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INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. Read More. The Dataverse Package for R, part of the rOpenSci Project, integratesR16. SECURITY
From the CTS application:The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users. USER GUIDE — DATAVERSE.ORG Data Exploration Guide. TwoRavens: Tabular Data Exploration. Exploring and Analyzing Tabular files in Dataverse. Selection/Left Panel. Original Data and Subset Data. Variables, Models, and Summary. Modeling/Center Panel. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
FINDING AND USING DATA Finding Data ¶. Without logging in, users can browse a Dataverse installation and search for Dataverse collections, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) data files. SAMPLE DATA USAGE AGREEMENT **Note: This is a sample DUA for datasets that have de-identified human subject data This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the materials (“Materials”) to be downloaded. I. Acceptance of this Agreement By downloading or otherwise accessing the Materials, Downloader represents his FREQUENTLY ASKED QUESTIONS The SWORD API is based on a standard, works fine, and is fully supported, but much more development effort has been going into the Native API, which is not based on a standard. It is specific to the Dataverse Software. SWORD uses XML. The NativeMAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, ACCOUNT CREATION + MANAGEMENT Account Information ¶. As a registered user, you can: Create your own dataverse, if permitted, and customize it. Add datasets to dataverses,if permitted.
DATA ACCESS API
Data Access API¶. The Data Access API provides programmatic download access to the files stored in a Dataverse installation. More advanced features of the Access API include format-specific transformations (thumbnail generation/resizing for images; converting tabular data into alternative file formats) and access to the data-level metadata that describes the contents of the tabular files.INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. Read More. The Dataverse Package for R, part of the rOpenSci Project, integratesR16. SECURITY
From the CTS application:The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users. USER GUIDE — DATAVERSE.ORG Data Exploration Guide. TwoRavens: Tabular Data Exploration. Exploring and Analyzing Tabular files in Dataverse. Selection/Left Panel. Original Data and Subset Data. Variables, Models, and Summary. Modeling/Center Panel. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
FINDING AND USING DATA Finding Data ¶. Without logging in, users can browse a Dataverse installation and search for Dataverse collections, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) data files. SAMPLE DATA USAGE AGREEMENT **Note: This is a sample DUA for datasets that have de-identified human subject data This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the materials (“Materials”) to be downloaded. I. Acceptance of this Agreement By downloading or otherwise accessing the Materials, Downloader represents his FREQUENTLY ASKED QUESTIONS The SWORD API is based on a standard, works fine, and is fully supported, but much more development effort has been going into the Native API, which is not based on a standard. It is specific to the Dataverse Software. SWORD uses XML. The NativeMAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, ACCOUNT CREATION + MANAGEMENT Account Information ¶. As a registered user, you can: Create your own dataverse, if permitted, and customize it. Add datasets to dataverses,if permitted.
DATA ACCESS API
Data Access API¶. The Data Access API provides programmatic download access to the files stored in a Dataverse installation. More advanced features of the Access API include format-specific transformations (thumbnail generation/resizing for images; converting tabular data into alternative file formats) and access to the data-level metadata that describes the contents of the tabular files. REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact theR16. SECURITY
From the CTS application:The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
API GUIDE — DATAVERSE.ORG Sysadmins. In House Developers. API Users Across the Dataverse Project. Developers of Integrations, External Tools, and Apps. Developers of Dataverse Software API Client Libraries. Developers of The Dataverse Software Itself. How This Guide is Organized. GettingStarted.
DATA EXPLORATION GUIDE Data Exploration Guide¶. Note that the installation of Dataverse you are using may have additional or different tools configured. Developers interested in creating tools should refer to the External Tools section of the Installation Guide.. Contents: WORKFLOWS — DATAVERSE.ORG Introduction ¶. The Dataverse Software can perform two sequences of actions when datasets are published: one prior to publishing (marked by a PrePublishDataset trigger), and one after the publication has succeeded (PostPublishDataset).The pre-publish workflow is useful for having an external system prepare a dataset for being publicly accessed (a possibly lengthy activity that requires moving APPENDIX — DATAVERSE.ORG Metadata References ¶. The Dataverse Project is committed to using standard-compliant metadata to ensure that a Dataverse installation’s metadata can be mapped easily to standard metadata schemas and be exported into JSON format (XML for tabular filemetadata) for
BACKUPS — DATAVERSE.ORG Backups. Running tape, or similar backups to ensure the long term preservation of all the data stored in the Dataverse Repository is an implied responsibility that should be taken most seriously. In addition to running these disk-level backups, we have provided an experimental script that can be run on schedule (via a cron job orsomething
DOCKER, KUBERNETES, AND OPENSHIFT OpenShift ¶. From the Dataverse perspective, we are in the business of providing a “template” for OpenShift that describes how the various components we build our application on (Glassfish, PostgreSQL, Solr, the Dataverse war file itself, etc.) work together.HARVARD DATAVERSE
The Dataverse Project is an open source software application to share, cite and archive data. Dataverse provides a robust infrastructure for data stewards to host and archive data, while offering researchers an easy way to share and get credit for their data.RESEARCHERS
What is a Dataverse Collection? Having a Dataverse collection allows you to share, organize and archive your data, while also being able to display it on your site.INSTITUTIONS
With over 65 institutions around the world currently using the Dataverse Project software as the solution to their data sharing, archiving, and publishing needs, your institution will join a community that is committed to making research data available to all. The Dataverse Project software is available for anyone to download inthe Dataverse
INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. Read More. The Dataverse Package for R, part of the rOpenSci Project, integrates REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact theDATA MANAGEMENT
By depositing research data in a Dataverse repository (including the Harvard Dataverse Repository) researchers can fulfill funding agency requirements for data management plans. Creation of a data management plan is a "best practice" for research projects that involve theR16. SECURITY
From the CTS application:The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
MAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, API GUIDE — DATAVERSE.ORG Sysadmins. In House Developers. API Users Across the Dataverse Project. Developers of Integrations, External Tools, and Apps. Developers of Dataverse Software API Client Libraries. Developers of The Dataverse Software Itself. How This Guide is Organized. GettingStarted.
SAMPLE DATA USAGE AGREEMENT **Note: This is a sample DUA for datasets that have de-identified human subject data This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the materials (“Materials”) to be downloaded. I. Acceptance of this Agreement By downloading or otherwise accessing the Materials, Downloader represents hisRESEARCHERS
What is a Dataverse Collection? Having a Dataverse collection allows you to share, organize and archive your data, while also being able to display it on your site.INSTITUTIONS
With over 65 institutions around the world currently using the Dataverse Project software as the solution to their data sharing, archiving, and publishing needs, your institution will join a community that is committed to making research data available to all. The Dataverse Project software is available for anyone to download inthe Dataverse
INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. Read More. The Dataverse Package for R, part of the rOpenSci Project, integrates REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact theDATA MANAGEMENT
By depositing research data in a Dataverse repository (including the Harvard Dataverse Repository) researchers can fulfill funding agency requirements for data management plans. Creation of a data management plan is a "best practice" for research projects that involve theR16. SECURITY
From the CTS application:The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
MAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, API GUIDE — DATAVERSE.ORG Sysadmins. In House Developers. API Users Across the Dataverse Project. Developers of Integrations, External Tools, and Apps. Developers of Dataverse Software API Client Libraries. Developers of The Dataverse Software Itself. How This Guide is Organized. GettingStarted.
SAMPLE DATA USAGE AGREEMENT **Note: This is a sample DUA for datasets that have de-identified human subject data This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the materials (“Materials”) to be downloaded. I. Acceptance of this Agreement By downloading or otherwise accessing the Materials, Downloader represents his THE DATAVERSE PROJECT Enjoy full control over your data. Receive web visibility, academic credit, and increased citation counts. A personal Dataverse collection is easy to set up, allows you to display your data on your personal website, can be branded uniquely as your research program, makes your data more discoverable to the research community, and satisfies datamanagement plans.
ABOUT | THE DATAVERSE PROJECT The Project 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.INSTITUTIONS
With over 65 institutions around the world currently using the Dataverse Project software as the solution to their data sharing, archiving, and publishing needs, your institution will join a community that is committed to making research data available to all. The Dataverse Project software is available for anyone to download inthe Dataverse
INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. Read More. The Dataverse Package for R, part of the rOpenSci Project, integratesDATA MANAGEMENT
By depositing research data in a Dataverse repository (including the Harvard Dataverse Repository) researchers can fulfill funding agency requirements for data management plans. Creation of a data management plan is a "best practice" for research projects that involve theDATA CITATION
Data Citation. The Dataverse Project standardizes the citation of datasets to make it easier for researchers to publish their data and get credit as well as recognition for their work. When you create a dataset in a Dataverse repository, the citation is generated and presented automatically. As an open source framework and research dataPREPARATION
Optional Components ¶. There are a number of optional components you may choose to install or configure, including: External Tools: Third party tools for data exploration can be added to the Dataverse installation by following the instructions in the External Tools section of the Admin Guide.. Dropbox integration dataverse.dropbox.key: for uploading files from the Dropbox API. REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact the FINDING AND USING DATA Finding Data ¶. Without logging in, users can browse a Dataverse installation and search for Dataverse collections, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) data files. WORKFLOWS — DATAVERSE.ORG Introduction ¶. The Dataverse Software can perform two sequences of actions when datasets are published: one prior to publishing (marked by a PrePublishDataset trigger), and one after the publication has succeeded (PostPublishDataset).The pre-publish workflow is useful for having an external system prepare a dataset for being publicly accessed (a possibly lengthy activity that requires moving JOURNALS | THE DATAVERSE PROJECT 3. Integrate your journal's manuscript submission system with a Dataverse Repository. With a Dataverse repository integration, your authors can submit their manuscripts and research data at the same time, from the same platform, automatically creating persistent, biRESEARCHERS
What is a Dataverse Collection? Having a Dataverse collection allows you to share, organize and archive your data, while also being able to display it on your site. FEATURES | THE DATAVERSE PROJECT Please help us keep this page up to date! To contribute ideas, please reply on the favorite features of the Dataverse Project thread on the mailing list or request access to the crowdsourced list of ideas spreadsheet (further instructions).See also our Comparative Review of Various Data Repositories.INSTITUTIONS
The Harvard Dataverse Repository for your institution Does your institution need a place to host research data but doesn't need to install the Dataverse Project software?PRESENTATIONS
Presentation at JavaOne 2017 by Philip Durbin and Stephen Kraffmiller about the Dataverse team's approach toward running an open source project with an emphasis on listening to users, operating transparently, and encouraging contribution from the community.INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) . Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact the DATA EXPLORATION GUIDE Data Exploration Guide¶. Note that the installation of Dataverse you are using may have additional or different tools configured. Developers interested in creating tools should refer to the External Tools section of the Installation Guide.. Contents:MAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, SHIBBOLETH AND OAUTH Shibboleth and OAuth ¶. If you are working on anything related to users, please keep in mind that your changes will likely affect Shibboleth and OAuth users. JOURNALS | THE DATAVERSE PROJECT 3. Integrate your journal's manuscript submission system with a Dataverse Repository. With a Dataverse repository integration, your authors can submit their manuscripts and research data at the same time, from the same platform, automatically creating persistent, biRESEARCHERS
What is a Dataverse Collection? Having a Dataverse collection allows you to share, organize and archive your data, while also being able to display it on your site. FEATURES | THE DATAVERSE PROJECT Please help us keep this page up to date! To contribute ideas, please reply on the favorite features of the Dataverse Project thread on the mailing list or request access to the crowdsourced list of ideas spreadsheet (further instructions).See also our Comparative Review of Various Data Repositories.INSTITUTIONS
The Harvard Dataverse Repository for your institution Does your institution need a place to host research data but doesn't need to install the Dataverse Project software?PRESENTATIONS
Presentation at JavaOne 2017 by Philip Durbin and Stephen Kraffmiller about the Dataverse team's approach toward running an open source project with an emphasis on listening to users, operating transparently, and encouraging contribution from the community.INTEGRATIONS
Open Journal Systems (versions 2.4.8-2 and earlier) . Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact the DATA EXPLORATION GUIDE Data Exploration Guide¶. Note that the installation of Dataverse you are using may have additional or different tools configured. Developers interested in creating tools should refer to the External Tools section of the Installation Guide.. Contents:MAKE DATA COUNT
Make Data Count¶. Make Data Count is a project to collect and standardize metrics on data use, especially views, downloads, and citations. The Dataverse Software can integrate Make Data Count to collect and display usage metrics including counts of dataset views, SHIBBOLETH AND OAUTH Shibboleth and OAuth ¶. If you are working on anything related to users, please keep in mind that your changes will likely affect Shibboleth and OAuth users.PUBLICATIONS
Trisovic A, Durbin P, Schlatter T, Durand G, Barbosa S, Brooke D, Crosas M. Advancing Computational Reproducibility in the Dataverse Data Repository Platform, in P-RECS '20: Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems. ; 2020 :15–20. Publisher's Version Abstract ABOUT | THE DATAVERSE PROJECT The Project 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. FEATURES | THE DATAVERSE PROJECT Please help us keep this page up to date! To contribute ideas, please reply on the favorite features of the Dataverse Project thread on the mailing list or request access to the crowdsourced list of ideas spreadsheet (further instructions).See also our Comparative Review of Various Data Repositories. DEVELOPERS | THE DATAVERSE PROJECT The Dataverse Project Development Community is an active group of internal and external contributors to the Dataverse software codebase. From fixing bugs to writing documentation as well as creating integrations and client libraries, the community is a major part of the what makes the Dataverse software successful. Get involved by contributing, integrating, or participating. REPLICATION DATASET GUIDELINES Many journals, publishers, and funding agencies require researchers to deposit replication datasets in a public repository. The Dataverse Project helps researchers fulfill this requirement by supporting the deposit of replication datasets, making this special type of data easily discoverable for other researchers to reuse and verify that a study can be replicated without having to contact the METRICS | THE DATAVERSE PROJECT Skip to main content. Main Menu; Utility Menu; Search; HARVARD.EDUDATA CITATION
The Dataverse Project standardizes the citation of datasets to make it easier for researchers to publish their data and get credit as well as recognition for their work.When you create a dataset in a Dataverse repository, the citation is generated and presented automatically. FINDING AND USING DATA Finding Data ¶. Without logging in, users can browse a Dataverse installation and search for Dataverse collections, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) data files. FINDING AND USING DATA Finding Data ¶. Without logging in to Dataverse, users can browse Dataverse, search for dataverses, datasets, and files, view dataset descriptions and files for published datasets, and subset, analyze, and visualize data for published (restricted & not restricted) datafiles.
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Ingest ¶. When uploaded to a Dataverse installation, the .zip is unpacked (same as all .zip files). Shapefile sets are recognized by the same base name and specific extensions. These Skip to main content* Main Menu
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Open source research data repository softwareRESEARCHERS
Enjoy full control over your data. Receive web visibility, academic credit, and increased citation counts. A personal Dataverse collection is easy to set up, allows you to display your data on your personal website, can be branded uniquely as your research program, makes your data more discoverable to the research community, and satisfies data management plans. Want to set up your personal Dataverse collection?JOURNALS
Seamlessly manage the submission, review, and publication of data associated with published articles. Establish an unbreakable link between articles in your journal and associated data. Participate in the open data movement by using a Dataverse collection as part of your journal data policy or list of repository recommendations. Want to find out more about journal Dataverse collections?INSTITUTIONS
Establish a research data management solution for your community. Federate with a growing list of Dataverse repositories worldwide for increased discoverability of your community’s data. Participate in the drive to set norms for sharing, preserving, citing, exploring, and analyzing research data. Want to install a Dataverse repository?DEVELOPERS
Participate in a vibrant and growing community that is helping to drive the norms for sharing, preserving, citing, exploring, and analyzing research data. Contribute code extensions, documentation, testing, and/or standards. Integrate research analysis, visualization and exploration tools, or other research and data archival systems with the Dataverse Project. Want to contribute? DATAVERSE REPOSITORIES - A WORLD VIEW A2BD36DE0711CA11586E77791213138CView more Metrics
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DATAVERSE 5.2
November 10, 2020
Dataverse 5.2 is now available!Some highlights:
FILE PREVIEW WHEN GUESTBOOKS OR TERMS EXIST Previously, file preview was only available when files were publicly downloadable. Now if a guestbook or terms (or both) are configured for the dataset, they will be shown in the Preview tab and once they are agreed to, the file preview will appear (... Read more about Dataverse 5.2 DATAVERSE 5.1 AND 5.1.1October 8, 2020
Dataverse 5.1 and Dataverse 5.1.1 were released this week: - https://github.com/IQSS/dataverse/releases/tag/v5.1- ...
Read more about Dataverse 5.1 and 5.1.1More
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