diff --git a/doc/sphinx-guides/source/_static/admin/dataverse-external-tools.tsv b/doc/sphinx-guides/source/_static/admin/dataverse-external-tools.tsv index 952595837f1..61db5dfed93 100644 --- a/doc/sphinx-guides/source/_static/admin/dataverse-external-tools.tsv +++ b/doc/sphinx-guides/source/_static/admin/dataverse-external-tools.tsv @@ -1,5 +1,5 @@ Tool Type Scope Description Data Explorer explore file A GUI which lists the variables in a tabular data file allowing searching, charting and cross tabulation analysis. See the README.md file at https://github.com/scholarsportal/dataverse-data-explorer-v2 for the instructions on adding Data Explorer to your Dataverse. Whole Tale explore dataset A platform for the creation of reproducible research packages that allows users to launch containerized interactive analysis environments based on popular tools such as Jupyter and RStudio. Using this integration, Dataverse users can launch Jupyter and RStudio environments to analyze published datasets. For more information, see the `Whole Tale User Guide `_. -File Previewers explore file A set of tools that display the content of files - including audio, html, `Hypothes.is `_ annotations, images, PDF, text, video, tabular data, and spreadsheets - allowing them to be viewed without downloading. The previewers can be run directly from github.io, so the only required step is using the Dataverse API to register the ones you want to use. Documentation, including how to optionally brand the previewers, and an invitation to contribute through github are in the README.md file. Initial development was led by the Qualitative Data Repository and the spreasdheet previewer was added by the Social Sciences and Humanities Open Cloud (SSHOC) project. https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers +File Previewers explore file A set of tools that display the content of files - including audio, html, `Hypothes.is `_ annotations, images, PDF, text, video, tabular data, spreadsheets, and GeoJSON - allowing them to be viewed without downloading. The previewers can be run directly from github.io, so the only required step is using the Dataverse API to register the ones you want to use. Documentation, including how to optionally brand the previewers, and an invitation to contribute through github are in the README.md file. Initial development was led by the Qualitative Data Repository and the spreasdheet previewer was added by the Social Sciences and Humanities Open Cloud (SSHOC) project. https://github.com/gdcc/dataverse-previewers Data Curation Tool configure file A GUI for curating data by adding labels, groups, weights and other details to assist with informed reuse. See the README.md file at https://github.com/scholarsportal/Dataverse-Data-Curation-Tool for the installation instructions. diff --git a/doc/sphinx-guides/source/api/apps.rst b/doc/sphinx-guides/source/api/apps.rst index 583d14310dc..5573056051c 100755 --- a/doc/sphinx-guides/source/api/apps.rst +++ b/doc/sphinx-guides/source/api/apps.rst @@ -28,9 +28,9 @@ https://github.com/scholarsportal/Dataverse-Data-Curation-Tool File Previewers ~~~~~~~~~~~~~~~ -File Previewers are tools that display the content of files - including audio, html, Hypothes.is annotations, images, PDF, text, video - allowing them to be viewed without downloading. +File Previewers are tools that display the content of files - including audio, html, Hypothes.is annotations, images, PDF, text, video, GeoJSON - allowing them to be viewed without downloading. -https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers +https://github.com/gdcc/dataverse-previewers Python ------ diff --git a/doc/sphinx-guides/source/developers/big-data-support.rst b/doc/sphinx-guides/source/developers/big-data-support.rst index 21675bd4960..641307372ee 100644 --- a/doc/sphinx-guides/source/developers/big-data-support.rst +++ b/doc/sphinx-guides/source/developers/big-data-support.rst @@ -38,7 +38,7 @@ At present, one potential drawback for direct-upload is that files are only part **IMPORTANT:** One additional step that is required to enable direct uploads via a Dataverse installation and for direct download to work with previewers is to allow cross site (CORS) requests on your S3 store. -The example below shows how to enable CORS rules (to support upload and download) on a bucket using the AWS CLI command line tool. Note that you may want to limit the AllowedOrigins and/or AllowedHeaders further. https://github.com/GlobalDataverseCommunityConsortium/dataverse-previewers/wiki/Using-Previewers-with-download-redirects-from-S3 has some additional information about doing this. +The example below shows how to enable CORS rules (to support upload and download) on a bucket using the AWS CLI command line tool. Note that you may want to limit the AllowedOrigins and/or AllowedHeaders further. https://github.com/gdcc/dataverse-previewers/wiki/Using-Previewers-with-download-redirects-from-S3 has some additional information about doing this. ``aws s3api put-bucket-cors --bucket --cors-configuration file://cors.json`` diff --git a/doc/sphinx-guides/source/installation/prep.rst b/doc/sphinx-guides/source/installation/prep.rst index c841cd55fb3..e33c774a33a 100644 --- a/doc/sphinx-guides/source/installation/prep.rst +++ b/doc/sphinx-guides/source/installation/prep.rst @@ -31,7 +31,7 @@ There are some community-lead projects to use configuration management tools suc (Please note that the "dataverse-ansible" repo is used in a script that allows the Dataverse Software to be installed on Amazon Web Services (AWS) from arbitrary GitHub branches as described in the :doc:`/developers/deployment` section of the Developer Guide.) -The Dataverse Project team is happy to "bless" additional community efforts along these lines (i.e. Docker, Chef, Salt, etc.) by creating a repo under https://github.com/GlobalDataverseCommunityConsortium and managing team access. +The Dataverse Project team is happy to "bless" additional community efforts along these lines (i.e. Docker, Chef, Salt, etc.) by creating a repo under https://github.com/gdcc and managing team access. The Dataverse Software permits a fair amount of flexibility in where you choose to install the various components. The diagram below shows a load balancer, multiple proxies and web servers, redundant database servers, and offloading of potentially resource intensive work to a separate server. (Glassfish is shown rather than Payara.)