Required readings

Ball, A. (2014). ‘How to License Research Data’. DCC How-to Guides. Edinburgh: Digital Curation Centre. https://www.dcc.ac.uk/guidance/how-guides/license-research-data

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.
10.1080/00031305.2017.1375989

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).  https://doi.org/10.5334/dsj-2019-009  ​

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. https://doi.org/10.1371/journal.pcbi.1003542  

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

Michener, W. K. (2015). Ten Simple Rules for Creating a Good Data Management Plan. PLoS Comput Biol 11(10): e1004525. 
https://doi.org/10.1371/journal.pcbi.1004525

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 , 1, 0021. https://doi.org/https://doi.org/10.1038/s41562-016-0021

Piwowar, H. A., & Vision, T. J. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 . https://doi.org/10.7717/peerj.175

Stuart, D, 
Baynes, G., Hrynaszkiewicz, I., Allin, K., Penny, D., Lucraft, M., Astell, M. (2018). Practical challenges for researchers in data sharing. https://doi.org/10.6084/m9.figshare.5975011.v1 ​

Wilke, Claus O. (2019). Chapter 29 in Fundamentals of Data Visualization: https://serialmentor.com/dataviz/

Whyte, A. (2015). 
Where to keep research data. DCC checklist for evalutating data repositories. V1. Edinburgh: Digital  Curation Centre. http://www.dcc.ac.uk/resources/how-guides-checklists/where-keep-research-data/where-keep-research-data  


Naposledy změněno: pátek, 30. září 2022, 16.34