You have full text access to this Open Access content

Brain and Behavior

All articles accepted from 14 August 2012 are published under the terms of the Creative Commons Attribution License.  All articles accepted before this date, were published under a Creative Commons Attribution Non-Commercial License.

Cover image for Vol. 7 Issue 1

Edited By: Maryann Martone, University of California, San Diego, USA

Impact Factor: 2.128

ISI Journal Citation Reports © Ranking: 2015: 31/51 (Behavioral Sciences); 167/256 (Neurosciences)

Online ISSN: 2162-3279

Data Paper Submissions

To publish a Data Paper in Brain and Behavior about a dataset the authors must complete the following two-tiered process:

  • The dataset, along with supporting metadata, must be formally archived in a Brain and Behavior approved repository or data centre and have been assigned a digital object identifier (DOI). A list of approved institutions can be found below. If the one you have elected to work with does not appear please contact the Editor for consultation.
  • A paper describing the dataset, giving details of its collection, processing, file formats etc. should be written and submitted using the Brain and Behavior online submission system (

Subject to satisfactory reviews of both dataset and paper, Brain and Behavior will publish the data description paper, along with the DOI link to the underlying dataset.

An approved repository is one that can mint a DOI, is commonly used by the scientific community it supports and has a formal data management policy in place. Current approved repositories are:

Additional list of repositories can be found here on the NIH website:

Datasets can consist of data from (for example):

  • Experimental campaigns
  • Numerical modelling projects
  • Operational systems
  • Instruments and observing facilities

The dataset must be complete (i.e. not expected to undergo any further processing or changes). In the case of data from long-term measurements, datasets can be split by time period (e.g. on a yearly basis) for publication.

The dataset need not be open (i.e. access can require registration), but arrangements should be made by the author to allow the referees access to it for the purposes of review. If the data are in a proprietary format, the author must provide a means for the referee to read the data. We prefer that open formats are used wherever possible.

Dataset reference:

A full reference must be included for the dataset(s). This should follow the recommended DataCite approach for rendering a DataCite citation for human readers using the following properties:

Creator. PublicationYear. Title. Publisher. Identifier

It may also be desirable to include information from two optional properties, Version and ResourceType (as appropriate). If so, the recommended form is as follows:

Creator. PublicationYear. Title. Version. Publisher. ResourceType. Identifier

For citation purposes, the Identifier may optionally appear both in its original format and in a linkable, http format, as is practiced by the Organisation for Economic Co-operation and Development (OECD), as shown below.

Regarding the PublicationYear, for resources that do not have a standard publication year value, DataCite recommends using the date that would be preferred from a citation perspective. Here are several examples:

  • Irino T, Tada R. 2009. Chemical and mineral compositions of sediments from ODP Site 127–797. Geological Institute, University of Tokyo. doi:10.1594/PANGAEA.726855.
  • Geofon operator. 2009. GEFON event gfz2009kciu (NW Balkan Region). GeoForschungsZentrum Potsdam (GFZ). doi:10.1594/GFG.GEOFON.gfz2009kciu.
  • Denhard M. 2009. dphase_mpeps: MicroPEPS LAF-Ensemble run by DWD for the MAP D-PHASE project. World Data Center for Climate. doi:10.1594/WDCC/dphase mpeps.
  • García-Herrera R, Können GP, Wheeler DA, Prieto MR, Jones PD, Koek FB. 2010. Meteorological observations during ZWALUW cruise from Texel to Batavia started at 1841-12-31, Version 1. PANGAEA - Data Publisher for Earth & Environmental Science. doi:10.1594/PANGAEA.752996.

Data Center FAQs

What is a Digital Object Identifier (DOI) and why should datasets have them?

A DOI is a system for persistently identifying and locating digital objects. Further explanation can be found at

DOIs provide a mechanism for citing data using a persistent identifier. Data is a first class research output and should be cited in the same way that as other sources of information, such as articles and books. Data citation can enable easy reuse and verification of data, allow the impact of data to be tracked and provide a structure for the recognition and attribution of data producers.

How do data centers fit in to the Brain and Behavior (BRB) ecosystem?

BRB has a section that publishes Data Papers. These describe a dataset that is available in an approved data center, giving details of its collection, processing, file formats etc., but do not go into detail of any scientific analysis of the dataset or draw conclusions from that data. The papers should allow the reader to understand when, why and how the data was collected, and what the data is.

Data centres provide a trusted archive in which the data is stored and linked to persistently via a DOI.

What would my data center have to do to be approved by Brain and Behavior?

The primary requirement is to be able to mint DOIs. Given that data publishing is an evolving field, we are keen to work with fellow stakeholders to promote data publishing and cross-linking (see for instance, the PREPARDE project). Consequently, we expect the process and requirements to develop over time, and to update this FAQ sheet accordingly.

How does my institution go about becoming approved?

If you are able to show you can mint DOIs then the main criteria has been addressed. Other than that, we are looking for evidence that the datasets are being lodged within a long-term sustainable repository, and that it will be possible to put in cross-links so that readers of either the dataset or the Data Paper can move from one site to the other. Is the repository approval a lengthy process?

No, it should be reasonably straightforward. The key driver to approval is to have a primary contact within the data center with whom we can work.

Is there any support or guidance available from the journal? Whom do I contact to get my repository approved?

Yes. Several members of the Editorial Board have expertise in this area and will be willing to help with specific queries. Please contact the journal at if you have any questions or would like to get your repository approved.

Once approved what then?

Once your data center has been approved it will be listed on our approved list here (link). We also would like to work with you to ensure that all scientists depositing data in your centre are aware of the journal and the facility to submit a data paper. Please therefore provide us with contact details for a named member of staff with whom we can liaise to contact scientists who deposit and discuss link sharing.

Are there any licensing issues I need to be aware of?

Wiley does not claim any rights over datasets residing in repositories, and copyright on any article published by a Wiley Open Access journal is retained by the author(s) under the terms of the Creative Commons Attribution License (CC BY) which allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. Having said this, in the interest of promoting the sharing and re-use of research data, we prefer that reviewers and readers are able to view and re-use the research data with the minimum of restrictions. Respositories must have the capacity to grant reviewers access to the data pre-publication.

For more information visit the journal’s Open Access License and Copyright page.

What are the benefits of encouraging researchers to submit to Brain and Behavior?

The journal provides an Open Access platform where links to scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. Among other recent developments in this field, the recent Data Citation Index launch announcement by Thomson Reuters, together with increasing interest in data management and publication from funders, this will support researchers in their need to demonstrate the impact of their research whilst retaining appropriate academic credit for their work.