By Mareike Buss

Looking for a place to publish your research data? Read about trusted data repositories that fulfill high-quality standards on information security and sustainability and support FAIR data publishing. 

Harvard Dataverse has been developed and is operated by Institute for Quantitative Social Science (IQSS) at Harvard University and allows for the publication of data in collections, so-called dataverses.

Dataverses can be personal, like Manuele Citi’s Dataverse, or they can be administrated by an organization, e.g. a journal or a research group. Researchers can use personal dataverses to publish their data and keep track of them via metrics on a personal site. They can publish data sets of up to 2.5 GB per record and 1 TB in total. Using Harvard Dataverse is freem of charge.   

CBS Library recommends using Harvard Dataverse for open data publishing only, i.e. data that other researchers can access for replication purposes or data reuse. Harvard Dataverse should not be used to publish restricted or closed data. 

FAIR data publishing
Harvard Dataverse supports FAIR data publishing as it helps you make your data Findable, Accessible, Interoperable, and Reusable. It makes data findable and citable by automatically assigning a Digital Object Identifier, a DOI, to all published data sets – and it also allows for the publication of different versions. It makes data accessible and reusable by attaching a machine-readable data license that specifies the terms of data access and re-use as defined by you. Finally, it supports data interoperability by publishing metadata that is compliant with widely recognized metadata standards. Find out more about FAIR data publishing on howtoFAIR.dk. 

Some recent examples of CBS-related data sets or reports published on Harvard Dataverse include: 

  • Nielsen, Carsten S.; Sebald, Alexander C.; Sørensen, Peter N., 2023. “Replication data for: Testing for Salience Effects in Choices Under Risk”. Harvard Dataverse, V1: https://doi.org/10.7910/DVN/P1ZZY1.   
  • DeMarzo, Peter; He, Zhiguo; Tourre, Fabrice, 2023. ”Replication Data for: Sovereign Debt Ratchets and Welfare Destruction”. Harvard Dataverse, V1: https://doi.org/10.7910/DVN/XRSOAC.  
  • Egerod, Benjamin, 2023. “Replication Data for: The Revolving Door and Regulatory Enforcement: Firm-level Evidence on Tax Rates and Tax Audits”. Harvard Dataverse, V1: https://doi.org/10.7910/DVN/AFYKUH.