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Module 2

Active research: process, collect, store and document data

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Train the Trainer Course

1. Planning: doing research in the SSH OS landscape

2. Active research: collect, process, store and document data

3. Dissemination and preservation of research

4. Planning: access and reuse

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Today’s focus

1. Planning: doing research in the SSH OS landscape

2. Active research: collect, process, store and document data

3. Dissemination and preservation of research

4. Planning: access and reuse

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Learning Objectives

Identify different types and standards of metadata

Select relevant open file formats

Manage sensitive data to ensure privacy and compliance with relevant national or international regulations

Apply open licenses and Data Usage rights

Apply best practices for storing data securely and efficiently

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Module 2

Active research: identify different types of metadata

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Learning Objectives

Identify different types and standards of metadata

Select relevant open file formats

Manage sensitive data to ensure privacy and compliance with relevant national or international regulations

Apply open licenses and Data Usage rights

Apply best practices for storing data securely and efficiently

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Content

  • Metadata
    • Types of Metadata
    • Metadata Standards

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Describe the current policy landscape that shapes knowledge production

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Metadata

”Data will remain ‘dark matter’ in Scholarly Communication unless they are described, curated, and made discoverable”

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- Borgman, 2015

Big data, little data, no data: scholarship in the networked world

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    • In the most simplified definition, it is data about data.

Name Surname | Event | Date

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Types of metadata

Name Surname | Event | Date

Administrative

Descriptive

Structural

Managing a resource

Describing a resource

Provenance of a resource

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Administratrive

Name Surname | Event | Date

Image source: D.B. Deutz, M.C.H. Buss, J. S. Hansen, K. K. Hansen, K.G. Kjelmann, A.V. Larsen, E. Vlachos, K.F. Holmstrand (2020). How to FAIR: a Danish website to guide researchers on making research data more FAIR

https://doi.org/10.5281/zenodo.3712065 - CC BY 4.0

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Descriptive

Name Surname | Event | Date

Image source: D.B. Deutz, M.C.H. Buss, J. S. Hansen, K. K. Hansen, K.G. Kjelmann, A.V. Larsen, E. Vlachos, K.F. Holmstrand (2020). How to FAIR: a Danish website to guide researchers on making research data more FAIR

https://doi.org/10.5281/zenodo.3712065 - CC BY 4.0

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Name Surname | Event | Date

Structural

Image source: D.B. Deutz, M.C.H. Buss, J. S. Hansen, K. K. Hansen, K.G. Kjelmann, A.V. Larsen, E. Vlachos, K.F. Holmstrand (2020). How to FAIR: a Danish website to guide researchers on making research data more FAIR

https://doi.org/10.5281/zenodo.3712065 - CC BY 4.0

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Metadata Standards

Name Surname | Event | Date

Humanities

Encoded Archival Description

Text Encoding Initiative

Data Documentation Initiative

Machine-Readable Cataloging

MIDAS-Heritage

Open Archives Initiatives - Object Reuse and Exchange

RO-Crate

Social & Behavioural Sciences

Data Documentation Initiative

MIDAS-Heritage

Open Archives Initiatives - Object Reuse and Exchange

Qualitative Data Exchange Format

Statistic Data and Metadata Exchange

Generic

Common European Research Information Format

DataCite Metadata Schema

Dublin Core

Metadata Object Description Schema

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Metadata Transcription Template

Name Surname | Event | Date

Template can be found here: https://dans.knaw.nl/en/depositing-data-manual/before-depositing_ds/

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Metadata Transcription Template

Name Surname | Event | Date

Template can be found here: https://dans.knaw.nl/en/depositing-data-manual/before-depositing_ds/

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Social and Behavioural Sciences

    • Describe the variable and value labels.
    • Describe the questionnaires and/or other research tools.
    • Include the fieldwork report (if available).
    • Include a codebook: a description of variables and information about population, types of data (units of observation/analysis), sample procedure, response/non-response, data collection method, weighting variables, constructed and/or derived variables.
    • Ensure that the language of the variable labels and value labels correspond to the language of the rest of the dataset. 

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Name Surname | Event | Date

Template can be found here: https://dans.knaw.nl/en/depositing-data-manual/before-depositing_ds/

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Dublin Core

  • Focus on Digital Resources
  • 15 Metadata core elements
  • Content – Intellectural Property – Instantiation
  • Aim is to be simple and generic
  • Quite often found in Insitutional Repositories

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Name Surname | Event | Date

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DC - Examples

Name Surname | Event | Date

https://repository.dri.ie/catalog/tq582c863

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DataCite

  • Focus on Persistent identifiers, and making data citable, shareable
  • It is used for data and research materials
  • Mandatory, Recommended and Optional fields
  • Standards develops over time with new versions
  • Zenodo has adopted a version of DataCite

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Name Surname | Event | Date

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DataCite – Zenodo Example

Name Surname | Event | Date

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Discussion

What kind of challenges do you face when working with metadata?

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[Link to a document where participants can make collaborative notes]

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Thank you!�Questions?

[Trainer’s email address]