Research Guides: Open Data: Data in the Open Science Workflow

Helpful guides for the Data Research Process

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

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While the models represent the processes differently, most models consider the following main phases:

Provocation, Ideation, Design

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.