Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27189610
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27189610
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Database+(Oxford)
2016 ; 2016
(ä): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
BioSharing: curated and crowd-sourced metadata standards, databases and data
policies in the life sciences
#MMPMID27189610
McQuilton P
; Gonzalez-Beltran A
; Rocca-Serra P
; Thurston M
; Lister A
; Maguire E
; Sansone SA
Database (Oxford)
2016[]; 2016
(ä): ä PMID27189610
show ga
BioSharing (http://www.biosharing.org) is a manually curated, searchable portal
of three linked registries. These resources cover standards (terminologies,
formats and models, and reporting guidelines), databases, and data policies in
the life sciences, broadly encompassing the biological, environmental and
biomedical sciences. Launched in 2011 and built by the same core team as the
successful MIBBI portal, BioSharing harnesses community curation to collate and
cross-reference resources across the life sciences from around the world.
BioSharing makes these resources findable and accessible (the core of the FAIR
principle). Every record is designed to be interlinked, providing a detailed
description not only on the resource itself, but also on its relations with other
life science infrastructures. Serving a variety of stakeholders, BioSharing
cultivates a growing community, to which it offers diverse benefits. It is a
resource for funding bodies and journal publishers to navigate the metadata
landscape of the biological sciences; an educational resource for librarians and
information advisors; a publicising platform for standard and database
developers/curators; and a research tool for bench and computer scientists to
plan their work. BioSharing is working with an increasing number of journals and
other registries, for example linking standards and databases to training
material and tools. Driven by an international Advisory Board, the BioSharing
user-base has grown by over 40% (by unique IP address), in the last year thanks
to successful engagement with researchers, publishers, librarians, developers and
other stakeholders via several routes, including a joint RDA/Force11 working
group and a collaboration with the International Society for Biocuration. In this
article, we describe BioSharing, with a particular focus on community-led
curation.Database URL: https://www.biosharing.org.