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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 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.
It was a pleasure to review this manuscript for the IEE special issue. Having received permission from the journal office, I thought I would paste my review here (perhaps to link together the provenance a bit better). As this comment box is limited to 1500 characters, my full review appears as an Issue in your Github repository for this paper,
The re3data.org (http://re3data.org) registry makes it possible to identify an appropriate data repository. A system of icons helps users to identify a suitable repository for the storage of their data.