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NCI offers two data management resources to store, manage, and archive large research datasets, as follows:

The NCI Data Management Environment (DME) offers open-ended storage and management of

large

scientific research datasets. It eliminates the need to maintain redundant copies of large heterogenous data and provides the ability to annotate, retrieve, and share datasets for further research, analysis, and collaboration.

The NCI Data Vault serves as the archive store for these datasets. It provides scalable, virtualized, high-reliability storage that is transparent to the end user.

In the

Data

Vault, data

are

managed

stored as objects, which are organized into collections (folders), and a collection might have one or more collections within it. A collection can be identified by a custom collection type such as Project, Study, Sample, and so on, the default being Folder.

How do these resources work together? DME provides an entry point to archive data to the NCI Data Vault, and to manage, transfer, access, and share data across disparate systems securely and efficiently. DME allows storage of you to associate user-defined metadata with to registered data at different points in the data life cycle. In addition, DME offers search capabilities to identify this data and attach a value factor to each dataset. A Division/Office/Center (DOC) can define its own metadata structure and data hierarchy rules, and grant permission to users as needed.

Who can access the DME? If you have an NIH account, the NCI Data Vault team can give you access to DME. For access requests or any other questions, contact NCIDataVault@mail.nih.gov

This user guide describes the capabilities of DME. In some cases, you can choose whether to perform each activity using the web application's graphical user interface (GUI) or Command Line Utilities (CLU)

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shared info - guide intro
 

Note

This user guide is a work in progress.

CLU vs GUI

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titleContents

Consider searching within or browsing this user guide:

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DME User Guide
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titleNarrated Demonstration Slides

Preparing to Use Globus

Downloading to a Globus Endpoint via the GUI

Registering from a Globus Endpoint via the GUI

Registering from an AWS S3 Bucket via the GUI

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titleGUI vs. CLU

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titleDME REST API Specification

https://github.com/CBIIT/HPC_DME_APIs/blob/master/doc/guides/HPC_API_Specification.docx

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titleExport User Guide

To export all or part of this user guide to a PDF file, visit the Export PDF Options page for this wiki space.

For detailed instructions, refer to

Confluence Support

the following Atlassian help page:

https://confluence.atlassian.com/conf73/export-content-to-word-pdf-html-and-xml-991927607.html

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