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Data Sharing and Long-Term Preservation

This work is licensed under Creative Commons Namensnennung 4.0 International Lizenz.

Astrid Recker

CESSDA Training at the Data Archive for the Social Sciences GESIS - Leibniz Institute for the Social Sciences

@CESSDA_Data

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The Data Spectrum

Image: Adapted from http://theodi.org/data-spectrum(Open Data Institute, cc-by)

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Degrees of Openness and Persistence

Private Research Domain

What is shared?Everything

Access for: Core research team

Time frame: Project duration

Measures: Active data

management, back-up and data security routines

Icons by RRZE Erlangen (CC-by-sa) https://github.com/RRZE-PP/rrze-icon-set

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Degrees of Openness and Persistence

Private Research Domain Shared Research Domain

What is shared?Everything

Access for: Core research team

Time frame: Project duration

Measures: Active data

management, back-up and data security routines

What is shared?Final /stable versions of data and documentation

Access for: Selected researchers outside core team during and after project (e.g. for replication)

Time frame: short to medium-term

Measures: Back-up and data security, access routines Metadata

Icons by RRZE Erlangen (CC-by-sa) https://github.com/RRZE-PP/rrze-icon-set

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Degrees of Openness and Persistence

Private Research Domain Shared Research Domain Publication Domain

Persistent Domain

What is shared?Everything

Access for: Core research team

Time frame: Project duration

Measures: Active data

management, back-up and data security routines

What is shared?Final /stable versions of data and documentation

Access for: Selected researchers outside core team during and after project (e.g. for replication)

Time frame: short to medium-term

Measures: Back-up and data security, access routines

What is shared?Final versions

Access for: research community, public

Time frame: medium- to long-term

Measures: Preservation and curation (“data archiving”)

Icons by RRZE Erlangen (CC-by-sa) https://github.com/RRZE-PP/rrze-icon-set

Metadata Metadata

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Archives in the

Research Process

Research

Study planning

Data collection Data analysis

Archiving &

registering

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We Keep Data Safe!

Image: www.digitalbevaring.dk(CC-by)

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We Keep Data Safe!

• Back-up and secure storage

• Long-term preservation

• Legal and ethical security

– for data producers

(IPR, licensing terms)

– for participants in research (data protection)

Image: www.digitalbevaring.dk(cc-by)

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We Make Data Accessible!

Image: www.digitalbevaring.dk(CC-by)

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We Make Data Accessible!

Image: www.digitalbevaring.dk(CC-by)

• Accessible formats

• Increased visibility in the world wide web (e.g. through machine-readable metadata)

• Persistent identification

• High-quality documentation

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We Offer Support!

Image: www.digitalbevaring.dk(CC-by)

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We Offer Support!

Image: www.digitalbevaring.dk(CC-by)

• We advise on

– documentation – metadata

– anonymization and data protection

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1. Identify a Suitable Archive or Repository

Possible selection criteria:

• data type and format

• discipline

• region or funder

• service and reputation Search tool:

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2. Contact the Archive as Early as

Possible

Find out

• if the archive is

interested in taking your data

• which criteria for submission apply

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3. Discuss When, How, and in Which Format the Data will be Submitted

Clarify access conditions, legal and ethical issues.

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4. Sign the Deposit Agreement

Contractual agreement clarifying rights and obligations of archive and data depositor as well as access conditions.

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5. Submit the Data

in the Agreed Format at the Agreed Time

Possible submission channels include

• upload,

• e-mail,

• secure file sharing service (e.g. Cryptshare).

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Conclusion: Sharing and Preservation

• Start thinking about this early

• Contact potential archives at the beginning of your research

• Pay specific attention to: informed consent and legal restrictions

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Wrap-up

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In conclusion…

… provided an introduction on RDM

– focused on the most important topics – gave an overview of relevant aspects

… hands-on DMP

– didn’t touched some of the sections – sometimes more a “to-do list”

than a documentation of your RDM

⇒ remember, as research is a dynamic process, the DMP needs to be frequently up-dated

Image: CC-0

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Perform an Adequate RDM

basic quality assurance replicability reusability

back-up strategy within the project

back-up strategy for storing data after the project (for 10 years)

plan submission to an archive for long-term preservation

data collection and versioning guidelines

standardization, e.g. by employing licensed scales minimal documentation, e.g.

sampling, variable and code labels

metadata to describe the entire research process

detailed documentation for reuse

legal / ethical issues: informed consent for use of data within the project

legal / ethical issues: data storage or making it accessible to others

legal / ethical issues: archiving and reuse (covered by

informed consent?) file formats that fulfill the

needs of the primary research group

file formats for keeping data &

documentation accessible for at least 10 years

file formats that facilitate data reuse in the future

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