FAQ

Top questions

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.

There are many benefits when data is made publicly available. Other researchers can review the data, increasing transparency and confidence in your findings. Furthermore they may be able to reuse the data in their own research, accelerating the pace of discovery, and citing and attributing you so you get credit.

Our mission is to facilitate data sharing. We believe that when research data is made publicly available, science benefits:

  • the findings can be verified and reproduced

  • the data can be reused

  • discovery of relevant research is facilitated

  • funders get more value from their funding investment

  • authors receive more citations

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.

About Mendeley Data

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.

There are many benefits when data is made publicly available. Other researchers can review the data, increasing transparency and confidence in your findings. Furthermore they may be able to reuse the data in their own research, accelerating the pace of discovery, and citing and attributing you so you get credit.

Our mission is to facilitate data sharing. We believe that when research data is made publicly available, science benefits:

  • the findings can be verified and reproduced

  • the data can be reused

  • discovery of relevant research is facilitated

  • funders get more value from their funding investment

  • authors receive more citations

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.

A dataset is the term we use for a collection of research data files produced in the course of research for a paper or project, plus some accompanying descriptive metadata (title, description, contributors etc).

We don’t curate the data input, but we do moderate data, so long as datasets meet the requirements (See What are the requirements for datasets?), they will stay in place. Datasets that don't meet the requirements will be taken down over time.

If you spot a dataset that you think doesn’t meet our requirements, you can flag it by clicking the “report” button on the dataset.

For technical support using Mendeley Data, we suggest you contact our support team via support@mendeley.com

You can browse the list of published datasets on data.mendeley.com. In future, you will be able to search by keyword (within dataset contents or metadata), and browse by subject and a range of other attributes.

Datasets must be given a title, description and at least one named contributor (normally yourself). You can upload files of any format and contributors can create unlimited number of individual datasets.

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.)

If you spot a dataset that you think doesn’t meet our requirements, you can flag it by clicking the “report” button on the dataset.

Mendeley Data is a service provided by Mendeley Limited. Mendeley Limited is registered in England and Wales under company number 6419015. Its VAT number is 930 1117 75.

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.

We carry out a standard procedure for every dataset posted to Mendeley Data:

  • Firstly, your dataset will go live immediately, and be visible on the Browse page.

  • Our team will review the data, according to our post-moderation process - we validate that the dataset is scientific in nature, and has not been previously published as a paper and issued a DOI.

  • Upon approval, our system will send your dataset to DANS, our archiving partner, for preservation.

-Following review by the DANS service, the dataset will appear in the DANS EASY dataset archive.

  • Datasets which do not pass the review process, will be taken down, and the author contacted; the dataset DOI will then resolve to a web page which displays the reason the dataset was removed.

Yes, and it will be available by the end of 2015 – Merry Christmas!

Yes! Once you have published your data it is given a digital object identifier (DOI) number, making it a citable reference.

A digital object identifier (DOI) is an alphanumeric code providing a unique and persistent link to specific electronically published content.

Mendeley Data assigns a provisional DOI to draft datasets. The issuing of a permanent DOI for Mendeley Data submitted datasets is carried out by the British Library via DataCite. It is used to make a document/reference uniquely identifiable from any other document/reference when your article is published and made available electronically. The DOI for a document remains fixed over the lifetime of the document.

Steps:

  1. Register/log in to Mendeley Data
  2. Click “New dataset”
  3. Upload data files
  4. Add metadata (including Title, Description and Contributors) for the dataset
  5. Save (don’t publish yet unless you’re ready for it to go public)

No - when you create/log in to an account on Mendeley Data, you are creating/logging in with Mendeley.

My Research

A dataset is the term we use for a collection of research data files produced in the course of research for a paper or project, plus some accompanying descriptive metadata (title, description, contributors etc).

We don’t curate the data input, but we do moderate data, so long as datasets meet the requirements (See What are the requirements for datasets?), they will stay in place. Datasets that don't meet the requirements will be taken down over time.

If you spot a dataset that you think doesn’t meet our requirements, you can flag it by clicking the “report” button on the dataset.

When you begin putting together a dataset, a draft version 1 is created, visible only to yourself and anybody you invite as a collaborator or share the link with. When you publish this dataset, it becomes a public version 1.

If you start to edit the dataset again, for instance to change any of the metadata, or to add or remove files, you will be editing version 2.

All versions of a dataset can be viewed and compared by clicking the links in the Version history.

Any file type can be uploaded to Mendeley Data. We have preview capabilities for some file types (e.g. PDF, text, images, etc.) and will continue to add more.

You can’t yet, but we’re working it.

All new datasets start off in a draft mode. While a dataset is in draft mode, the only people able to see the dataset are yourself, any contributors you add and other people you choose to share the dataset with (See How can I share my dataset?). As soon as you publish the dataset it is visible to everyone.

You can delete a dataset until the point that you publish it. After this, you will need to request that the dataset is deleted.

This is because a document that has been issued a DOI should be permanent. However, we understand that sometimes documents need to be deleted (e.g. in cases where there are legal implications of a dataset being published). If a document really requires deletion, then you can request this by clicking the delete button on a dataset edit page and specifying the reason for deletion.

If the dataset is deleted after publishing, the DOI will still resolve to a page, permanently, however, this page will instead advise the viewer that the version of the dataset has been hidden and the dataset is not available to view, as well as the stated reason for the removal of the dataset. The title and other metadata will also not appear.

Yes! Once you have published your data it is given a digital object identifier (DOI) number, making it a citable reference.

A digital object identifier (DOI) is an alphanumeric code providing a unique and persistent link to specific electronically published content.

Mendeley Data assigns a provisional DOI to draft datasets. The issuing of a permanent DOI for Mendeley Data submitted datasets is carried out by the British Library via DataCite. It is used to make a document/reference uniquely identifiable from any other document/reference when your article is published and made available electronically. The DOI for a document remains fixed over the lifetime of the document.

Yes you can. When your dataset is published, it is given a version number. If you go back to edit this dataset, it will be given a new version number when it is published (changing only the last digits of the DOI number).

Someone else can download your data. However, because we provide the date that you published it, with the original DOI to prove that it is yours and you got there first!

Depending on the terms of the licence you selected for your data, others may be able to publish it elsewhere, provided they give you attribution and cite the licence.

Steps:

  1. Register/log in to Mendeley Data
  2. Click “New dataset”
  3. Upload data files
  4. Add metadata (including Title, Description and Contributors) for the dataset
  5. Save (don’t publish yet unless you’re ready for it to go public)

A draft dataset has a share link which can be sent to anyone. Once a dataset is published, it's visible to all, with no need to share.

Follow the My Datasets link at the top of the page.

When publishing a dataset, a user may choose to put the published dataset under embargo until a specified date (for example, so that it is available at the same time as an associated article).

This means that the description and files of that dataset are not publicly available until the embargo date is reached.

Other details about the dataset such as contributors, title, citation and associated articles are still publicly available even when a dataset is currently under embargo.

My Account

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.

For technical support using Mendeley Data, we suggest you contact our support team via support@mendeley.com

No - when you create/log in to an account on Mendeley Data, you are creating/logging in with Mendeley.

Follow the My Datasets link at the top of the page.

Other

For technical support using Mendeley Data, we suggest you contact our support team via support@mendeley.com

You can browse the list of published datasets on data.mendeley.com. In future, you will be able to search by keyword (within dataset contents or metadata), and browse by subject and a range of other attributes.

Not yet but we are working on this feature. In the meantime, you can browse for datasets.

Yes, and it will be available by the end of 2015 – Merry Christmas!

A digital object identifier (DOI) is an alphanumeric code providing a unique and persistent link to specific electronically published content.

Mendeley Data assigns a provisional DOI to draft datasets. The issuing of a permanent DOI for Mendeley Data submitted datasets is carried out by the British Library via DataCite. It is used to make a document/reference uniquely identifiable from any other document/reference when your article is published and made available electronically. The DOI for a document remains fixed over the lifetime of the document.

If you would like your contributors to be able to submit research datasets, hosted on Mendeley Data, as part of the article submission process, please get in touch. We may be able to enable this integration via standard interfaces.

We can also potentially enable a bidirectional link to appear between the research article and the dataset on Mendeley Data, allowing easy navigation between the two.

NB: Both of the above will likely require some development effort on your systems, and will need to be managed as integration projects. However the first step is to get in touch with us and we can talk through the options with you.

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