Saturday, January 14, 2017

mendeley data gives DOI. force 11 joint-declaration-data-citation-principles-final

Mendeley Data is a place where researchers can upload and share their research data for free. Datasets can be shared privately amongst individuals, as well as published to share with the world. Sharing research data is great for science as it enables data reuse and supports reproducibility of studies. It’s also a fantastic way to gain exposure for your research outputs, as every dataset has a DOI and can be cited.

When you publish your data with our service, you choose a licence to publish it under, from a range of Creative Commons and open software licences. This means you retain control of the data, and choose the terms under which others may consume and reuse it. You may delete your dataset at any time, by contacting us.

Your data is stored on Amazon S3 servers, in Germany, where it benefits from redundancy and multiple backups. Our service has been extensively penetration tested and received certification. In addition, we partner with DANS (Data Archiving and Network Services - an industry-leading scientific data archive service), to preserve your data over the longterm. This means your dataset will be discoverable in perpetuity, via the DOI it is issued on publication. If you have any further questions, please contact us.

Datasets must be:

  • scientific in nature
  • research data - rather than the research article, which may have resulted from the research

Datasets must not be:

  • have already been published, and therefore not already have a DOI
  • contain executable files or archives that are not accompanied by individually detailed file descriptions.
  • contain copyrighted content (audio, video, image, etc)
  • contain sensitive information (for example, but not limited to: patient details, dates of birth etc.)
All services provided by Mendeley Data - storing, posting and accessing data - are free-to-use. In future, we may introduce a freemium model - for instance charging for storing and posting data, above a certain dataset size threshold. This will not affect existing datasets, which will continue to be stored for free. We will offer paid-for versions of our service to institutions.


Interoperability and Flexibility

Data citation methods should be sufficiently flexible to accommodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities

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