Focus and Scope

JOPD publishes data papers, which do not contain research results but rather a concise description of a dataset, and where to find it. Papers will only be accepted for datasets that authors agree to make freely available in a public repository. This means that they have been deposited in a data repository under an open licence (such as a Creative Commons Zero licence), and are therefore freely available to anyone with an internet connection, anywhere in the world.

A data paper is a publication that is designed to make other researchers aware of data that is of potential use to them for scientific and educational purposes. Data papers can describe deposited data from studies that have not been published elsewhere (including replication research) but also from studies that have previously been published in another journal. As such the data paper describes the methods used to create the dataset, its structure, its reuse potential, and a link to its location in a repository. It is important to note that a data paper does not replace a research article, but rather complements it. When mentioning the data behind a study, a research paper should reference the data paper for further details. The data paper similarly should contain references to any research papers associated with the dataset.

Any kind of psychology data is acceptable, including from correlational, descriptive and experimental research, e.g. case studies, computer simulations, experimental results, interviews and surveys, neuroimaging data, etc.

 

Section Policies

Data Papers

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

JOPD data papers are fully peer reviewed to ensure that they are accurate and that the datasets they describe meet the journal’s criteria. The datasets themselves are not reviewed in terms of validity or importance.

The aim of the JOPD peer review process is to ensure that each paper correctly describes the data, and that it has been openly archived in accordance with best practices. The datasets themselves are not reviewed in terms of validity or importance. Negative results for example can be useful to other researchers, and even data with inaccuracies (known or unknown) can help others to better contextualise research conclusions.

Importantly, the journal also practices a form of open peer review whereby reviewer comments for the author will be posted alongside the published article. Reviewers are encouraged, but not required, to sign their name alongside their reviews. Confidential comments to the editor will remain confidential.

All JOPD data papers are peer reviewed according to the following criteria:

paper peer review

 

1. The paper contents
  1. The methods section of the paper must provide sufficient detail that a reader can understand how the dataset was created, and would within reason be able to recreate it.
  2. The dataset must be correctly described.
  3. The reuse section must provide concrete and useful suggestions for reuse of the data.
data peer review2. The deposited data
  1. The repository the data is deposited in must be suitable for this subject and have a sustainability model (see our list of recommended repositories).
  2. The data must be deposited under an open license that permits unrestricted access (e.g. CC0, CC-BY).
  3. The deposited data must include a version that is in an open, non-proprietary format.
  4. The deposited data must have been labelled in such a way that a 3rd party can make sense of it (e.g. sensible column headers, descriptions in a readme text file).
  5. The deposited data must be actionable – i.e. if a specific script or software is needed to interpret it, this should also be archived and accessible.
  6. Studies involving human subjects should adhere to local ethical standards at the host institution and follow American Psychological Association's (APA) Ethical Principles of Psychologists and Code of Conduct (http://www.apa.org/ethics/code/index.aspx). Participant data should be sufficiently anonymized and appropriate consent forms should be signed.

 

Publication Frequency

This journal publishes continuously, with papers coming online as soon as they have passed peer review.

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

Archiving

The journal’s publisher, Ubiquity Press, focuses on making content discoverable and accessible through indexing services. Content is also archived around the world to ensure long-term availability.

Ubiquity Press journals are indexed by the following services:

CrossRef, JISC KB+, SHERPA RoMEO, Directory of Open Access Journals (DOAJ), EBSCOHost, and Google Scholar. In addition, all journals are available for harvesting via OAI-PMH.

To ensure permanency of all publications, this journal also utilises CLOCKSS, and LOCKSS archiving systems to create permanent archives for the purposes of preservation and restoration.

If Journal of Open Psychology Data is not indexed by your preferred service, please let us know by emailing support@ubiquitypress.com or alternatively by making an indexing request directly with the service.

 

Recommended Repositories

The following repositories meet our peer-review requirements and are recommended for the archiving of JOPD datasets. Please contact usif you would like to use another repository or recommend that we add it to our list.

International repositoriesNational repositoriesInstitutional repositories
JOPD Dataverse
Dryad
Figshare
OpenfMRI
Zenodo
DANS (Netherlands)
Gesis (Germany)
FORS (Switzerland)
Odum (United States)
SND (Sweden)
TARKI (Hungary)
UCL Discovery

ads logo

ads logo
Locationhttp://thedata.harvard.edu/dvn/dv/JOPD
Focus and suitability Data can be uploaded to the JOPD Dataverse Repository designed specifically for papers in the Journal of Open Psychology Data. We recommended this repository to authors because it is managed entirely by the JOPD editorial staff and ensures maximum interoperability between datasets and data papers.
CostFree for all JOPD authors.
LicensesCC0
Identifiers usedDOI
SustainabilityThe Dataverse Network is an open-source application funded by Harvard University.
Deposit instructions

Depositing data into the Dataverse is currently done manually:

  1. Go to the following link: http://thedata.harvard.edu/dvn/dv/JOPD and register for an account.
  2. Once logged in, create a new study and follow the instructions to deposit your data. Ensure that your data conforms to the JOPD peer review requirements
  3. You will receive a handle ID shortly after your submit your data. Please add this to the identifier field of your data paper.
  4. Once your paper has passed peer-review, the JOPD team will add the citation to your Dataverse entry. 

dans logoLocationhttps://easy.dans.knaw.nl/ui/
Focus and suitabilityDANS (www.dans.knaw.nl) promotes sustained access to digital research data. For this purpose, DANS encourages researchers to archive and reuse data in a sustained manner, e.g. through the online archiving system EASY (https://easy.dans.knaw.nl). The DANS data archive collection in EASY contains datasets in the fields of humanities, archaeology, geospatial sciences and behavioural and social sciences.
CostFree
LicensesJOPD depositors need to select "open access" and then add the specific OA license (e.g. CC0) they require in the description field. For details about Licenses please see DANS Licence agreement on deposited data http://www.dans.knaw.nl/en/content/dans-licence-agreement-deposited-data.
Identifiers usedURN
SustainabilityDANS is funded by the Dutch government, and operates under the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Netherlands Organisation for Scientific Research (NWO). DANS has attained the Data Seal of Approval (http://datasealofapproval.org/)
Deposit instructionsDepositing data associated with a JOPD data paper in the DANS data archive is currently done manually:
  1. Go to DANS and follow the instructions for depositing social and behavioural sciences data.
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the DANS site, it will be assigned a URN identifier. Please enter this in your JOPD data paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please ask info@dans.knaw.nl to add this to the relation field and emphasize this relation on the EASY Research Project screen.

dryad logoLocationhttp://datadryad.org
Focus and suitability Dryad is an international repository of data underlying peer-reviewed articles in the basic and applied biosciences.
Costca. USD 75 (tbc)
LicensesCC0
Identifiers usedDOI
SustainabilityDryad Dryad is currently applying for status as a 501(c)3 not-for-profit and is currently implementing a business model to sustainably fund its operations through deposit charges. It has received grants from the Institute for Museum and Library Services (USA), the Joint Information Systems Committee (UK) and the National Science Foundation (USA). Dryad participates in the DataONE network (the Data Observation Network for Earth, http://dataone.org), and is actively developing partnerships with other international data networks and scholarly publishing organizations.
Deposit instructions

Depositing data associated with a JOPD data paper in Dryad is currently a manual process:

  1. Create an account with Dryad and upload your data (submission page; video overview)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the Dryad site, it will be assigned a DOI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to Dryad.

figshare logoLocationhttp://figshare.com
Focus and suitabilityFigshare takes software from all subject areas, and is suitable for small to medium sized projects that do not require specialised curation.
CostFree. "Figshare gives users unlimited public space and 1GB of private storage space for free."
Licenses"All figures, media and multiple file uploads are published under a CC-BY license.All datasets are published under CC0."
Identifiers usedHandle
Sustainability"Figshare is an independent body that receives support from Digital Science. 'Digital Science's relationship with figshare represents the first of its kind in the company's history: a community- based, open science project that will retain its autonomy whilst receiving support from the division.'"
Deposit instructionsTo deposit software associated with a JOPD software paper in figshare, please follow these steps:
  1. Create an account with figshare.
  2. Upload your software as either a fileset (most appropriate if you have multiple files) or a dataset.
  3. Check that your deposit also conforms to the JOPD peer review requirements.
  4. When the software has been made public on the figshare site, it will be assigned a handle identifier. Please enter this in your JOPD software paper under Repository Location.
  5. Once your JOPD paper has passed peer review and been published, please add the reference to the description field in figshare, and add the JOPD DOI to the links also.

FORS logoLocationhttp://www2.unil.ch/fors
Focus and suitabilityFORS strongly advocates open access to social science data, both quantitative and qualitative.
CostFree
LicensesAny open license accepted.
Identifiers usedURI
SustainabilityFORS is financed by the Federal Government (State Secretariat for Education and Research, SBF), by contributions from the Swiss National Science Foundation (SNSF) and by the University of Lausanne.
Deposit instructionsDepositing data associated with a JOPD data paper with the FORS is currently a manual process:
  1. Deposit your data with the FORS (guidelines)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the FORS site, it will be assigned a URI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the FORS record.

Gesis logoLocationhttp://www.gesis.org
Focus and suitabilityGESIS archives machine-readable datasets from all areas of social science, if the study permits conclusions about the German population or parts thereof, was conducted by German researchers, regardless of whether or not the survey in fact refers to Germany, and could be of general interest to users with a social science background.
CostFree
LicensesAny open license permitted
Identifiers usedDOI
SustainabilityGESIS – Leibniz Institute for the Social Sciences is federally funded and legally registered as a non-profit association.
Deposit instructionsDepositing data associated with a JOPD data paper with the Gesis is currently a manual process:
  1. Deposit your data with Gesis (information)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the Gesis site, it will be assigned a DOI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the Gesis record.

Odum logoLocationhttp://www.irss.unc.edu/
Focus and suitabilityThe Odum Institute maintains one of the oldest and largest archives of machine-readable data in the U.S. Its Louis Harris Data Center is the exclusive national repository for Louis Harris public opinion data. The Institute has an extensive collection of U.S. Census data, including one of the most complete holdings for 1970 Census files. Other major sources of data include the North Carolina State Data Center, which distributes North Carolina census data; and the National Center for Health Statistics. It houses the National Network of State Polls archive, recognized as the largest available collection of state-level surveys. Also, data from studies conducted by UNC-Chapel Hill social science faculty are available. These data collections include national and international economic, electoral, demographic, financial, health, public opinion and other types of data to meet a variety of research and teaching needs.
CostFree
LicensesAny open license permitted
Identifiers usedHandle
SustainabilityThe Odum Institute is part of the University of North Carolina at Chapel Hill.
Deposit instructionsDepositing data associated with a JOPD data paper with the ODUM is currently a manual process:
  1. Deposit your data with Odum (information)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the Odum site, it will be assigned a DOI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the Odum record.

OpenfMRI logoLocationhttps://openfmri.org/
Focus and suitabilityhttps://openfmri.org is a project dedicated to the free and open sharing of functional magnetic resonance imaging (fMRI) datasets, including raw data.
CostFree
LicensesPDDL
Identifiers usedAccession number
SustainabilityThe data are hosted at the Texas Advanced Computing Center (http://www.tacc.utexas.edu/) which has committed to the long-term sustainability of the repository. The data are maintained on a replicated filesystem for disaster recovery.
Deposit instructions
  1. Contact Russ Poldrack (poldrack@gmail.com) directly regarding data submission. Data should be formatted according to the data organization schema available at https://openfmri.org/content/data-organization
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the OpenfMRI site, it will be assigned an accession number. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the OpenfMRI record.

snd logoLocationhttp://snd.gu.se
Focus and suitability The Swedish National Data Service (SND) is a service organization for Swedish research within the humanities, social sciences, and health sciences. SND helps enable Swedish and international researchers gain access to existing digital data within and outside of Sweden.
CostFree
LicensesDetermined by submitter: CC0 and CC-BY accepted.
Identifiers usedDOI
SustainabilitySND is funded by the Swedish Research Council as a national center located at University of Gothenburg, and an important part of Sweden’s research infrastructure.
Deposit instructions

To deposit data associated with a JOPD paper in SND please follow these steps:

  1. Visit the following link: http://snd.gu.se/en/deposit-data/webform
  2. Upload your data using the web form and input relevant metadata.
  3. Check that your deposit also conforms to the JOPD peer review requirements.
  4. You will receive a confirmation e-mail, and will then be contacted by SND staff about possible metadata and documentation issues.
  5. Once your JOPD paper has passed peer review and been published, please add the DOI and citation to the SND metadata.

TARKI logoLocationhttp://www.tarki.hu
Focus and suitabilityThe mission of TARKI is to provide infrastructure service, and support for all stakeholders in social research in Hungary.
CostFree
LicensesAny open license permitted
Identifiers usedDOI
SustainabilityTÁRKI JRC - its Hungarian legal name is Társadalomkutatási Informatikai Egyesülés - is a private, not-for-profit association of various academic and educational institutions. It operates TÁRKI Data Archive, the national digital social research archive for Hungary.
Deposit instructionsDepositing data associated with a JOPD data paper with the TÁRKI is currently a manual process:
  1. Deposit your data with TÁRKI (information)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the TÁRKI site, it will be assigned a DOI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the TÁRKI record.

discovery logoLocationhttp://eprints.ucl.ac.uk/
Focus and suitabilityUCL Discovery showcases UCL's research outputs, giving access to journal articles, book chapters, conference proceedings, digital web resources, theses, datasets, software and much more, from all UCL disciplines. The repository also enables UCL researchers to comply with research funder policies on open access.
CostFree to UCL researchers.
LicensesAll open licences permitted
Identifiers usedDOI
SustainabilityUCL Discovery is maintained by UCL, a major international research institution ranked seventh in the world's top ten universities by the QS World University Rankings (2011).
Deposit instructionsDepositing data associated with a JOPD data paper in UCL Discovery is currently done manually:
  1. Log in to the UCL RPS system.
  2. Follow the general guide to depositing, with the following modifications:
  3. Expand the publications window so that it includes software, and click 'Add new'.
  4. If your software consists of more than one file, please compress these into one zip file and upload this.
  5. Place your licence information in the Notes section. Example text: "This software is licensed under a GNU General Public License (GPL)."
  6. Check that your deposit also conforms to the JOPD peer review requirements.
  7. When your software has been made public on the UCL discovery site, notify the JOPD editor and you will receive a DOI. Please enter this in the DOI field.
  8. Once your JOPD paper has passed peer review and been published, please enter the reference for it into the Notes section in UCL Discovery (e.g. 'This software is described in the following software paper: …').

ads logoLocationhttp://www.data-archive.ac.uk
Focus and suitabilityThe UK Data Archive is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom.
CostFree (details)
LicensesAny appropriate license accepted including CC0, Open Data Commons Licence, Open Government Licence (details).
Identifiers usedDOI
SustainabilityThe UKDA's organisation and activities are funded by the ESRC, the JISC and the University of Essex.
Deposit instructionsDepositing data associated with a JOPD data paper with the UKDA is currently a manual process:
  1. Deposit your data with the UKDA (instructions)
  2. Check that your deposit also conforms to the JOPD peer review requirements.
  3. When the data has been made public on the UKDA site, it will be assigned a DOI. Please enter this in your JOPD paper under Repository Location.
  4. Once your JOPD paper has passed peer review and been published, please add the full reference for the paper (including the DOI) to the UKDA record.

zenodo logoLocationhttps://zenodo.org/
Focus and suitability ZENODO welcomes all research outputs from all fields of science in any format and size. ZENODO is furthermore integrated into reporting lines for research funded by the European Commission via OpenAIRE. Ubiquity Press therefore recoommends this repository for data funded by the European Commission.
CostFree
LicensesAny appropriate license accepted including CC0, Open Data Commons Licence, Open Government Licence.
Identifiers usedDOI
SustainabilityZENODO is developed and operated by CERN under the EU-funded OpenAIREplus project in synergy with other large services running on the same software such as CERN Document Server and INSPIRE-HEP. All uploads are stored in the same cloud infrastructure as research data from CERN's Large Hadron Collider. The entire platform is further more fully open - metadata is licensed under CC0, it's source code is licensed under GNU GPL and ZENODO furthermore allows harvesting of the entire repository by external sources.
Deposit instructions

To deposit data associated with a JOPD paper in ZENODO please follow these steps:

  1. Create an account with ZENODO.
  2. Upload your data and edit metadata such as title, description, authors.
  3. Check that your deposit also conforms to the JOPD peer review requirements.
  4. The data will go public immediately after submission and is instantly assigned a Digital Object Identifier. Please enter this in your JOPD paper under Repository Location.
  5. Once your JOPD paper has passed peer review and been published, please add the DOI and citation to the ZENODO Related Identifiers field.

 

FAQ

What kinds of data can I publish?

All kinds of data are welcome. We are particularly interested in data that may have reuse potential or which is required to validate your research. Many research outputs meet these requirements. For example:

  • case study data
  • computer simulation data
  • experimental data
  • interview and survey data
  • neuroimaging data
  • etc.

What is a data paper?

A data paper is a publication that is designed to make other researchers aware of data that is of potential use to them. As such it describes the methods used to create the dataset, its structure, its reuse potential, and a link to its location in a repository. It is important to note that a data paper does not replace a research article, but rather complements it. When mentioning the data behind a study, a research paper should reference the data paper for further details. The data paper similarly should contain references to any research papers associated with the dataset.

How do I submit a data paper?

Please see our ‘how to submit a data paper’ page.

How does JOPD peer review work?

Please see our overview of the peer review process.

Which open license should I apply to my data?

We recommend the following licenses for open data:

All of the above licenses carry an obligation for anyone using the data to properly attribute it. The main differences are whether this is a social requirement (CC0 and PDDL) or a legal one (CC-By and ODC-By). The less restrictive your license, the greater the potential for reuse.

We do not recommend licenses that impose commercial or other restrictions on the use of data. Generally, such licenses can prevent use of data by charities and the media, and make the remixing of data from various international sources legally problematic. At the same time, why impose commercial restrictions on publicly funded data, such that the public themselves are not able to build profitable or sustainable solutions that utilise it? There are of course some situations in which data must have a more restrictive license (e.g. funder requirements), and the editorial team will consider these on a case-by-case basis.

Which repositories do you recommend for psychology data?

Please see our list of recommended repositories for examples. Other repositories may be acceptable, provided they meet the criteria below. Please contact us if you would like to discuss adding a new repository to the recommended list.

What are the criteria for a repository to be accepted?

Data must be made available via a suitable repository. To meet our acceptance criteria, repositories must:

  • be suitable for the type of data involved
  • be sustainable (i.e. it must have funding and plans in place to ensure the long-term preservation of the data)
  • allow open licences
  • provide persistent identifiers (e.g. DOI, handle, ARC etc.)

What does ‘open’ mean?

The term ‘open’ in this context is well described by the Open Knowledge Foundation: “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share-alike.”

What are the benefits of publishing data?

Allowing others to reuse your data leads to more efficient science, as well as new kinds of studies previously not possible that involve the combination of multiple data sources. At the same time open data can be reused by the wider public for a range of purposes including teaching, journalism and citizen science projects. These and other benefits are summarised in the diagram on our about page.

Making research outputs available for others to work with and build upon is part of the social contract of academia. Data papers mean that data you have released can be cited and that those citations can be tracked. This is not only an indirect measure of impact and therefore important for career progression, but it can also help you understand who is using the data, and lead to new collaborations.

Do I have to make my data open?

It is difficult to argue that the results of publicly funded research should not be made publicly available, and many funding bodies are increasing the degree to which they encourage open archiving. We believe that the benefits listed above are already a strong incentive to publish data openly, but there are some occasions (e.g. source material copyright issues, subject privacy concerns) where it may not be possible.

JOPD will however only publish data papers for datasets archived with open licenses. Datasets that need to be partially redacted for legal reasons will be considered by the editorial team on a case by case basis.

How do I cite data?

If you use data from a repository that has been released under an open license then you are obliged to cite it (even under a CC0 license). By citing the data paper you also reward the author for sharing their data, as these citations can be tracked as for any scholarly paper (unfortunately there is no system for tracking the data citations themselves yet, which is another reason that a data paper is so useful). You should therefore include a reference to the data paper describing the data, followed by a reference to the data in the repository itself. In order for this to work it is essential that the citations are in the references section of the article and include the DOIs (or any other identifier the repository might use), e.g.:

References

Bevan, A. and Conolly, J. (2012) Intensive Survey Data from Antikythera, Greece. Journal of Open Archaeology Data 1(1), DOI: http://dx.doi.org/10.5334/4f3bcb3f7f21d

Bevan, A. and Conolly, J. (2012) The Antikythera Survey Project [data-set]. York: Archaeology Data Service [distributor] (http://dx.doi.org/10.5284/1012484)

Do I have to pay to publish in this journal?

If your paper is accepted for publication, you will be asked to pay an Article Publication Charge (APC) of £25/€30/$40 to cover publications costs. This fee can normally be sourced from your funder or institution, and we recommend approaching them about this at the time of submission.

You will be able to pay any amount from nothing to full charge, as we recognise that not all authors have access to funding, and we do not want fees to prevent the publication of worthy work. The editor and peer reviewers of the journal will not know what amount (if any) you have paid, and this will in no way influence whether your article is published or not.

 

Publication Ethics

Ubiquity Press, the journal’s publisher, is a member of the Committee on Publication Ethics (COPE), the Open Access Scholarly Publishers Association (OASPA), and the Association of Learned and Professional Society Publishers (ALPSP). The Press recognises its responsibility as a guardian of the scholarly record and takes an active role in establishing standards and policies in publication ethics.

The Editors of Journal of Open Psychology Data have committed to maintaining high editorial standards through rigorous peer review and strict ethical policies. The Editors follow the COPE code of conduct and refer to COPE for guidance as appropriate. The journal and the publisher ensure that advertising and commercial interests do not impact or influence editorial decisions.

 

Advertisement Policy

The journal only displays advertisements that are of relevance to its scope and will be of interest to the readership (e.g. upcoming conferences). All advertising space is provided free of charge and the editor and publisher have the right to decline or withdraw adverts at any point.

If you wish to propose a potential advert then please contact the editorial team. All adverts are displayed in the right column of the journal and will need to fit a 120 pixel wide space. All advert images will have to be provided to the publisher.

ISSN: 2050-9863 | Published by Ubiquity Press | Creative Commons License This work is licensed under a Creative Commons License.