Dear colleagues,
I am working on many research-related things, and sometimes I am writing scientific papers, which are (or will be) published.
Sometimes I attach measured values, runtimes, etc. for example in a table.
If that table is not that huge, the case is easy - using LaTeX or a word processor, I put that table in the middle of the text, somewhere, into an appropriate place.
But what should I do, if that table is really, really huge? If I split that table into small pieces: 1) that would be many-many pages 2) those table-pices would be not understandable, because it would not be possible to see the whole picture.
Some wise people say, if a scientific paper is not printed, it is not really scientific, because you cannot be sure, that nothing changed after publication deadlines. (For example, you upload it onto your own website, and you can modify it any time you want.)
So, because of this, it would not be a good solution, if my scientific paper would contain an URL to a table-file, which would be placed on my own website - it would not be guaranteed that I will never change it (or delete it) after my paper is published, and this is not acceptable. Or is it?
Maybe, there is an "official" website, which is accepted by the scientific community, and where I can upload a really huge table (or image, dataset, database, etc.), and I can put a direct URL into my scientific paper. That website will guarantee, that it is true that I am the author, I will never able to change or delete it, etc. and the publishers will accept those URLs in my papers. Are these theoretical, scientific file storage websites existing, or not (yet)?
What could you suggest me?
Thank your for your answers.
G. Fogarasi
Provide the data (as supplementary material) alongside the manuscript to the publisher. If the data exceeds the publisher's limit discuss with the publisher if they offer other ways to share the data.
Hi Gergő Fogarasi
If you are looking for a solely storing place for your data that is stable and citable, you should check Figshare (https://figshare.com), There, you can upload data and get a unique DOI. I think ResearchGate, as well, can be used for this purpose.
Version control such as git/GitHub, can also be used if you expect to modify the data multiple times during the course of producing and revising the paper.
Finally, and depending on the type of data you are using. You might want to check whether there is a certain data repositories where you can deposit raw/processed data and reference it in your paper. An obvious example is microarrays data, these should be deposited in GEO or Array express before publication. The SRA is the equivalent for sequencing data.
Gergő Fogarasi
also, please check:
https://zenodo.org
as it is useful, popular and modern looking.
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