Publishers | Recommendations
1. Gradually develop mandatory policies for open access to research data supporting publications
Editorial policies should address issues like documentation, metadata and format of published data, licensing, and citation. Editorial policies should be enhanced further through data availability statements provided both during the article submission process and the peer-review process. Policies should provision measures in cases of non-compliance brought to light after publication (such as retracting the published article).
2. Collaborate with certified repositories and data centers to streamline data submission
Publishers are encouraged to collaborate with repositories and data centers that meet accepted criteria regarding their trustworthiness. For disciplines without community endorsed data centers/repositories, publishers can assist researchers by providing guidance and assistance on appropriate institutional repositories or commercial data services may be designated for deposit and access.
3. Support data as a first-class scholarly output through the establishment of peer-review processes
Establishing peer-review processes for research data is a measure that contributes to the further enhancement of products of high quality. Peer-review processes should specify the criteria used relating to the technical aspects and quality of research data (completeness and consistency of dataset, appropriate standards, software used), while their scientific quality is assessed by the research community through pre- and post-publication peer-review.
4. Develop policies requiring citations for research data
Publishers should require that data accompanying their publications are citeable, and provide clear guidelines for data citation. Data citation should include DOIs, as well as licensing information (e.g. Creative Commons licenses), preferably machine actionable, that informs users about what they are able to do with research data.
5. Establish licensing policies that encourage the use of TDM
Editorial policies should clearly state the licenses (default and recommended) under which the data are published and re-used. Taking into consideration the significant economic benefits that can be derived from the use of TDM tools publishers are encouraged to adapt their policies to allow for an increases use of such techniques in research.
The PLOS Mandatory Policy for Open Access to Research Data
PLOS instituted a mandatory open access policy for all research data supporting PLOS publications with rare exceptions. Researcher compliance with PLOS's policy is stated in the Data Availability Statement submitted by the author simultaneously with the submission of the manuscript, and published as part of the final article in cases of successful submissions. Authors are required to deposit their data in recommended certified data centers and repositories. Small data sets can be uploaded data with manuscripts. PLOS' Editorial and Submission Policies provide support, guidance and assistance provided to researchers to allow them to comply with the journals' open data policy. In cases where restrictions to access are noticed following publication PLOS reserves the right to post a correction, contact the authors' institution or funders or even retract the publication.
Source: http://www.plosone.org/static/policies.action#sharing
The Geoscience Data Journal
The Geoscience Data Journal is an online journal published by Wiley. It publishes short data papers which are linked to their relevant data sets. The journal collaborates with a number of data centers and repositories, where the relevant data sets can be deposited by authors. The latter provide trusted loci to store data and link to via a DOI. Data creators attain full credit for their efforts, while also improving the scientific record by providing access to research data that is fully described, edited and discovered.
Source: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2049-6060
The Journal of Open Archaeology
The Journal of Open Archaeology (JOAD) applies a peer review process to all submitted data papers against two criteria: the paper content and the deposited data. According to the journal, the former is about providing information regarding the creation and re-use of the dataset as well as a description of the dataset, while the latter is among others about the submission of data to a repository with a sustainability mode, its licensing.
Source: http://openarchaeologydata.metajnl.com
and http://openarchaeologydata.metajnl.com/about/editorialPolicies#peerReviewProcess
The FORCE11 Data Citation Principles
To enhance the proliferation of high quality research data, contribute towards according research data due significance in the research process and encourage good practice, FORCE11 issued overarching principles for data citation. The principles work on the premise that data citations need to be both human and machine-readable. They are not comprehensive, but are rather meant to encourage communities to develop practices and tools that embody them.
The principles are: importance of data citations; data citations to facilitate credit and attribution; data citations to provide evidence for claims; data citation to include machine actionable and globally unique persistent identifier; data citations to facilitate access to the data themselves. In addition, data citations should be: persistent; facilitate identification of, access to, and verification of the specific data that support a claim; be interoperable and flexible.
Source: https://www.force11.org/datacitation
Suggestion
We recommend reading about data managers too. These include repositories such as data centres, libraries, archives and memory institutions.