Mendeley Data for Journals

Store Research Data Directly to Mendeley Data while Submitting Your Manuscript

Mendeley Data is a open, free-to-use research data repository, which enables researchers to make their research data publicly available. Benefits of sharing research data include complying with funder mandates, enabling reuse by other researchers, and increasing reproducibility, transparency and trust of the original research.

Making data available for an article has also been shown by several studies to increase article citations. Several Elsevier journals collaborate with Mendeley Data to make underlying research data available. Datasets will be linked with the article, making it accessible to readers with one click access. View an article featuring Mendeley data (just select the Research Data link in the left-hand bar or scroll down the page).

Mendeley Data at a Glance:

  • Enables authors to comply with the increasing number of funder mandates requiring data to be made publicly available
  • Links datasets to the associated article on ScienceDirect and vice versa
  • Allows fellow researchers to cite research data independently, as datasets posted to Mendeley Data receive a DOI
  • Lets readers preview data files directly within the browser without having to download large files on the computer.

How Data and Articles are Linked

Database Linking is available for researchers and data repositories as one method to ensure that data can be easily discovered and accessed. This is done by creating bidirectional links between data repositories and online articles on ScienceDirect. Readers on ScienceDirect have one-click access to relevant, trusted data that may help to validate research or drive further investigations.

  1. Reproducible experiments on dynamic resource allocation in cloud data centers on Mendeley Data is associated with the peer reviewed publication SoNeR: Social Network Ranker
  2. SoNeR FOAF dataset on Mendeley Data is associated with the peer reviewed publication Reproducible experiments on dynamic resource allocation in cloud data centers
  3. Hydatigera on Mendeley Data is associated with the peer reviewed publication Reappraisal of Hydatigera taeniaeformis (Batsch, 1786) (Cestoda: Taeniidae) sensu lato with description of Hydatigera kamiyai n. sp

Get Started

  • Before you start
    1. Gather the research data files you wish to share.
    2. Ensure your data doesn't contain any data points about individuals which could identify them, or any patient-sensitive information - and that you have permission to share the data.
    3. As far as possible try and ensure the data files and contents are clearly labelled (e.g. clear column headings), and that the labels are defined and described in the dataset description.
  • Submitting data with your manuscript
    1. There are currently different methods for authors to submit data with their article. A number of journals support direct submission of data during the article submission process. To find out if this option is supported by the journal of your choice, please view the Guide for Authors.
    2. Cite underlying or relevant datasets in your manuscript by including a data reference in the reference list. For more information about data citation, visit the references section “Reference Styles” in the Guide for Authors.

To make data available separately to of your article, you can upload your dataset directly to Mendeley Data.

Have you considered publishing a data article?

In addition to storing your data in a repository, you can publish a brief, peer-reviewed data article. Data in Brief provides a way for researchers to easily share and reuse each other's datasets by publishing data articles that describe data, facilitating reproducibility. This increases traffic towards associated research articles and data, leading to more citations. Data in Brief is open access and covers data from all research disciplines.

Find out more