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Dataverse Netowrk Project
This document provides an overview of the Dataverse Network Project, which is a repository for research data hosted at Harvard University. It allows researchers to deposit, share, and organize their data in a curated network. Key features include long-term preservation of data and metadata, access and sharing capabilities, and archiving best practices to promote data access and reproducibility. Researchers can create individual dataverses to organize their studies and deposit data through a web interface or via software installation. The network supports various file types and formats and provides data citation and version control.
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Dataverse Netowrk Project
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- 2. HARVARD UNIVERSITY ! INSTITUTE FORQUANTITATIVE SOCIAL SCIENCE
- 3. DATAVERSE NETWORK PROJECT •repository for research data that takes care of long-term preservation • employs old archival practices while allowing researchers to keep control of and receive recognition for their data
- 4. DATA MANAGEMENT • providesaccess and sharing capabilities • allows researchers to deposit data in organized, curated and citable network • promotes access and sharing
- 5. ARCHIVING • metadata isexported to XML • data files reformatted for long-term access • all versions are kept • metadata and data are replicated to multiple locations through LOCKSS ๏ Lots of Copies Keep Stuff Safe (Standford University)
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- 11. UNIQUE SERVICES • tubulardata sets ๏ files with rows and columns (SPSS, STATA, CSV) can be subset ๏ user can extract only some of the variables • social network data ๏ data that describes a network of entities and relationships ๏ sets uploaded in GraphML format to provide flexibility
- 12. Data sharing andarchiving with control and recognition for data authors Persistent Data Citations linking data to publications Customized Branding or embed on your site Support for All File Types any format Data Restrictions & terms of use options set by data author Rich data support for certain file formats SPSS, Stata, R Data metadata extraction, subset & R analysis FITS Data metadata extraction Social Network Data (GraphML) smart queries & subsetting Data Visualizations for time series Data management, standards and archival best practices General and Domain-Specific Metadata following metadata standards Data Versioning preserve & cite previous versions Traffic & Downloads Tracking for your data with Guestbook Permanent Storage preservation format; copies in multiple locations Harvard Dataverse Network Features Learn more at: thedata.org or start searching and uploading at thedata.harvard.edu Coming soon in Dataverse 4.0: • Redesign of the entire user interface • Dataverses can contain other dataverses • Simplified workflows for creating an account, a dataverse, and datasets as well as uploading files • Terminology changes: • Study now called Dataset • Cataloging Information now called Metadata (general, domain-specific and file metadata) • Collections are now dataverses Want to participate in Dataverse 4.0 testing? Sign up @ http://tinyurl.com/DVUserTesting
- 13. USING DATAVERSE • webinterface ๏ individual researcher can create a dataverse through a web form on the DVN and deposit their own data sets ๏ dataverses are organized in studies which are given a data citation so they can be referenced • software installation ๏ institution can intall it on their servers and create their own Dataverse Network
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- 18. DATAVERSE REPORT • DueNovember 1 • create dataverse • add midterm study to the dataverse • add datasets to the midterm study ๏ interview instrument, recorded interview, interview transcript, data management plan
- 19. DATAVERSE REPORT • reporton your experience using DVN • 1 page write-up: ๏ what you liked, did not like ๏ what was useful, what was confusing ๏ did you have to do a lot of searching on the website for help ๏ try searching for data sets: was it easy or hard
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