Persistent Identifiers for Scholarly Assets and the Web: The Need for an Unambiguous Mapping

Sompel, Herbert Van de; Sanderson, Robert; Shankar, Harihar; Klein, Martin

doi:10.2218/ijdc.v9i1.320

Cited by 12 publications

(7 citation statements)

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“…Although the topic of when and how to version data is of great interest, use cases vary and consensus is elusive. Other groups have discussed change management consideration and “ ” in more depth [ 2 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

McMurry

Juty

Blomberg³

et al. 2017

PLoS Biol

125

103

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In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the design, provision and reuse of identifiers. We also outline the important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

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Section: Introductionmentioning

confidence: 99%

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

McMurry

Juty

Blomberg³

et al. 2017

PLoS Biol

125

103

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show abstract

“…The proposed logging system of the LensIDs maintains the PID paradigm described earlier (Van de Sompel et al, 2014), however, like others who have recognised the need for a more decentralized management approach for persistent identifiers (Bolikowski et al, 2015), the new Lens MetaRecord concept proposes the use of identifiers as aggregators of contextual knowledge artefacts around an entity. The Lens has demonstrated its use for patent and a scholarly work records and will apply it in the near future to humans and legal entities.…”

Section: Resultsmentioning

confidence: 99%

The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts

Jefferson¹,

Koellhofer²,

Warren³

et al. 2019

Preprint

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Ambiguity is inherent in the digital records of entities such as patents, scholarly works, human names, or institutions. While we have made some progress to preserve each entity’s one to one relationship using open persistent identifiers, in this contribution, we show how the Lens has used the MetaRecord (MeR) concept along with the open LensID identifier to begin mapping the one to many relationships among these data elements, disambiguating name variants, and organizing contextual metadata.

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“…Maintaining mappings between identifier versions without use of the dot is possible, but so difficult that few providers do it well. Other groups have discussed change management consideration and 'content drift' in more depth [2,24,25] .…”

Section: Lesson 6 Implement a Version-management Policymentioning

confidence: 99%

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

McMurry

Juty

Blomberg

et al. 2017

Preprint

View full text Add to dashboard Cite

In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the design, provision and reuse of identifiers; we also outline important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

show abstract

Persistent Identifiers for Scholarly Assets and the Web: The Need for an Unambiguous Mapping

Cited by 12 publications

References 0 publications

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts

Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

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