Data Sharing Platform

Introduction

This platform is designed to enable the sharing of several classes of research data generated by the MRC Brain Network Dynamics Unit. The datasets could include:

  • Electrophysiological recording from humans and rodents
  • Digital micrographs of brain tissue
  • Scripts and code used for analysis of data
  • Printable 3D models and microcontroller code
  • Code for modelling of neuronal networks

All downloads require making an account; the primary reason for this is to enable us to monitor downloads of datasets which allows us to report this to funding bodies.

3D printer claw controlled by electrical signals recorded from human arm

All downloads require registering for an account; the primary reason for this is to enable us to monitor downloads of datasets which allows us to report this to funding bodies. There is no approval process for accounts, so there are no delays after confirming the email address given during registration.

The majority of downloads are available to all registered users, upon agreeing to the terms and conditions, which are specific to each dataset. We may also list datasets that require approval for download access. If this is the case, the reasoning for this decision will be described on the dataset page, as well as the conditions that have to be met before access will be granted.

 

Datasets on this site are licensed under an number of different terms, please check the full terms linked from the individual dataset pages. To maximise the potential reuse of our data, our most frequently used licences are Creative Commons Attribution ShareAlike 4.0 International (CC BY-SA 4.0) or Attribution NonCommercial ShareAlike 4.0 International (CC BY-NC-SA 4.0).

If you would like to license a dataset under different terms, please contact us; for example if you plan to make commercial-use derivative of a dataset that you would like to license with more restrictive terms, which is not compatible with the Share Alike clause.

From the Medical Research Council Data Sharing Policy (version 2.2):

Principles (subset):

  • The MRC expects valuable data arising from MRC-funded research to be made available to the scientific community with as few restrictions as possible so as to maximise the value of the data for research and for eventual patient and public benefit. Such data must be shared in a timely and responsible manner.
  • The MRC believes that data-sharers should receive full and appropriate recognition by funders, their academic institutions and new users for promoting secondary research.
  • New studies that result from this data-sharing should meet the high standards of all MRC research regarding scientific quality, ethical requirements and value for money. It should also add recognisable value to the original dataset.
  • Such research is often most fruitful when it is a collaboration between the new user and the original data creators or curators, with the responsibilities and rights of all parties agreed at the outset.
  • Data arising from MRC-funded research must be properly curated throughout its life-cycle and released with the appropriate high-quality metadata. This is the responsibility of the data custodians, who are often those individuals or organisations that received MRC funding to create or collect the data.
  • A limited, defined, period of exclusive use of data for primary research is reasonable according to the nature and value of the data and how they are generated and used.
  • On-going research contributing to the completion of datasets must not be compromised by premature or opportunistic sharing and analysis. Sharing should always take account of enhancing the long-term value of the data.

From the Concordat on Open Research Data (RCUK and Universities UK are stakeholders):

Principles:

  1. Open access to research data is an enabler of high quality research, a facilitator of innovation and safeguards good research practice.
  2. There are sound reasons why the openness of research data may need to be restricted but any restrictions must be justified and justifiable.
  3. Open access to research data carries a significant cost, which should be respected by all parties.
  4. The right of the creators of research data to reasonable first use is recognised.
  5. Use of others’ data should always conform to legal, ethical and regulatory frameworks including appropriate acknowledgement.
  6. Good data management is fundamental to all stages of the research process and should be established at the outset.
  7. Data curation is vital to make data useful for others and for long-term preservation of data.
  8. Data supporting publications should be accessible by the publication date and should be in a citeable form.
  9. Support for the development of appropriate data skills is recognised as a responsibility for all stakeholders.
  10. Regular reviews of progress towards open research data should be undertaken.

Although the datasets on this site are be released under various terms, they all require clear attribution of credit when reused.

We require that the advice given by the Digital Curation Centre for citing datasets is followed. A citation should include at least the following information:

Creators [Authors], year of publication of the dataset, title of the dataset, publisher of the dataset, and an identifier [in the form of a DOI if one is allocated, or the full URL to the dataset page on this site if not].

An example in the Oxford referencing style:

Herz, D. (2017), Neural correlates of speed-accuracy adjustments in the subthalamic nucleus [dataset] (University of Oxford), doi:10.5287/bodleian:VEd27b0Yr

Some datasets may be revised, particularly those that comprise of scripts, programmes, or models. In these cases, the datasets will have version numbers allocated, and these should be also cited. This site will retain all versions of datasets.

brain sections
GPE