For side-by-side comparison on storage options for data sharing, protection, type and the cost associated with it, please click on Storage Resources
Amazon Web Services (AWS)
Amazon Web Services (AWS)
AWS is Amazon’s public cloud platform. AWS offers a large collection of services, which includes platform as a service (PaaS), infrastructure as a service (IaaS), and managed database service capabilities. All AWS subscriptions are set up by IT@JH. If you would like to request an AWS subscription, please fill out our RIT Intake form.
RIT Intake formARCH & JHU Rockfish
ARCH & JHU Rockfish
The Advanced Research Computing at Hopkins (ARCH) –formerly known as MARCC– is a shared computing facility at Johns Hopkins University that enables research, discovery, and learning, relying on the use and development of advanced computing.
Learn MoreCrunchr
Crunchr
A collaborative data science platform based on the leading data science platform, Jupyter. This environment comes packed with support for Python and R within JupyterLab and RStudio. For security purposes, Crunchr platform can only be reached from the Safe Desktop. Go to Johns Hopkins Precision Medicine Analytics Platform (PMAP) Cookbook for detailed instructions on how to get to the Crunchr website.
Learn moreEnterprise NAS
Enterprise NAS
Enterprise Network Attached Storage (NAS) storage is a storage option presented over the network and supported by IT@JH. This is used for home directories, departmental shared drives, bulk storage, researchers, and data archiving. NAS costs $2/100GB per month. To order NAS storage, please fill out a service request form below.
FormJohns Hopkins Research Data Repository
Johns Hopkins Research Data Repository
The JHU Data Repository is an open access repository for the long-term management and preservation of research data. Library Data Services offers a free open-access repository for projects under 1TB for JHU schools that participate in DMS funding.
learn moreJohns Hopkins – School of Medicine Archive (jhmi.edu)
Johns Hopkins – School of Medicine Archive (jhmi.edu)
Johns Hopkins University School of Medicine Archive allows SOM authors to archive research data supporting the figures and results in their publications
learn MoreJoint High Performance Computing Exchange (JHPCE)
JHPCE
The Joint High Performance Computing Exchange (JHPCE) is a fee-for-service core, High-Performance Computing (HPC) facility in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. It is a collaborative effort between Biostatistics and the Computational Biology & Research Computing group in the department of Molecular Microbiology and Immunology.
learn moreJHPCE CSUB
JHPCE CSUB
The CMS SUBcluster (C-SUB) is a small sub-cluster that houses Medicare/Medicaid data and makes use of some of the resources of an existing High Performance Computing cluster called JHPCE. Apart from holding Medicare/Medicaid data, the additional security features in place should enable it to meet many DUA requirements for housing full PHI data.
LEARN MOREKSAS Research Storage
KSAS Research Storage
Krieger IT offers high-speed, reliable, managed research data storage. Our all-flash storage is available to campus researchers, including HORNET connectivity and a direct connection to the ARCH, Rockfish, HPC cluster.
A budget (IO or CC) is required when making a request. Pricing is per TB per year and is based on your requested space allocation, not on space used. However, your usage will be based on actual space, NOT apparent file sizes, so you will enjoy the benefit of data reduction. Filesystems can be mounted via NFS, SMB or both. VAST storage available to JHU from Krieger IT is now certified for PHI data. You can request an allocation by clicking below:
Microsoft Azure
Microsoft Azure
Azure is Microsoft’s public cloud platform. Azure offers a large collection of services, which includes platform as a service (PaaS), infrastructure as a service (IaaS), and managed database service capabilities. All Azure subscriptions are set up by IT@JH. If you would like to request an Azure subscription, please fill out our RIT Intake form.
Learn MOreMicrosoft OneDrive/JHOneDrive
Microsoft OneDrive/JHOneDrive
Storing and sharing of individual files with occasional/light sharing among a user or two.
learn moreMicrosoft SharePoint Online
Microsoft SharePoint Online
Web-based collaboration and document management platform that provides users with a centralized storage and collaboration space for documents, information and ideas.
learn moreMicrosoft Teams
Microsoft Teams
Chat-based collaboration application that is fully integrated with Microsoft Office 365 and helps your team work more productively. It supports group-based chats, file sharing and also the scheduling of online meetings that can be integrated with Outlook, OneDrive, Planner and OneNote.
learn morePhoenix HPC
Phoenix HPC
Phoenix HPC offers a secure, PHI-compliant, SLURM-based compute platform managed by IT@JH.
Learn MorePMAP
PMAP
The Precision Medicine Analytics Platform gives you data from multiple sources and a broad suite of analytical tools in an approved, secure, compliant environment.
Learn MoreSAFER & SAFE Desktop
SAFER & SAFE Desktop
The SAFER (Secure Analytic Framework Environment for Research) Research Virtual Desktop and SAFE (Secure Analytic Framework Environment) Desktop are designed to empower researchers, enhance collaboration with internal and external researchers, and accelerate scientific discovery. Whether you’re analyzing protected data, conducting simulations, or collaborating with colleagues, SAFER and SAFE Desktop provide a secure and efficient Windows workspace.
Learn MOReSAFESTOR (Storage)
SAFESTOR (Storage)
SAFESTOR is the Network Attached Storage (NAS) for research purpose that is a secure and protected data storage option supported by Research IT@JH. Accessible from the SAFE Desktop and SAFER, SAFESTOR option is highly scalable and performant while offering data protection.
Learn MOreSciServer
SciServer
SciServer is a fully integrated cyberinfrastructure system encompassing related tools and services to enable researchers to cope with scientific big data.
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