Scientific Data now recommends Harvard Dataverse for all areas of Science

Beginning Monday, November 14th, the Nature Research journal Scientific Data will include Harvard Dataverse in its newly expanded list of general purpose data repositories, for researchers submitting supporting datasets from any research subject, including biology, health, physical, earth, and social sciences. Harvard Dataverse has been recommended by Scientific Data for social science data since early 2015, and this latest development increases the options for authors when sharing data and helps towards the publication of reproducible research, all while using a well-established repository with over 60,000 datasets and 2 million downloads. Users of Harvard Dataverse will not need to move their data from the repository to publish in the journal, regardless of discipline.
Scientific Data is an open access journal that aids discoverability, citation, and reuse of research data. Scientific Data’s main article type, the Data Descriptor, has been designed to provide curated descriptions of valuable data that may otherwise be under-utilized by the scientific community. Datasets archived in Harvard Dataverse can take advantage of persistent identifiers, automatically generated citations, robust metadata, and summary statistics and analysis for tabular files. Researchers depositing datasets into the Harvard Dataverse are offered tools allowing them to self-curate content deposited in the repository, with expanded curation services available in the near future. 
To learn more about the features of the Dataverse Project, visit To see what data is already available in the Harvard Dataverse, visit