Mendeley Data Management: Find, Share, Store Dataset

One important thing about research is to have datasets to pour into. Researchers either collect their own data, or source it from databases. One popular place to source datasets is Mendeley Data, a cloud-based repository.

In this post, we explore Mendeley Data, and how it can benefit you and your research. We also look into how you can properly use the platform, as well as how to cite it in your work.

What Is Mendeley Data?

Mendeley Data is a secure cloud-based repository where you can store, share, and manage your research data.

It’s part of Elsevier’s network, designed to increase transparency and reproducibility in science.

This platform allows researchers to upload datasets up to 10GB per dataset, making it easy to share large files. Each dataset receives a DOI, enabling others to cite your work easily and accurately.

What sets Mendeley Data apart is its commitment to FAIR data management principles, ensuring that datasets are:

  • (F) Findable, 
  • (A) Accessible, 
  • (I) Interoperable, and 
  • (R) Reusable. 
mendeley data

This is crucial for the research cycle, as it allows for the validation and reuse of scientific data. The platform supports a variety of data files, from raw research data to software and protocols, making it a versatile tool for scientists.

What Are The Features And Functions In Mendeley Data?

Mendeley Data offers a robust platform for researchers looking to store, share, and manage their datasets.

With a focus on making research data more accessible and reusable, the features of this repository are tailored to enhance scientific collaboration and data transparency.

Secure Cloud-Based System

One of the standout features is the secure cloud-based system, allowing you to upload datasets as large as 10GB.

This capacity is vital for researchers dealing with extensive data files, enabling them to share their work without compromising detail or quality.

Each dataset published in Mendeley Data is assigned a unique DOI, simplifying the process for others to access and cite your work, thus enhancing your research’s visibility and impact.

FAIR Data Management Principles

The platform’s adherence to FAIR data principles ensures that your datasets are not only stored but also organised in a way that makes them findable, accessible, interoperable, and reusable.

This approach is essential for advancing scientific research, as it promotes the validation and replication of studies.

Ease Of Use

Mendeley Data’s user interface is designed for ease, enabling researchers to efficiently manage their datasets. You can:

  • add a detailed description,
  • include relevant metadata, and
  • specify access permissions,

These options ensures that your data is understood and used correctly by others in the scientific community.

Integration With Elsevier Journals

Mendeley Data also integrates seamlessly with Elsevier journals, allowing datasets to be associated directly with your published articles.

mendeley data

This feature bridges the gap between research articles and the underlying data, providing a more comprehensive view of your scientific work.

Collaboration Features

Collaboration is another key aspect, with Mendeley Data offering tools to collaborate with colleagues or across your institution.

The platform supports the sharing of data among research teams, facilitating a more integrated approach to research projects.

How Can You Use Research Data From Mendeley Data?

Using research data from Mendeley Data can significantly enhance your studies and projects.

When you dive into Mendeley Data, you’re not just accessing files; you’re tapping into a network of scientific inquiry and collaboration.

Search & Download Datasets In Repository

Let’s say you’re working on environmental science research. You can search Mendeley Data for datasets on climate change, biodiversity, or sustainable technologies.

Once you find a dataset that fits your needs, you can download it directly, thanks to Mendeley’s secure cloud-based system. Each dataset comes with a DOI, making it easy to cite in your work, ensuring proper credit and reinforcing the credibility of your research.

Upload, Publish & Share Datasets

Beyond downloading, Mendeley Data encourages you to share your findings. You can upload your datasets, enriching them with descriptive metadata to make them easily discoverable.

This not only contributes to the scientific community but also increases the visibility of your work. This is also an opportunity to give back to the research community as well.

Collaborate With Other Researchers

For collaborative projects, Mendeley Data is invaluable. You and your collaborators can store and manage data collectively, keeping your research organized and accessible wherever you are.

The platform supports datasets up to 10GB, accommodating a wide range of file types and sizes.

How To Cite Individual Dataset From Mendeley Data?

Citing a dataset from Mendeley Data is straightforward, thanks to the unique DOI assigned to each dataset upon publication. This DOI not only ensures easy access but also enables proper citation across various research outputs.

When you find a dataset relevant to your study, the citation includes the dataset’s title, the author’s name (e.g., “Smith, J.”), the year of publication, and the persistent DOI link provided by Mendeley Data.

If you’re using a dataset on climate change by Dr. Emily Stone published in 2023, your citation might look like this:

Stone, E. (2023). “Climate Change Data 2023.” Mendeley Data. [DOI link].

This format ensures that the dataset is correctly credited in your work, fostering transparency and reproducibility in science.

Mendeley Data’s repository platform makes it easy to share, search, and manage datasets, enhancing the visibility of your research and others’.

Mendeley Data Datasets Support Your Research Effort

Mendeley Data equips you with a suite of features designed to make your research data more accessible, compliant, and impactful.

From uploading large datasets to enhancing their discoverability through proper citation and metadata, Mendeley Data is a valuable tool for researchers aiming to contribute to the global scientific community.

The Author

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.