Privacy Tools for Sharing Research Data 
Harvard-based, collaborative effort between the Center for Research on Computation and Society, the Institute for Quantitative Social Science, the Berkman Center for Internet & Society, and the Data Privacy Lab. This project will define and measure privacy in both mathematical and legal terms, and explore alternate definitions of privacy that may be more general or more practical. The research will provide a better understanding of the practical performance and usability of a variety of algorithms for analyzing and sharing privacy-sensitive data. The project will develop secure implementations of these algorithms and legal instruments, which will be made publicly available and used to enable wider access to privacy-sensitive data sets at the Harvard Dataverse Network.

PKP-Dataverse Integration Project
The Dataverse Network in collaboration with the Public Knowledge Project (PKP) are currently working on a two-year project to make data sharing and preservation an intrinsic part of the publication process. Funded by a $1 million Alfred P. Sloan Foundation grant, the plan is to integrate PKP's Open Journal Systems (OJS) with the Dataverse Network web application. This collaboration will culminate in the development of an OJS plugin that will allow authors to deposit data sets and other supplementary files to the Dataverse Network via a Data Deposit API (SWORDv2-compliant) at the same time as they submit an article in OJS. 

DataBridge (UNC-ODUM, iRODS, REACHNC, North Carolina A&T)
The DataBridge is a new e-Science collaboration environment tool being designed and developed to make long tail data something greater than the sum of its parts. The DataBridge will exploit a rich set of sociometric network analysis (SNA) and relevance algorithms to define different types of semantic bridges that link diverse datasets. DataBridge will integrate with the Dataverse Network to enable discovery of relevant datasets and methods by computing metrics in multiple spaces of relevancy – different ways data can be related to each other – by metadata and ontology, by pattern analysis and feature extraction, through usage tools and models, and via human connections. 

MIND Informatics
MIND Informatics (Neurology Department, Massachusetts General Hospital) is collaborating with Dataverse, the ISA-Tab project at the University of Oxford and PLoS Computational Biology to develop domain specific metadata for biomedical experiments in Dataverse.

Seamless Astronomy & Harvard-Smithsonian Center for Astrophysics (CfA)
The CfA Dataverses play an important role in fulfilling Data Management Plan requirements (e.g. as mandated by NSF), and for providing data re-use and citation opportunities. Additionally, this team works on connecting the CfA Dataverses to the indexing services provided by the SAO/NASA Astrophysical Data Service (ADS)Find out more about our team by exploring the Seamless Astronomy and Wolbach Library teams at the CfA. 

The Data Preservation Alliance for the Social Sciences (Data-PASS) 
A voluntary partnership of organizations created to archive, catalog and preserve data used for social science research. Our Data-PASS partners include The Odum Institute, ICPSR, NARA, Roper, and UCLA. Replicas of social science data from the Dataverse Network and the other partners are held by independent archives as part of the Data-PASS archival partnership, regularly updated, and regularly validated, using the LOCKSS system.

Population Services International (PSI)
PSI Research & Metrics adopted the Dataverse Network to archive and share research outputs. PSI is a global health organization dedicated to improving the health of people in the developing world by focusing on serious challenges like a lack of family planning, HIV and AIDS, barriers to maternal health, and the greatest threats to children under five, including malaria, diarrhea, pneumonia and malnutrition. For more information visit the PSI Dataverses.

The SafeArchive system is an open-source system for TRAC auditing and policy-based automatic management of LOCKSS replication networks. With SafeArchive you can: Analyze any LOCKSS network; check that collections are replicated, valid, and up-to-date; create formal replication policies; audit the network for current and historical TRAC compliance; replicate content archived in the Dataverse Network easily.

The Stanford Center for the Study of Poverty and Inequality (Stanford CPI)
Stanford CPI works with the Dataverse Network to build time series data visualizations. The California Welfare Laboratory Dataverse is one example of this collaboration.