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Research Data Management: Data Repositories

Data Management for researchers provides a framework for preserving, sharing, and archiving data.

Where should I park my data?

Knowing where to park your data is important. Generic options are:

  • A flash drive
  • A shared lab computer
  • A department folder
  • An institutional repository
  • A repository for your discipline
  • An open source repository
  • A paid repository

Important points

You and others need to be able to find and interpret your data.

  • Data set clearly labeled
  • Data clearly defined
  • Accurate and consistent metadata such as name, date, lab, procedure, value definitions
  • Format

Repositories for storing your data

The Dataverse Project:  The Dataverse Project 

  • Good for social sciences and the humanities
  • Open source
  • 2 GB limit unless you configure for more in the installation (see Google group post)
  • The  pros and cons:  This is a 2013 review.  Things might have changed.

Norwegian Centre for Research Data:  NESSTAR

  • A software system for publishing data on the web

SDA: Survey docuentation and analysis :  SDA

Science Commons:  science commons

  • A project of Creative Commons
  • For science data
  • Created the NeuroCommons for computational biology, neuroscience and neuromedicine

Zenodo : Zenodo 

  • Open repository for all research outputs
  • Powered by Invenio v3 state of the art digital repository
  • 50 GB limit per dataset!
  • Launched by CERN and OpenAIRE in 2016
  • Github integration (code-hosting repository service enabling version control for collaborative software development)

Other useful  links:

Librarian

Profile Photo
Rani Anand
Contact:
02-312-3935