Asset Details

MbrlCatalogueTitleDetail

Do you wish to reserve the book?

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

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

in 21st century / Academic libraries / Accessibility / archives / Archives & records / BASIC BIOLOGICAL SCIENCES / Best practice / biodiversity / Bioinformatics / Biological Science Disciplines - methods / Biological Science Disciplines - statistics & numerical data / Biological Science Disciplines - trends / Biology and Life Sciences / Bricks / citation analysis / Colleges & universities / colon / Communication in science / Computational Biology - methods / Computational Biology - trends / Computer and Information Sciences / Computer science / Data bases / Data collection / Data integration / Data Mining - methods / Data Mining - statistics & numerical data / Data Mining - trends / Data science / Databases, Factual - statistics & numerical data / Databases, Factual - trends / Datasets / Digital curation / Ecology and Environmental Sciences / Epidemiology / Forecasting / Generators / Genomes / Genomics / Health informatics / Humans / Integration / Internet / Knowledge base / KNOWLEDGE MANAGEMENT AND PRESERVATION / Laboratories / Life sciences / Medicine and Health Sciences / Methods / Molecular biology / ontologies / Ontology / Referencing / Repositories / Research and Analysis Methods / Reuse / sequence databases / Social Sciences / Software / Software Design / syntax / World Wide Web

2017

Yes Please

Hey, we have placed the reservation for you!

By the way, why not check out events that you can attend while you pick your title.

Oops! Something went wrong.

Looks like we were not able to place the reservation. Kindly try again later.

Are you sure you want to remove the book from the shelf?

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

2017

Confirm

Do you wish to request the book?

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

2017

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy

How would you like to get it?

Submit

We have requested the book for you!

Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.

Oops! Something went wrong.

Looks like we were not able to place your request. Kindly try again later.

Journal Article

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

Laibe, Camille,

Stanford, Natalie J.,

Winfree, Lilly M.,

Jupp, Simon,

Martin, Maria Jesus,

Wimalaratne, Sarala M.,

Blomberg, Niklas,

Hériché, Jean-Karim,

Ison, Jon C.,

McEntyre, Johanna R.,

Gonzalez-Beltran, Alejandra,

Gormanns, Philipp,

Sansone, Susanna-Assunta,

Morris, Chris,

McMurry, Julie A.,

Conlin, Tom,

Hastings, Janna,

Fellows, Donal K.,

Dumontier, Michel,

Le Novère, Nicolas,

Muilu, Juha,

Swainston, Neil,

Burdett, Tony,

Washington, Nicole,

Parkinson, Helen,

Courtot, Mélanie,

Deck, John,

Sariyar, Murat,

Soiland-Reyes, Stian,

Conte, Nathalie,

Mungall, Christopher J.,

Snoep, Jacky L.,

Rocca-Serra, Philippe,

Grethe, Jeffrey,

Williams, Alan R.,

Hermjakob, Henning,

Kunze, John,

Müller, Wolfgang,

Malone, James,

Goble, Carole,

Haendel, Melissa A.,

Jimenez, Rafael C.,

Wolstencroft, Katherine,

Juty, Nick

2017

Overview

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.

Share this book

Add to My Shelf

Publisher

Public Library of Science,Public Library of Science (PLoS)

Subject

/ BASIC BIOLOGICAL SCIENCES

/ Best practice