Our team was inspired to choose this challenge because we are very passionate in the areas of Astronomy, Software and Physics. We love to experiment with new tools and discover the benefits of data. We are all students and we like to create solutions focused on people beyond the classroom. Since we are fascinated with science, we also want other people to become more interested in this area. We found that this challenge is the perfect opportunity for us to learn about space images and motivate others to get access to this information.

For this project, we used a design thinking approach in order to come up with the solutions. First, we focused on decomposing the problem and understanding it well. After that, we focused on some specific pain points. One important aspect of our process was that we were having similar pain points as our final users while accessing and understanding the data. Following the problem identification, we made a brainstorming session to ideate and generate possible solutions and features that could help people access the space data in a more user-friendly way. In ording to organize our tasks, we used a kanban board to follow all the activities of this project and keep track of our progress. Also, we created a board in Miro to organize all of our possible data sources and tools that we could use. The Miro Dashboard can be accessed here: https://miro.com/app/board/o9J_kjzYHeA=/

One of our first steps was to create a low fidelity prototype in Figma. This prototype allowed us to visualize the features of our solution. We also defined the color palette for the project. A link to the prototype screenshots can be accessed here: https://github.com/FISIS-team/Prototype

After the prototype, we proceeded to continue creating the solution. In order to do this, the app we created was made using react and the 3D components were created by using a javascript library called a library called three.js. Also, we used a web scraping tool called Octoparse in order to fetch the data from HEASARC. We combined a good user experience with useful data. 

One of the main issues that we faced during this hackathon was the huge amount of data that we could use. We were a little overwhelmed by all the possible datasources. Also, we were having trouble accessing the data and visualizing the information in the resources. That was kind of ironic because our goal is to help others visualite that data in an easy way. However, this motivated us more to create a better solution that solved our issues of exploring the data. One of the biggest achievements our team did was to be able to retrieve the information from many missions and be able to link each image to a different ‘node’ in our web app. 

With Space Explorer wiki, we want to make the Universe accesible to anyone from home. In this sense, we explored as much as we could from the HEASARC dataset (https://heasarc.gsfc.nasa.gov/xamin/) and opted to investigate further on at least one of each of the datasets in the different wavelengths of the EM spectrum (IR, UV, X-ray, Gamma-ray and microwave) .

In this way, we chose AGILE (Gamma spectra), KVANT (X-ray), UIT (UV). We wanted to use data from Planck and Einstein as well, but because of time limitations we chose only these three datasets.

A prototype of the solution was done here: https://github.com/FISIS-team/Prototype

The Front end demo is created here : https://github.com/FISIS-team/Proyecto-Nasa-Front

The Back end demo is created here: https://github.com/FISIS-team/proyecto_nasa_wiki

The video Demo is here: https://drive.google.com/file/d/1EovCjq_YzgtrvuMr0IK7NE6xlZDA7e8p/view

Data used in this project:

• https://heasarc.gsfc.nasa.gov/db-perl/W3Browse/w3table.pl?tablehead=name%3Dagileupvar&Action=More+Options
•  

Tools used in this project:

• https://heasarc.gsfc.nasa.gov/xamin/
• https://aladin.u-strasbg.fr/AladinLite/doc/#embedding
• https://threejs.org/
• https://material-ui.com/

Inspiration resources:

• https://asafuturescape.org/explore
• https://viewspace.org/
• https://solarsystem.nasa.gov/
• https://svs.gsfc.nasa.gov/
• http://deepspacemap.com/#bookmark
• https://www.google.com/sky/
• https://in-the-sky.org/ngc3d.php

Consulted data resources:

• ftp://data.asc-csa.gc.ca/users/OpenData_DonneesOuvertes/pub/NEOSSAT/

• https://nasa-navo.github.io/navo-workshop/CS_Image_Access.html

• https://nasa-navo.github.io/navo-workshop/CS_Catalog_Queries.html

• https://nasa-navo.github.io/navo-workshop/CS_Spectral_Access.html

• https://exofop.ipac.caltech.edu/tess/contributed/TESSMosaic/

• http://treasuremap.space/

• https://aladin.u-strasbg.fr/hips/list

• https://skyview.gsfc.nasa.gov/current/docs/easy.html

• https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/neossat/

• https://gracedb.ligo.org/documentation/rest.html

• http://vao.stsci.edu/keyword-search/?utf8=;%E2%9C%93&search_field=all_fields&q=xmm

• https://heasarc.gsfc.nasa.gov/db-perl/W3Browse/w3browse.pl

• https://heasarc.gsfc.nasa.gov/xamin/