Open Data

This guide is designed to serve as an introduction to the concepts and tools supporting the Open Data Movement

Helpful guides for the Data Research Process

Workflow Models

Presented here are two models for the research process with data elements highlighted. 

diagram of reproducible research
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While the models represent the processes differently, most models consider the following main phases:

Provocation, Ideation, Design

  • Develop the research question
  • Develop and revise research plans
  • Collect preliminary literature and data from open data repositories
  • Develop data management plans
  • Pre-register research plans

Knowledge generation, Data Collection

  • Use tools compatible with open sharing, and use automated workflow tools to ensure accessibility of research outputs.
  • Collect data, using tools that automate formatting and curation tasks to ensure that digital datasets are interoperable and documented.
  • In the case of physical samples and specimens, such as rocks, ice core samples, or tissue samples, researchers develop concrete plans to archive these according to disciplinary best practices.

Analysis, validation

  • Document approaches to cleaning and preparing data for analysis in an electronic research notebook.
  • Prepare data and tools for reproducibility, reuse, and participate in replication studies.
  • Use open data techniques to analyze, interpret, and validate findings.
  • Present their preliminary findings at conferences and refine their methods based on relevant comments and critiques
  • Deposit an initial working paper in a preprint server and revise the paper based on the open peer review 
  • Prepare data in standard formats according to disciplinary standards and describe both data and analytical code in optimal ways for reuse and replication.

Publishing, Dissemination

  • Select the best venue for open publications, including articles, data, code, and other research products
  • Select a public copyright license, such as the GNU General Public License for software or a Creative Commons license for other
    works, including scholarly articles
  • deposit the final peer reviewed articles in an openly accessible archive as required by their research funders

Preserve, Archive

  • Deposit research outputs in FAIR archives and trusted repositories to ensure long-term access to research results.
  • Deposit research data and software in one or more data archives, with clear and persistent links among the article, data, and software.