Recommended Reading: Data Sharing and Archiving - NTRES 6600: Research Data Management Seminar - LibGuides at Cornell University

Suggested Readings

Costello, M. J., & Wieczorek, J. (2014). Best practice for biodiversity data management and publication. Biological Conservation, 173, 68-73.
Data Seal of Approval guidelines
Duke, et al. (2013) The Ethics of Data Sharing and Reuse in Biology
Evans, S. R. (2016). Gauging the Purported Costs of Public Data Archiving for Long-Term Population Studies. PLoS Biol, 14(4), e1002432.
Mills, J. A., Teplitsky, C., Arroyo, B., Charmantier, A., Becker, P. H., Birkhead, T. R., ... & Bushuev, A. (2015). Archiving primary data: solutions for long-term studies. Trends in Ecology & Evolution, 30(10), 581-589.
Rodríguez Iglesias, A., Rodríguez González, A., Irvine, A. G., Sesma, A., Urban, M., Hammond-Kosack, K. E., & Wilkinson, M. D. (2016). Publishing FAIR Data: an exemplar methodology utilizing PHI-base. Frontiers in Plant Science, 7, 641.
Sharing Data Cornell Data Services webpage covers strategies for sharing, choosing a repository, issues and exceptions, references, related information.
Supplementary Materials Is A Stopgap For Data Archiving
White EP, Baldridge E, Brym ZT, Locey KJ, McGlinn DJ, Supp SR. (2013) Nine simple ways to make it easier to (re)use your data. PeerJ PrePrints 1:e7v2 http://dx.doi.org/10.7287/peerj.preprints.7v2 Sharing data is increasingly considered to be an important part of the scientific process. Making your data publicly available allows original results to be reproduced and new analyses to be conducted. While sharing your data is the first step in allowing reuse, it is also important that the data be easy to understand and use. We describe nine simple ways to make it easy to reuse the data that you share and also make it easier to work with it yourself. Our recommendations focus on making your data understandable, easy to analyze, and readily available to the wider community of scientists.