Mendeley Data for Journals
About Mendeley Data
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.
Making research data available with Mendeley Data provides authors and readers with many benefits. It:
- 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.
Examples of Mendeley Data for Journals
- Reproducible experiments on dynamic resource allocation in cloud data centers associated with the peer reviewed publication SoNeR: Social Network Ranker
- SoNeR FOAF dataset associated with the peer reviewed publication Reproducible experiments on dynamic resource allocation in cloud data centers
- Hydatigera associated with the peer reviewed publication Reappraisal of Hydatigera taeniaeformis (Batsch, 1786) (Cestoda: Taeniidae) sensu lato with description of Hydatigera kamiyai n. sp
- Gather the research data files you wish to share. Tip! Use software such as Hivebench to manage your research data, protocols and experiment notes in the lab.
- 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.
- 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.
- 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.
- 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.
When sharing your research data, you can additionally publish your data in peer-reviewed, brief articles.