As part of our outreach effort, at SciServer we work towards supporting and educating users, creating online resources, and connecting with institutions beyond Johns Hopkins. Our mission is to provide universally-accessible computation- and data-intensive research and education tools that bring big data and compute power together.

Collaboration

We encourage scientists, engineers, and educators to use SciServer for their research, and for classroom and other educational projects. If you use SciServer, please keep us in the loop. Send us your feedback, comments, questions, and feature requests to help us optimize our software development, and identify new functionality requirements.

In addition, if you use SciServer tools for research or education, please include the following acknowledgement in your publication or presentation:

“SciServer is a collaborative research environment for large-scale data-driven science. It is developed at, and administered by, the Institute for Data Intensive Engineering and Science at Johns Hopkins University. SciServer is funded by the National Science Foundation Award ACI-1261715. For more information about SciServer, please visit http://www.sciserver.org.”

Early Adopters

Early Adopter sign-ups are currently frozen in preparation for our release next week. After Altair is released, our pre-production and production environments will be the same! However, we will re-open our Early Adopter program in the future, as we add new features and functionality.

Early Adopter are requested to migrate to production tools and servers with the release of SciServer Altair. Early Adopters can request to have their MyDB transferred from pre-production to production servers.

Events and Workshops

Our first SciServer Compute Workshop takes place April 27, 2016. This workshop covers SciServer Compute, a webapp that brings SciServer to your browser with Jupyter Notebooks and Docker.

Citizen Science

a photo of an edge-on spiral galaxy with a thick dust lane

A galaxy as seen by the Sloan Digital Sky Survey

Our team has been a part of the Galaxy Zoo team from the beginning. Galaxy Zoo is a citizen science project that allows online volunteers around the world to classify images of galaxies from the Sloan Digital Sky Survey. Galaxy Zoo has engaged more than 400,000 volunteers over eight years, and has led to more than 50 peer-reviewed science publications, including some major discoveries made by citizen science volunteers.

Looking beyond astronomy, the SciServer team is part of the collaboration that is creating the Zooniverse suite of citizen science projects. Zooniverse includes more than 20 citizen science projects investigating topics from ecology to particle physics to archaeology.

Education

A hand holding a baby turtle

Life Under Your Feet: a soil ecology project.

SciServer is committed to making all its data available not only to the research community, but also to educators, citizen scientists, and the general public. Our team has spent 15 years developing the SkyServer education projects, which use Sloan Digital Sky Survey (SDSS) data to teach astronomy and other topics in science, mathematics, engineering, and technology courses. We are also working with the SDSS education team on SDSS Voyages, a new set of education activities based on the new Next Generation Science Standards.

The main development focus of SciServer education will be the creation of a Student Notebook, which will allow teachers to manage their students’ work with SciServer education projects.


Towson University

Towson University Logo

Towson University

We are working with Dr. Michael McGuire, an Assistant Professor in the Department of Computer and Information Sciences at Towson University. Mike and his team are developing the tools to store and access the data collected by the GLUSEEN earth observation network.

IDIES

Logo for Institute for Data Intensive Engineering and Science

The Institute for Data-Intensive Engineering and Science

The SciServer development team is part of the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins University. IDIES is a cross-cutting initiative designed to encourage collaboration among researchers interested in data-intensive science at JHU.