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Data sets produced in the course of research and shared informally between researchers such as by posting to a website or portal but without preservation capability or commitment. Typically the data remains in the hands of the researchers who have the job of maintaining it. |
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Group: Research Outputs |
Trend: New Entry |
Consensus Decision |
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Added to List: 2019 |
Last update: New Entry |
Previous category: New Entry |
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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 major effort to prevent losses in this group, such as the development of new preservation tools or techniques. |
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Examples Departmental webservers; project wikis; GitHub repositories |
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‘Critically Endangered’ in the Presence of Aggravating Conditions Originating researcher no longer active or changed research focus; staff on temporary contracts; dependence on single student or staff member; weak or fluid institutional commitment to subject matter; weak institutional commitment to data sharing; complicated or contested intellectual property; encryption; limited or dysfunctional data management planning. |
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Vulnerable in the Presence of Good Practice Data in preparation for transfer to specialist repository; robust data management planning; documented and managed professionally; |
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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 represents ‘self-help’ data sharing which is to be encouraged as a means to facilitate open science but shouldn’t be confused with long-term preservation. |
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Additional Jury Comments Research data is complex and has specific requirements for documentation which may only be known to subject matter experts. However, data creators are not necessarily well placed to sustain data in the long term. |
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