# For Journals
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**Publishing your authors’ research data in the Harvard Dataverse Repository increases your journal’s impact by:**
- Preserving data and making it citable, following best practices that improve “the robustness and reproducibility of science” ([Cousijn et al., 2017](https://doi.org/10.1101/100784); [Fenner et al., 2016](https://doi.org/10.1101/097196))
- Helping authors meet funders’ data sharing mandates
- Increasing the credit authors receive for the reuse of their data. ([Data Citation Synthesis Group, 2014](https://www.force11.org/group/joint-declaration-data-citation-principles-final))
We recommend four ways your journal can use the Harvard Dataverse Repository:
- [Set up a journal Dataverse Collection](https:/support.dataverse.harvard.edu/#setup)
- [Set up a journal Dataverse Collection with data curation & verification](#curationservice)
- [Integrate your journal's manuscript submission system with the Harvard Dataverse Repository](#integration)
- [Recommend the Harvard Dataverse Repository to authors](#recommend)
*Please note that the Harvard Dataverse Repository is a data sharing repository. If your journal is seeking an indexing service for distributing research articles, we recommend the* [Social Science Sharing Network](https://www.ssrn.com/)*. We reserve the right to remove files, datasets, and Dataverse Collections that do not contain research data.*
## Set up a journal Dataverse Collection
Within the Harvard Dataverse Repository, your journal can create and customize its own space, called a Dataverse Collection, making it easier to review, publish and track metrics for your authors' data. You can use your Dataverse Collection to incorporate data publishing into common article publishing workflows:
- When an article is accepted for publication, authors can be instructed to submit their data to your Dataverse Collection.
- Once an author submits a dataset, the Harvard Dataverse Repository sends a journal editor an email notification to review and publish the dataset.
You can also embed your Dataverse Collection on your journal's website, so visitors can search for and download datasets related to published articles without leaving the site.
For examples of Dataverse Collections that journals have created to publish data, visit [Political Analysis' Dataverse Collection](https://dataverse.harvard.edu/dataverse/pan) and the [Quarterly Journal of Economics' Dataverse Collection](https://dataverse.harvard.edu/dataverse/qje).
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### How to set up your journal’s Dataverse Collection expand\_more
- [Review the Harvard Dataverse Repository's General Terms](https://dataverse.org/best-practices/harvard-dataverse-general-terms-use)
- Dataverse is a data sharing platform. If your journal is seeking a service to index research articles, we recommend the [Social Science Sharing Network](https://www.ssrn.com/). The Harvard Dataverse Repository reserves the right to remove files and Dataverse Collections that do not contain research data.
- Sharing of sensitive research data (such as data with personally identifiable information) is not yet supported.
- Create an account or login to an existing account. See [the Account Creation + Management section of the User Guides](https://guides.dataverse.org/en/latest/user/account.html) for more information about creating and logging into an account. If multiple journal staff members will be working in the journal's Dataverse Collection, we recommend that each member uses an account under her or his own name so that it's easier to tell who makes changes to each dataset version.
- Create and customize your Dataverse Collection using the options in the Edit dropdown menu (see the [Dataverse Collection Management](http://guides.dataverse.org/en/latest/user/dataverse-management.html) and [Dataset + File Management](http://guides.dataverse.org/en/latest/user/dataset-management.html) sections of the User Guide), including:
- General Information: Describe your Dataverse Collection, specify how your authors will need to describe the research data they are depositing (that is, which metadata fields they'll see and need to fill), and how visitors can search for data in your Dataverse Collection (such as which facets people can use to narrow search results). We recommend choosing the Journal Metadata field and any additional discipline-specific metadata fields.
- Permissions: Use these options to control who is able to submit data to your Dataverse Collection and whether or not your editors will have to approve submitted data before it is published on your Dataverse Collection.
- More “Edit” options: Consider configuring your Dataverse Collection using the remaining Edit options, which can help streamline the process of reviewing and uploading data, and can improve discoverability:
- Using themes and widgets, you can customize the look of your dataverse and display it on your journals' website, so readers can access your authors’ data without leaving your journal’s website
- Private URLs streamline the review process by making it easy for others to access unpublished datasets without creating an account on the Harvard Dataverse Repository
- Dataset metadata templates are useful for creating multiple datasets with the same metadata
- Revise editor and reviewer training material and author instructions for uploading and citing data. Here are some helpful guides:
- Pre-submission guidelines from "A Data Citation Roadmap for Scientific Publishers" ([Cousijn et al., 2017](https://doi.org/10.1101/100784))
- [Template of instructions that journals can give to authors about submitting datasets for review](https://docs.google.com/document/d/1mxdz0yMx3_598r5W_FW4Bjse4dpbeYtu8USTi4_qbEU/edit)
## Set up a journal Dataverse collection with data curation & verification
To ensure that datasets associated with your articles are replicable, you can set up a Dataverse Collection and have a third party curate and verify the reproducbility of datasets that authors deposit. The [UNC Odum Institute](http://odum.unc.edu/archive/managementcuration/) offers this service. Contact the Odum Archive ([odumarchive@unc.edu](mailto:///odumarchive@unc.edu)) for more information.
The Harvard Dataverse Repository also offers curation services. [Visit the curation services page](/curation-services) to learn more.
## Integrate your journal's manuscript submission system with the Harvard Dataverse Repository
When a manuscript submission system is integrated with the Harvard Dataverse Repository, your authors can submit their manuscripts and research data at the same time, from the same platform, automatically creating persistent, bi-directional links between articles and their underlying data.
- For journals that have data associated with their articles, any journal using the most common versions of [Open Journal Systems (OJS)](https://pkp.sfu.ca/ojs/) can use OJS's [Dataverse Software Plugin](https://projects.iq.harvard.edu/ojs-dvn/book/project-documentation) to upload data to the Harvard Dataverse Repository through the OJS platform.
- Other publishers and journal publishing systems interested in letting authors submit associated data through their systems should [contact us](https://support.dataverse.harvard.edu/support) to discuss options.
## Recommend the Harvard Dataverse Repository to authors
Instead of managing a Dataverse Collection and organizing authors' data within it, you can encourage your authors to publish their data on the Harvard Dataverse Repository and ask them to give you the dataset's "[Preview URL](https://guides.dataverse.org/en/6.8/user/dataset-management.html#preview-url-to-review-unpublished-dataset)" before the dataset is published or the dataset's DOI after the dataset is published.
Examples of journals and publishers recommending the Harvard Dataverse Repository for publishing data include PLOS, [Nature Scientific Data](http://www.nature.com/sdata/data-policies/repositories), [Elsevier](https://www.elsevier.com/books-and-journals/content-innovation/data-base-linking/supported-data-repositories), and [American Heart Association Publications](https://professional.heart.org/professional/ResearchPrograms/UCM_461443_AHA-Approved-Data-Repositories.jsp).