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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


Open Data: Open Data Repository


 The Open Data Repository's Data Publisher allows researchers, graduate students, and the general public to quickly create database structures and publish data on the web. Using the drag-and-drop form designer, you can easily create your database schema and then populate it with meta-data, files, and graphs.

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:


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Rani Anand