Benefits of RDM
The science of tomorrow will require the data from today. All the information underpinning your research can offer value to other researchers: raw and processed data, protocols and methods, machine and environment settings, and scripts and algorithms. Sharing and using such research data can increase the impact, validity, reproducibility, efficiency, and transparency of research.
RDM with Mendeley Data
The Mendeley Data platform fully supports the research lifecycle, providing you with tools to help you discover, collect, share and publish research data.
Data Search deeply indexes more than 10 million datasets sourced from over 35 repositories, making it simple for you to find relevant research data.
Data Manager is an active research data collaboration and workflow tool that enables you to work with others to organize, annotate and share your in one place.
Data Repository is a secure and trusted place to post, share, showcase and archive research data with over 100 GB of storage per dataset.
Keep your data private or publish it under one of 16 open data licenses to increase the impact of your data and citations received.
Support FAIR data
To unlock the true potential of research data, we need to move beyond solely making data available. When collaborating with the research community to develop Mendeley Data, we followed the FAIR Data Principles:
- Data needs to be findable
- Data needs to be accessible
- Data needs to be in interoperable
- Data needs to be reusable
Store data directly in Mendeley Data Repository while submitting your manuscript
Journals at Elsevier support data sharing according to preferred policies relevant for their communities. During the process of manuscript submissions authors may be asked to provide supporting data. In the case that they have not yet deposited their data into an open repository, Elsevier journals editorials systems offer authors the opportunity to deposit their data directly into Mendeley Data Repository.
By depositing research data, software, protocols or methods into Mendeley Data Repository during submission, authors will reserve a dataset DOI which will be made available upon article publication. Their dataset will be available to reviewers via a private link during the peer review process. Should the manuscript be accepted for publication than the dataset becomes publicly available in Mendeley Data and an “associated article” link will be added to the dataset public page.
Scholarly literature is important to increase the visibility and discoverability of research data, with the links between research output representing a valuable mechanism to improve discovery and access to knowledge.
To address linking research data and literature effectively the Scholix (SCHOlarly LInk eXchange) initiative was started. This effort involving community and multiple stakeholders aims at simplifying the existing linking implementations and agreements.
Scholix provides its participants an overarching interoperability framework to facilitate the exchange of information about links between research data and scholarly articles. This is achieved by participants making use of an agreed information model to represent the links between data and articles and by participants using standard exchange formats and protocols. Participants include among others Crossref publishers, DataCite data centers and institutional repository managers. By supporting and implementing Scholix these participants help to harvest benefits to researchers, institutions and funding bodies. As a contributor to Scholix, Mendeley Data Repository sends its datasets metadata, including links to associated articles, to DataCite. DataCite is one of the Scholix hubs that aggregate information on the links between datasets and articles. This enables broad visibility and findability of links between Mendeley Data datasets and journal articles to everyone.
Hear from the users
It's a smooth process, easy to access and reference.
Paul Norman, Lecturer in Population and Health Geography at the University of Leeds
It is an easy, secure and highly convenient platform for researchers to publish data.
Alam Noor, Graduate Student at Harbin Institute of Technology
It’s provided me with a place to publish datasets that otherwise wouldn’t be published. All my data comes from CUREs and aren’t attached to major journal articles or large universities that utilize other paid storage sites.
Joseph Felts, Professor and Davidson County Community College