Endangered large

Closed research data sets produced and documented in accordance with good practice and simply appended to a journal article or transferred to a repository which does not have sufficient subject-matter expertise or funding commitment to ensure reliable or ongoing preservation for the long term.

Group: Research Outputs

Trend: New Entry

Consensus Decision

Added to List: 2019

Last update: 2019

Previous category: New Entry

Imminence of Action

Action is recommended within five years, detailed assessment within three years.

Significance of Loss

The loss of tools, data or services within this group would impact on people and sectors around the world.

Effort to Preserve

It would require a small effort to prevent losses in this group, such as the deployment of proven preservation tools or techniques.

Examples

Data sets added to papers in repositories that are designed primarily for papers; electronic journals offering data sets without obvious preservation capacity; institutional repositories servicing highly complex scientific data sets with insufficient subject-matter expertise.

‘Critically Endangered’ in the Presence of Aggravating Conditions

Unstable funding or revenues; poorly designed migration or normalization processes; poorly formed ingest and quality assurance procedures; rapid churn of staff; incoherent patterns of subject matter; lack of domain knowledge; no or very small numbers of users; weak or absent collecting policy; deposit to ensure minimal compliance with funder mandate; limited or dysfunctional data management planning.

‘Vulnerable’ in the Presence of Good Practice

Clear preservation planning; repository development roadmap; ability to transfer collections or share metadata with subject repositories or portals; strong user base; demonstrable re-use of data; clear collecting policy; data management planning early in data lifecycle.

2019 Review

Research data has been an entry in the BitList since 2017 so the Jury this year has tried to spell out the different complexities that arise in the preservation of research outputs more generally. This entry draws attention to services which take upon themselves commitments to preserve research data, but which may not be able to deliver those promises through lack of capability.

Additional Jury Comments

Research data is complex and has specific requirements for documentation which may only be known to subject matter experts. However well intended, it is risky for institutions to attempt to replicate that level of expertise across all the domains within the institution, and it can be hard for smaller publishers to make commitments to sustain data in the long term.


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