As a researcher, you go out in the world, and hunt for your data, you mine your data, you reach for your data. You tease your data from a sometimes reluctant world. You do this because data is the bedrock, the background against which all scientific ideas are tested. It's the multitudes of facts in which patterns emerge. If ideas and theories are the heart of science, data is its lifeblood, and more and more of it is produced every day.
This is why Elsevier launched a number of research data sharing solutions, options for publishing your data, and for encouraging others to notice, study and build upon it as widely as possible, crediting you. You could share your data by uploading your data to Mendeley Data, directly during the article submission process. Or you might prefer to upload your data directly to another trusted data repository. Elsevier works together with over 80 specialized repositories, to link your article on ScienceDirect to your dataset, and vice versa.
On top of storing and linking your data, you can also publish it in a data article, featuring a complete description of the data and its details. The data article gets peer-reviewed and published in a data journal, like Data in Brief. Elsevier journals also include a number of article enrichments to open up the data and make it more comprehensible, like 3D viewers for neural images. More and more, publishing data becomes the norm, and many funding agencies require it.
Yet if you have data that you can't publish, for instance because of embargo's or intellectual property issues, Elsevier created the data statement, so you can still be fully transparent about it with your article. To make sure you get the credit for all the work you did, you need to make it visible. Don't forget to cite your research data in your article and adding relevant data references. This helps you get the recognition for the data you shared or applied for your research. It's the way to go beyond merely storing the data, to making it accessible and discoverable.
A careful description will increase the chances that others may find, comprehend, and use your data, to reproduce your research, test new ideas, and make new connections, which may lead to an unexpected breakthrough. So remember, the next time you publish with Elsevier, share your data with your research, and get the best research out of your data.
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