SPOT - extensible facet browser
What is SPOT?
SPOT is an open science platform on which researchers can visually analyze and compare the datasets from published scientific journal articles. It is also a visual data analytics tool for multi-dimensional datasets. SPOT allows researchers to recreate representations (plots) in the publications and do more exploration. In this way, static plots in the publications become interactive and researcher can look at the data from different angle. The interactive dashboards for the quick analysis of datasets and easy identification of correlations between variables can be done in only a few clicks. The tool was initially developed for the iDARK project, which aimed to combine and visualize the worldwide data within the most general models of dark matter. The published datasets in this research project are being collected at www.idarksurvey.com. SPOT was designed as a generic tool in order to extend and reuse it in other disciplines than physics. It is quick and responsive, even for data sets containing huge number of records.
More details about SPOT can be foun at https://research-software.nl/software/spot
How to run it
Make sure you have git installed on your system.
Prerequisites for running SPOT as stand-alone website using crossfilter:
- follow the instructions to install node.js:
- clone this repository:
git clone https://github.com/NLeSC/spot.git && cd spot
- install dependencies:
Note: some dependencies may require node-gyp. If you get errors during compilation of this package, you may need to install following packages on Ubuntu system or equivalent packages for your distribution.
sudo apt-get install -y build-essential python libpq-dev
- start the web server
- open http://localhost:9966 in a web browser
Building the website is only tested on Linux, but it should work on any OS (Mac OS X for example) that is supported by node and npm.
Hosting the site can be done by any webserver.
In order to use SPOT with a PostreSQL server, you need to clone the spot-server repository and follow the instructions in the README. In general, these are the steps to follow:
make sure that PostreSQL service is runnning.
upload your data to the database with the
run the SPOT-server with the
Desktop version of SPOT is still under development. Available downloads can be found here.
SPOT api documentation can be found here.
Jisk Attema, the Netherlands eScience Center