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Contents

  • Objectives
  • Exercises
  • Slides
  • Resources
    • Data Publication Guidance
    • Repository Directories
    • Publisher Recommendations
    • Licensing Resources
    • Legal and Ethical Considerations
    • Persistent Identifiers
    • Training Materials

Data Publication

Starts at:

Friday, 14:00

Objectives

💡 You understand the importance of data publication for FAIR research data management.
💡 You can write Data Availability Statements for research articles.
💡 You know how to choose appropriate licenses for research data.
💡 You understand the role of persistent identifiers in ensuring reliable data access.
💡 You can select suitable repositories for different types of research data.
💡 You are aware of legal considerations when publishing research data.

Exercises

NoteExercise 1: Data Availability Statement Analysis

Exercise 1: Data Availability Statement Analysis

Task: Examine published research articles and analyze their Data Availability Statements.

Instructions:

  1. Find 2-3 research articles from your field published in the last 2 years
  2. Look for Data Availability Statements in each article
  3. For each article, answer:
    • Does it include a Data Availability Statement?
    • If yes, where is it located in the article?
    • Does it provide clear information about how to access the data?
    • Are any restrictions or conditions mentioned?
    • Is the data actually accessible through the provided link/information?

Discussion: What makes a good vs. poor Data Availability Statement?

NoteExercise 2: Repository Selection

Exercise 2: Repository Selection

Task: Find and evaluate repositories for your research data.

Instructions:

  1. Visit re3data.org
  2. Search for repositories relevant to your research field
  3. Select 2-3 repositories and evaluate them based on:
    • Does it assign DOIs?
    • What file size limits exist?
    • What access control options are available?
    • Is it recognized in your research community?
    • What are the costs (if any)?
    • Does it support your preferred license?
NoteExercise 3: Create Your Data Publication Plan

Exercise 3: Create Your Data Publication Plan

Task: Develop a data publication plan for your current or planned research.

Components to address:

  1. What data will you publish? (consider legal and ethical constraints)
  2. Which repository will you use? (justify your choice)
  3. What license will you apply? (explain your reasoning)
  4. How will you link your data to publications?
  5. What documentation will you provide?
  6. When will you publish the data? (consider embargoes, journal requirements)

Slides

NoteHow can I download the slides as a PDF file?

To export the slides to PDF, do the following:

  1. Toggle into Print View using the E key (or using the Navigation Menu).
  2. Open the in-browser print dialog (CTRL/CMD+P).
  3. Change the Destination setting to Save as PDF.
  4. Change the Layout to Landscape.
  5. Change the Margins to None.
  6. Enable the Background graphics option.
  7. Click Save.

Note: This feature has been confirmed to work in Google Chrome, Chromium as well as in Firefox.

Here’s what the Chrome print dialog would look like with these settings enabled:

These instructions were copied from the Quarto documentation (MIT License) and slightly modified.

Resources

Data Publication Guidance

  • ARDC Guide to Choosing a Data Repository
  • DCC Checklist for Evaluating Data Repositories
  • How to License Research Data (DCC)

Repository Directories

  • re3data.org - Registry of Research Data Repositories
  • FAIRsharing - Database of data standards, repositories and policies

Publisher Recommendations

  • PLOS ONE Recommended Repositories
  • Springer Nature Data Repository Guidance
  • Elsevier Public Repositories List

Licensing Resources

  • Creative Commons License Chooser
  • Open Data Commons Licenses
  • Licensing Research Data (Brettschneider et al., 2021) [German]

Legal and Ethical Considerations

  • Data Publication Decision Tree [German]
  • Cambridge Data Availability Statements Guide
  • Open Research Summer School: Data Anonymity by Felix Schönbrodt

Persistent Identifiers

  • DOI.org - Digital Object Identifier System
  • ORCID - Open Researcher and Contributor ID
  • ROR - Research Organization Registry

Training Materials

  • TU Delft Open Science MOOC
  • Research Data Management and Sharing (Coursera)
  • The Turing Way: Research Data Management

© 2026 Dr. Lennart Wittkuhn

 

License: CC BY 4.0