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 xsi:schemaLocation="urn:ISO:std:iso:17469:tech:xsd:PerformancePlanOrReport http://stratml.us/references/PerformancePlanOrReport20160216.xsd" Type="Strategic_Plan"><Name>About the Dataverse Project</Name><Description>The Dataverse Project is an open source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others' work more easily. Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility.
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A Dataverse repository is the software installation, which then hosts multiple virtual archives called Dataverse collections. Each Dataverse collection contains datasets, and each dataset contains descriptive metadata and data files (including documentation and code that accompany the data). As an organizing method, Dataverse collections may also contain other Dataverse collections.</Description><OtherInformation>The central insight behind the Dataverse Project is to automate much of the job of the professional archivist, and to provide services for and to distribute credit to the data creator. Before the Dataverse Project, researchers were forced to choose between receiving credit for their data, by controlling distribution themselves but without long term preservation guarantees, or having long term preservation guarantees, by sending it to a professional archive but without receiving much credit. The Dataverse Project breaks this bad choice: we put a Dataverse collection (a virtual archive) on your website that has your website's look, feel, branding, and URL, along with an academic citation for the data that gives you full credit and web visibility. Yet, that page of your website is served up by a Dataverse repository, with institutional backing, and long term preservation guarantees.</OtherInformation><StrategicPlanCore><Organization><Name>Dataverse Project</Name><Acronym>DTVRS</Acronym><Identifier>_3ec4e31a-f72c-11ed-a561-8ca01883ea00</Identifier><Description>See Gary King. 2007. "An Introduction to the Dataverse Network as an Infrastructure for Data Sharing." Sociological Methods and Research, 36, Pp. 173-199. Please use this paper to cite the Dataverse Project.
https://gking.harvard.edu/files/abs/dvn-abs.shtml</Description><Stakeholder StakeholderTypeType="Generic_Group"><Name>Dataverse Project Team</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Gary King</Name><Description>Founder and Principal Investigator ~ Gary King is the Weatherhead University Professor at Harvard University. He also serves as Director of the Institute for Quantitative Social Science. He and his research group develop and apply empirical methods in many areas of social science research.</Description></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>Dataverse Project Development Team</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Leonid Andreev</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Gustavo Durand</Name><Description>Technical Lead and Architect</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Philip Durbin</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Stephen Kraffmiller</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Bob Treacy</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Len Wisniewski</Name><Description>Director of Engineering</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Kevin Condon</Name><Description>QA and Technical Support</Description></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>Dataverse Project Curation &amp; Archival Team</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Sonia Barbosa</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Dwayne Liburd</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Julian Gautier</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Katie Mika</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ella Michelle King</Name><Description>The Name ~ Special thanks to Ella Michelle King, who won the contest to name our project ...</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Pitney Bowes</Name><Description>Special thanks to ... Pitney Bowes and The Forbin Group, Inc. for trademark assistance.</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>The Forbin Group, Inc.</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Institute for Quantitative Social Science</Name><Description>The History ~ The Dataverse Project is being developed at Harvard's Institute for Quantitative Social Science (IQSS), along with many collaborators and contributors worldwide. The Dataverse Project was built on our experience with our earlier Virtual Data Center (VDC) project, which spanned 1997-2006 as a collaboration between the Harvard-MIT Data Center (now part of IQSS) and the Harvard University Library. Precursors to the VDC date to 1987, comprising such entities as pre-web software to automatically transfer cataloging information by FTP to other sites across campus automatically at designated times, and before that to a stand-alone software guide to local data.</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Harvard University Library</Name><Description>The Collaboration ~ The Institute for Quantitative Social Science (IQSS) collaborates with the Harvard University Library and Harvard University Information Technology organization to make the installation of the Harvard Dataverse Repository openly available to researchers and data collectors worldwide from all disciplines, to deposit data.</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Open Data Assistance Program</Name><Description>IQSS leads the development of the open source Dataverse Project software and, with the Open Data Assistance Program at Harvard (a collaboration with Harvard Library, the Office for Scholarly Communication and IQSS), provides user support.</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Harvard University Information Technology</Name><Description>The Library Technology Services at HUIT provides hosting and backups support of the Harvard Dataverse Repository.</Description></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>Dataverse Project Funders</Name><Description>The Funding ~ Funded by Harvard with additional support from the Alfred P. Sloan Foundation, National Science Foundation, National Institutes of Health, Helmsley Charitable Trust, IQSS's Henry A. Murray Research Archive, and many others.</Description></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Harvard University</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Alfred P. Sloan Foundation</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>National Science Foundation</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>National Institutes of Health</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Helmsley Charitable Trust</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>IQSS's Henry A. Murray Research Archive</Name><Description/></Stakeholder></Organization><Vision><Description>Archival automated, credit to data creators</Description><Identifier>_3ec4e400-f72c-11ed-a561-8ca01883ea00</Identifier></Vision><Mission><Description>To share, preserve, cite, explore, and analyze research data</Description><Identifier>_3ec4e4b4-f72c-11ed-a561-8ca01883ea00</Identifier></Mission><Value><Name>Research</Name><Description/></Value><Value><Name>Data</Name><Description/></Value><Value><Name>Preservation</Name><Description/></Value><Value><Name>Personal Credit</Name><Description/></Value><Goal><Name>Adoption</Name><Description>Increase adoption (users, Dataverse repositories, Dataverse collections, datasets, journals)</Description><Identifier>_3ec4e59a-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>1</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4e63a-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Sensitivity, Scale &amp; Streaming</Name><Description>Develop capability to handle Level 3 sensitive, large scale, and streaming data</Description><Identifier>_3ec4e6da-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>2</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4e77a-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Disciplines &amp; Features</Name><Description>Expand data and metadata features for existing and new disciplines</Description><Identifier>_3ec4e81a-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>3</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4e8ba-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Archival &amp; Preservation</Name><Description>Expand archival and preservation features</Description><Identifier>_3ec4e964-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>4</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4ea04-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Contributions</Name><Description>Increase contributions from the open-source development community</Description><Identifier>_3ec4eaae-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>5</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name>Open-Source Development Community</Name><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4eb4e-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>UX &amp; UI</Name><Description>Improve UX and UI</Description><Identifier>_3ec4ebf8-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>6</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4eca2-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Software</Name><Description>Continue to increase the quality of the software</Description><Identifier>_3ec4ed4c-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator>7</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_3ec4edf6-f72c-11ed-a561-8ca01883ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal></StrategicPlanCore><AdministrativeInformation><StartDate/><EndDate/><PublicationDate>2023-05-20</PublicationDate><Source>https://dataverse.org/about</Source><Submitter><GivenName>Owen</GivenName><Surname>Ambur</Surname><PhoneNumber/><EmailAddress>Owen.Ambur@verizon.net</EmailAddress></Submitter></AdministrativeInformation></PerformancePlanOrReport>