FAIR vs open data/science

Overview

    | Option A: Zenodo                            | A massive, free global
    generalist repository hosted by CERN. It assigns an automatic DOI and
    allows anyone to upload anything instantly. It has a "Restricted Access"
    feature where you can post the metadata openly but keep the files hidden
    unless you manually approve a user's request.             |

    | Option B: DataverseNL                       | A secure,
    institutional/national repository network used by Dutch universities. It
    offers dedicated, long-term curation support, lets you publish metadata
    seamlessly, and provides built-in, highly structured "restricted data"
    workflows that comply strictly with European institutional guidelines. |

    | Option C: Qualitative Data Repository (QDR) | A domain-specific
    repository explicitly designed for archiving qualitative and
    multi-method social science data. It specializes in digital security
    protocols for sensitive interview transcripts and human participant
    data, offering expert review of metadata before it goes
    live.                    |


    * **Debriefing choices:** 


    When the groups make their choice and present their arguments, there
    isn't one single "perfect" answer, but there are distinct advantages
    they should **explain**:


    * **If they choose DataverseNL:** This is an excellent choice if Dr.
    Alcaraz is based at a Dutch institution. It ensures local institutional
    compliance, provides institutional backing, and has reliable
    infrastructure for restricted-access metadata.

    * **If they choose QDR (Domain-Specific):** This is technically the
    **Gold Standard** according to the repository selection hierarchy
    (*domain-specific first*). Because QDR specializes in qualitative data,
    their curators will actually look at the metadata to ensure no
    identifying information about the children accidentally slipped into the
    abstract or project description.

    * **If they choose Zenodo:** While highly accessible and great for rapid
    DOI generation, it is a generalist repository. It lacks the
    human-curated oversight that a highly sensitive project involving minors
    might require to prevent accidental data leaks in the public text
    fields.
  time: '20'
  type: Case Study
  level: intermediate
- learning_outcome: 4
  activities: >-
    **Exercise:** 


    **Explaining the Challenges of Making data Open**


    Project a fake, high-risk research snippet on your Mentimeter screen.
    Tell the students:  (e.g.) You want to share this raw study dataset
    openly on GitHub today. Look at the text—which details are a massive
    legal or ethical hazard if published?


    **2.The Mentimeter Vote:** 


    **Time 2 - 5 minutes**


    Have students select from a multiple-choice list or use a word cloud to
    flag the dangerous data points. Ask them to think about GDPR,
    Participant Privacy, and Intellectual Property .


    **3.The Peer Explanation Debrief:**  


    **Time** **5 - 10 minutes** 


    Turn to the class and ask: "Why can't we just use a simple 'Find and
    Replace' to delete the names and call it a day?" Have 2 or 3 students
    explain the hidden challenges of anonymization.
  time: '10'
  type: Open Discussion
  level: beginner   after: [] ---

Learning outcomes

1. 1

   Compare FAIR and open data

   Beginner Intermediate
2. 2

   Identify official university support channels and online repositories for open science inquiries.

   Beginner
3. 3

   Describe the benefits and challenges of open science

   Beginner
4. 4

   Explain the challenges of making data open

   Beginner
5. 5

   Choose a suitable repository to make data open

   Intermediate

Summary of tasks and actions

Materials and equipment

For participants

A computer or tablet for active research, repository exploration, and group activities.

For the trainer

A computer connected to a projector/display to present instructions and visual aids.

Sources and attribution

1. FOSTER. Open Science Training Handbook: Readme. [Internet] GitBook; 2018.