Research Data’. DCC How-to Guides. Edinburgh: Digital Curation Centre.

Borgman, C. L. (2015). Big data, little data, no data: Scholarship in the networked world. MIT Press.

Broman, K.W. & Woo, K. H. (2018) Data Organization in Spreadsheets, The American Statistician, 72:1, 2-10.

Cousijn, H., Feeney, P.,  Lowenberg, D., Presani, E., & Simons, N. (2019). Bringing Citations and Usage Metrics Together to Make Data Count. Data Science Journal, 18(1). 

Goodman, A., Pepe, A., Blocker, A. W., Borgman, C. L., Cranmer, K., Crosas, M., Di Stefano, R., Gil, Y., Groth, P., Hedstrom, M., Hogg, D. W., Kashyap, V., Mahabal, A., Siemiginowska, A., & Slavkovic, A. (2014). Ten simple rules for the care and feeding of scientific data. PLoS Computational Biology, 10(4), e1003542.  

Healy, Kieran (2018). Chapter 1 in Data Visualization, A practical introduction. Princeton University Press:

Michener, W. K. (2015). Ten Simple Rules for Creating a Good Data Management Plan. PLoS Comput Biol 11(10): e1004525.

Munafò , M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017). A manifesto for reproducible science.  Nature Human Behaviour , 10021.

Piwowar, H. A., & Vision, T. J. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 .

Stuart, D, 
Baynes, G., Hrynaszkiewicz, I., Allin, K., Penny, D., Lucraft, M., Astell, M. (2018). Practical challenges for researchers in data sharing

Wilke, Claus O. (2019). Chapter 29 in Fundamentals of Data Visualization

Whyte, A. (2015). 
Where to keep research data. DCC checklist for evalutating data repositories. V1. Edinburgh: Digital  Curation Centre  

Last modified: Friday, 30 September 2022, 4:34 PM