メインのコンテンツにスキップする

申し訳ございませんが、お客様のブラウザには完全に対応しておりませんオプションがありましたら、新しいバージョンにアップグレードするか、 Mozilla Firefox、 Microsoft Edge、Google Chrome、またはSafari 14以降をお使いください。これらが利用できない場合、またサポートが必要な場合は、フィードバックをお送りください。

この新ホームページへのフィードバックを歓迎します。ご意見をお寄せください 新しいタブ/ウィンドウで開く

Elsevier
論文を投稿する

Data visualization

We are currently improving the way data visualizations display on ScienceDirect. As a result, the majority of our features will currently not display next to articles on ScienceDirect. Information about how to prepare data visualizations will be updated once features become available again.

As a researcher, you are increasingly encouraged, or even mandated, to make your research data available, accessible, discoverable and usable. We strive to give authors the opportunity to present their work in powerful new ways. To that end, we support a range of digital formats and objects that are commonly used in modern-day research. Aside from adding valuable context to an article, data visualizations improve the way articles are presented online, giving readers better insights and helping authors make more of an impact.

Making data sharing simpler

When you submit your research article you have the opportunity to upload any associated research data to the Mendeley Data repository. Our goal is to ensure that your data is presented next to your article in the best way possible, and to enable you to share your data in the best way possible. In the current system, data visualizations only visualize research data which is hidden as supplementary files or otherwise. Our goal is to ensure this information is preserved and is independently discoverable.

If you are interested in data visualizations which are currently not available, we recommend you upload your available data to Mendeley Data in the interim, and to follow Elsevier on social media to receive updates on the data visualization program.

Further resources

Do you know if your plot explains your research data effectively?  Watch this Researcher Academy module 新しいタブ/ウィンドウで開く to learn about commonly used plots, their benefits, and their limitations, and how the choice of colors and shapes can influence our understanding or mislead data interpretation. Read about further data visualization tools including the virtual microscope.