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.
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.
Authors of articles published in Journal of Open Psychology Data remain the copyright holders and grant third parties the right to use, reproduce and share the article according to the Creative Commons license agreement.
Authors are encouraged to publish their data in recommended repositories. For a list of generic and subject specific repositories that meet our peer review criteria, see here.
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, European Reference Index for Humanities and Social Sciences, Cengage Learning and Google Scholar. In addition, all journals are available for harvesting via OAI-PMH.
If Journal of Open Psychology Data is not indexed by your preferred service, please let us know by emailing firstname.lastname@example.org or alternatively by making an indexing request directly with the service.
Recommended RepositoriesThe 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 repositories||National repositories||Institutional repositories|
Odum (United States)
|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.|
|Cost||Free for all JOPD authors.|
|Sustainability||The Dataverse Network is an open-source application funded by Harvard University.|
Depositing data into the Dataverse is currently done manually:
|Focus and suitability||DANS (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.|
|Licenses||JOPD 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.|
|Sustainability||DANS 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 instructions||Depositing data associated with a JOPD data paper in the DANS data archive is currently done manually:|
|Focus and suitability||Dryad is an international repository of data underlying peer-reviewed articles in the basic and applied biosciences.|
|Cost||ca. USD 75 (tbc)|
|Sustainability||Dryad 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.|
Depositing data associated with a JOPD data paper in Dryad is currently a manual process:
|Focus and suitability||Figshare takes software from all subject areas, and is suitable for small to medium sized projects that do not require specialised curation.|
|Cost||Free. "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."|
|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 instructions||To deposit software associated with a JOPD software paper in figshare, please follow these steps:|
|Focus and suitability||FORS strongly advocates open access to social science data, both quantitative and qualitative.|
|Licenses||Any open license accepted.|
|Sustainability||FORS 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 instructions||Depositing data associated with a JOPD data paper with the FORS is currently a manual process:|
|Focus and suitability||GESIS 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.|
|Licenses||Any open license permitted|
|Sustainability||GESIS – Leibniz Institute for the Social Sciences is federally funded and legally registered as a non-profit association.|
|Deposit instructions||Depositing data associated with a JOPD data paper with the Gesis is currently a manual process:|
|Focus and suitability||The 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.|
|Licenses||Any open license permitted|
|Sustainability||The Odum Institute is part of the University of North Carolina at Chapel Hill.|
|Deposit instructions||Depositing data associated with a JOPD data paper with the ODUM is currently a manual process:|
|Focus and suitability||https://openfmri.org is a project dedicated to the free and open sharing of functional magnetic resonance imaging (fMRI) datasets, including raw data.|
|Identifiers used||Accession number|
|Sustainability||The 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.|
|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.|
|Licenses||Determined by submitter: CC0 and CC-BY accepted.|
|Sustainability||SND 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.|
To deposit data associated with a JOPD paper in SND please follow these steps:
|Focus and suitability||The Open Science Framework (OSF) aims to support the entire research workflow, across all scientific disciplines. The range of support includes project planning, data collection, data analysis, sharing, publication, and deposit of final data and materials.|
|Licenses||Any open license permitted|
|Identifiers used||OSF GUIDs, DOIs, ARKs|
|Sustainability||Data stored on the OSF is backed by a $250,000 preservation fund that will provide for persistence of your data, even if the Center for Open Science runs out of funding. The code base for the OSF is entirely open source, which enables other groups to continue maintaining and expanding it if we aren’t able to.|
|Deposit instructions||Users go to http://osf.io, create an account, create a project, and can then begin depositing data and materials.|
|Focus and suitability||UCL 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.|
|Cost||Free to UCL researchers.|
|Licenses||All open licences permitted|
|Sustainability||UCL 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 instructions||Depositing data associated with a JOPD data paper in UCL Discovery is currently done manually:|
|Focus and suitability||The UK Data Archive is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom.|
|Licenses||Any appropriate license accepted including CC0, Open Data Commons Licence, Open Government Licence (details).|
|Sustainability||The UKDA's organisation and activities are funded by the ESRC, the JISC and the University of Essex.|
|Deposit instructions||Depositing data associated with a JOPD data paper with the UKDA is currently a manual process:|
|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.|
|Licenses||Any appropriate license accepted including CC0, Open Data Commons Licence, Open Government Licence.|
|Sustainability||ZENODO 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.|
To deposit data associated with a JOPD paper in ZENODO please follow these steps:
- What kinds of data can I publish?
- What is a data paper?
- How do I submit a data paper?
- How does JOPD peer review work?
- Which open license should I apply to my data?
- Which repositories do you recommend for psychology data?
- What are the criteria for a repository to be accepted?
- What does ‘open’ mean?
- What are the benefits of openly publishing data?
- Do I have to make my data open?
- How do I cite data?
- Do I have to pay to publish in this journal?
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
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.
Please see our ‘how to submit a data paper’ page.
Please see our overview of the peer review process.
We recommend the following licenses for open data:
- Creative Commons Zero (CC0)
- ODC Public Domain Dedication and License (PDDL)
- Creative Commons Attribution (CC-By)
- ODC Attribution (ODC-By)
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.
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.
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.)
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.”
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.
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.
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.:
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)
If your paper is accepted for publication, you will be asked to pay an Article Publication Charge (APC) of £350 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.
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.
The journal uses anti-plagiarism software to ensure academic integrity.
Annotation and post-publication comment
The journal platform permits readers to leave comments on the publication page, via the Disqus service. Readers will need a Disqus account to leave comments. Comments may be moderated by the journal, however, if they are non-offensive and relevant to the publication subject, comments will remain online without edit.
The journal platform also includes in-browser annotation and text highlighting options on full text formats via hypothes.is. Readers will require a hypothes.is account to create annotations, and will have the option to make these publicly available, available to a group, or private.