**Researcher Dashboard Breakout:** DASPOS Workshop
This is a repo for Breakout 3 Web Dashboard for Repeating and Reusing Research a session held at the [DASPOS Workshop on Container Strategies for Data & Software Preservation][1].
**Technology Preview:A Web Dashboard for Repeating and Reusing Research**
The researcher dashboard aims to provide an intuitive Web-based interface to expose fully interactive research containers that support the lifecycle of scholarly communication. Research containers enable executable and repeatable research by supporting methods, source code, and data within dynamically created Docker containers. We will work with a version that interoperates with the Open Science Framework (OSF), which is an environment that supports open materials, data, tools to connect projects and initiatives and easy online publishing of results. Using the latter system, a researcher can create a project on the OSF, connect data management tools to it (e.g. Google Drive, Dropbox, Box, Dataverse, and so on) and then use of the dashboard (implemented as an add on)to execute methods on OSF data in a container using the Boatload API.
For more background information, check out the [NDS Dashboard v1 bitbucket repo](https://bitbucket.org/nds-org/nds-dashboard).
More information about NDS is available at [National Data Service](http://www.nationaldataservice.org)
The associated github repository contains info, links, files for participating in the Researcher Dashboard Breakout sessions at the DASPOS Workshop Container Strategies for Data & Software Preservation that Promote Open Science held at Notre Dame University 5/19-20/2016 .
The breakout sessions are related to the 5/19/2016 [Web Dashboard for Repeating and Reusing Research Workshop Talk](https://daspos.crc.nd.edu/index.php/14-daspos/workshops/55-workshop-7speak#itay) presented by [Ian Taylor](https://daspos.crc.nd.edu/index.php/14-daspos/workshops/55-workshop-7speak#itay) and the 5/20/2016 talk on NDS Labs and NDS Share presented by Kenton McHenry, Senior Research Scientist, National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign.
During the breakout you will
follow the tutorial (see tutorial slides) that will step through the following
items you can try too:
STEP1: Create
To create an account on the open science framework
To verify that account and create a project for a publication
STEP 2: Open
To make the project public
STEP 3: Add Data
To add the publication PDF to the project/publication
And add a python script to the project/publication
And add a data set to the publication
STEP 4: Browse Data
Let’s browse the REST API to see the data on OSF
STEP 5: Research Containers
Run the data methods on the data in a Docker container
View the container in Boatload, and browse other containers
Finish the experiment and download the results
[1]: https://daspos.crc.nd.edu/index.php/workshops/container-strategies-for-data-software-preservation-that-promote-open-science
