Mendeley Data Roadmap
See what we have planned for Mendeley Data over the coming months.
Mendeley Data does not sit still. We continually invest in improving our cloud-based platform to fully support researchers, librarians and research administrators with integrated tools to manage the entire lifecycle of research data.
We want to keep you informed of all the exciting and innovative features and functions which we are in the process of developing. Later in the year we will also launch Mendeley Data Monitor, a new module that helps librarians improve the adoption of data sharing, and thus better comply with new mandates and funder regulations.
*As with all roadmaps it is an outline of future plans, and thus features and timings may change. Some of the new functionalities and benefits outlined below are only available as part of the institutional subscription.
We will be updating the platform, as well as making changes and upgrades to existing functionality.
For the latest developments, and an overview of the plans for the year see our jam-packed roadmap.
- Scoring algorithm improvements to the relevancy so that search accuracy is enhanced
- Label datasets with custom metadata templates, so data becomes easier to interpret and discover.
- New powerful tools to discover and organize datasets within projects by filtering by author, subject and custom metadata fields.
- Integration with institutional WebDAV storage, so that your institution can retain control of research data.
- Ability for researchers to share protocols within groups (Note – this feature is only available for institutional customers).
- Administrator access to a private instance will be able to use our API to push or pull data from a lab, machine, or an app they are developing themselves.
- Continually increasing the 30+ repositories and 10 million datasets held in our search engine to make it easier and faster to find relevant data
- A new electronic lab notebook that will replace Hivebench over time. This new notebook will be inspired by Hivebench, in terms of capabilities and ease of use, while at the same time enhancing the ability to collect structured data and support researchers to document experiment and share them with their team
- Manage active research data files in one place so it becomes effortless to share and publish
- Export datasets to third party data repositories, so you can publish on your preferred repository
- Configure projects to suit your research data collaboration and curation workflow.
- Publish confidential datasets with files only available by contacting the author, so that you can safely deposit citable confidential data
- Explore your project activity stream so you can easily see who did what and when.
- Extended data search capabilities, including deep indexing and Optical Character Recognition (OCR) of file contents, to make data and experiments easy to find
- Integration with institutional storage servers, so that your institution can retain control of research data.
- Enhanced pre-publication curation including dataset reviews, checks and edits to help provide high quality data outputs.
- Publish datasets automatically via Git integration to enable efficient code publishing.
- Plum Analytics to track dataset social media and news mentions and find the most talked-about datasets
Mendeley Data Monitor
This new module aims to help university libraries and research offices gather, organize and curate information about publications and research data.
- Automatically tracks datasets, provided the repository can be tracked
- Reach out to researchers through automated e-mails to encourage research data sharing
- Accumulate information about various data points including; descriptions, file formats and ownership of research datasets
- Link article bibliographic information in Scopus to relevant datasets to facilitate data discoverability, re-use and citations