Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: McMurry JA 

PROVIDER: S-EPMC5490878 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

McMurry Julie A JA   Juty Nick N   Blomberg Niklas N   Burdett Tony T   Conlin Tom T   Conte Nathalie N   Courtot Mélanie M   Deck John J   Dumontier Michel M   Fellows Donal K DK   Gonzalez-Beltran Alejandra A   Gormanns Philipp P   Grethe Jeffrey J   Hastings Janna J   Hériché Jean-Karim JK   Hermjakob Henning H   Ison Jon C JC   Jimenez Rafael C RC   Jupp Simon S   Kunze John J   Laibe Camille C   Le Novère Nicolas N   Malone James J   Martin Maria Jesus MJ   McEntyre Johanna R JR   Morris Chris C   Muilu Juha J   Müller Wolfgang W   Rocca-Serra Philippe P   Sansone Susanna-Assunta SA   Sariyar Murat M   Snoep Jacky L JL   Soiland-Reyes Stian S   Stanford Natalie J NJ   Swainston Neil N   Washington Nicole N   Williams Alan R AR   Wimalaratne Sarala M SM   Winfree Lilly M LM   Wolstencroft Katherine K   Goble Carole C   Mungall Christopher J CJ   Haendel Melissa A MA   Parkinson Helen H  

PLoS biology 20170629 6


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 fa  ...[more]

Similar Datasets

| S-EPMC5578455 | biostudies-literature
| S-EPMC10835045 | biostudies-literature
| S-EPMC9742341 | biostudies-literature
| S-EPMC7277910 | biostudies-literature
| S-EPMC1420684 | biostudies-literature
| S-EPMC3178397 | biostudies-literature
| S-EPMC3539946 | biostudies-literature
| S-EPMC8126645 | biostudies-literature
| S-EPMC2154407 | biostudies-literature
| S-EPMC6829555 | biostudies-literature