Kelley Bozarth via Unsplash

PalmTraits 1.0, a species-level functional trait database of palms worldwide

Latest Research

  • Data Descriptor
    | Open Access

    • Dmitry Schepaschenko
    • , Jérôme Chave
    • , Oliver L. Phillips
    • , Simon L. Lewis
    • , Stuart J. Davies
    • , Maxime Réjou-Méchain
    • , Plinio Sist
    • , Klaus Scipal
    • , Christoph Perger
    • , Bruno Herault
    • , Nicolas Labrière
    • , Florian Hofhansl
    • , Kofi Affum-Baffoe
    • , Alexei Aleinikov
    • , Alfonso Alonso
    • , Christian Amani
    • , Alejandro Araujo-Murakami
    • , John Armston
    • , Luzmila Arroyo
    • , Nataly Ascarrunz
    • , Celso Azevedo
    • , Timothy Baker
    • , Radomir Bałazy
    • , Caroline Bedeau
    • , Nicholas Berry
    • , Andrii M. Bilous
    • , Svitlana Yu. Bilous
    • , Pulchérie Bissiengou
    • , Lilian Blanc
    • , Kapitolina S. Bobkova
    • , Tatyana Braslavskaya
    • , Roel Brienen
    • , David F. R. P. Burslem
    • , Richard Condit
    • , Aida Cuni-Sanchez
    • , Dilshad Danilina
    • , Dennis del Castillo Torres
    • , Géraldine Derroire
    • , Laurent Descroix
    • , Eleneide Doff Sotta
    • , Marcus V. N. d’Oliveira
    • , Christopher Dresel
    • , Terry Erwin
    • , Mikhail D. Evdokimenko
    • , Jan Falck
    • , Ted R. Feldpausch
    • , Ernest G. Foli
    • , Robin Foster
    • , Steffen Fritz
    • , Antonio Damian Garcia-Abril
    • , Aleksey Gornov
    • , Maria Gornova
    • , Ernest Gothard-Bassébé
    • , Sylvie Gourlet-Fleury
    • , Marcelino Guedes
    • , Keith C. Hamer
    • , Farida Herry Susanty
    • , Niro Higuchi
    • , Eurídice N. Honorio Coronado
    • , Wannes Hubau
    • , Stephen Hubbell
    • , Ulrik Ilstedt
    • , Viktor V. Ivanov
    • , Milton Kanashiro
    • , Anders Karlsson
    • , Viktor N. Karminov
    • , Timothy Killeen
    • , Jean-Claude Konan Koffi
    • , Maria Konovalova
    • , Florian Kraxner
    • , Jan Krejza
    • , Haruni Krisnawati
    • , Leonid V. Krivobokov
    • , Mikhail A. Kuznetsov
    • , Ivan Lakyda
    • , Petro I. Lakyda
    • , Juan Carlos Licona
    • , Richard M. Lucas
    • , Natalia Lukina
    • , Daniel Lussetti
    • , Yadvinder Malhi
    • , José Antonio Manzanera
    • , Beatriz Marimon
    • , Ben Hur Marimon Junior
    • , Rodolfo Vasquez Martinez
    • , Olga V. Martynenko
    • , Maksym Matsala
    • , Raisa K. Matyashuk
    • , Lucas Mazzei
    • , Hervé Memiaghe
    • , Casimiro Mendoza
    • , Abel Monteagudo Mendoza
    • , Olga V. Moroziuk
    • , Liudmila Mukhortova
    • , Samsudin Musa
    • , Dina I. Nazimova
    • , Toshinori Okuda
    • , Luis Claudio Oliveira
    • , Petr V. Ontikov
    • , Andrey F. Osipov
    • , Stephan Pietsch
    • , Maureen Playfair
    • , John Poulsen
    • , Vladimir G. Radchenko
    • , Kenneth Rodney
    • , Andes H. Rozak
    • , Ademir Ruschel
    • , Ervan Rutishauser
    • , Linda See
    • , Maria Shchepashchenko
    • , Nikolay Shevchenko
    • , Anatoly Shvidenko
    • , Marcos Silveira
    • , James Singh
    • , Bonaventure Sonké
    • , Cintia Souza
    • , Krzysztof Stereńczak
    • , Leonid Stonozhenko
    • , Martin J P Sullivan
    • , Justyna Szatniewska
    • , Hermann Taedoumg
    • , Hans ter Steege
    • , Elena Tikhonova
    • , Marisol Toledo
    • , Olga V. Trefilova
    • , Ruben Valbuena
    • , Luis Valenzuela Gamarra
    • , Sergey Vasiliev
    • , Estella F. Vedrova
    • , Sergey V. Verhovets
    • , Edson Vidal
    • , Nadezhda A. Vladimirova
    • , Jason Vleminckx
    • , Vincent A. Vos
    • , Foma K. Vozmitel
    • , Wolfgang Wanek
    • , Thales A. P. West
    • , Hannsjorg Woell
    • , John T. Woods
    • , Verginia Wortel
    • , Toshihiro Yamada
    • , Zamah Shari Nur Hajar
    •  & Irié Casimir Zo-Bi

News & Comment

  • Comment
    | Open Access

    UniProt continues to support the ongoing process of making scientific data FAIR. Here we contribute to this process with a FAIRness assessment of our UniProtKB dataset followed by a critical reflection on the challenges and future directions of the adoption and validation of the FAIR principles and metrics.

    • Leyla Garcia
    • , Jerven Bolleman
    • , Sebastien Gehant
    • , Nicole Redaschi
    • , Maria Martin
    • , Alex Bateman
    • , Michele Magrane
    • , Maria Martin
    • , Sandra Orchard
    • , Shriya Raj
    • , Shadab Ahmad
    • , Emanuele Alpi
    • , Emily Bowler
    • , Ramona Britto
    • , Borisas Bursteinas
    • , Hema Bye-A-Jee
    • , Tunca Dogan
    • , Leyla Garcia
    • , Penelope Garmiri
    • , George Georghiou
    • , Leonardo Gonzales
    • , Emma Hatton-Ellis
    • , Alexandr Ignatchenko
    • , Giuseppe Insana
    • , Rizwan Ishtiaq
    • , Vishal Joshi
    • , Dushyanth Jyothi
    • , Jie Luo
    • , Yvonne Lussi
    • , Alistair MacDougall
    • , Mahdi Mahmoudy
    • , Andrew Nightingale
    • , Carla Oliveira
    • , Joseph Onwubiko
    • , Vivek Poddar
    • , Sangya Pundir
    • , Guoying Qi
    • , Ahmet Rifaioglu
    • , Daniel Rice
    • , Rabie Saidi
    • , Elena Speretta
    • , Edward Turner
    • , Nidhi Tyagi
    • , Preethi Vasudev
    • , Vladimir Volynkin
    • , Kate Warner
    • , Xavier Watkins
    • , Rossana Zaru
    • , Hermann Zellner
    • , Alan Bridge
    • , Lionel Breuza
    • , Elisabeth Coudert
    • , Damien Lieberherr
    • , Ivo Pedruzzi
    • , Sylvain Poux
    • , Manuela Pruess
    • , Nicole Redaschi
    • , Lucila Aimo
    • , Ghislaine Argoud-Puy
    • , Andrea Auchincloss
    • , Kristian Axelsen
    • , Parit Bansal
    • , Delphine Baratin
    • , Teresa Batista Neto
    • , Marie-Claude Blatter
    • , Jerven Bolleman
    • , Emmanuel Boutet
    • , Cristina Casals-Casas
    • , Beatrice Cuche
    • , Edouard De Castro
    • , Anne Estreicher
    • , Livia Famiglietti
    • , Marc Feuermann
    • , Elisabeth Gasteiger
    • , Sebastien Gehant
    • , Vivienne Gerritsen
    • , Arnaud Gos
    • , Nadine Gruaz
    • , Ursula Hinz
    • , Chantal Hulo
    • , Nevila Hyka-Nouspikel
    • , Florence Jungo
    • , Arnaud Kerhornou
    • , Philippe Lemercier
    • , Thierry Lombardot
    • , Patrick Masson
    • , Anne Morgat
    • , Sandrine Pilbout
    • , Monica Pozzato
    • , Catherine Rivoire
    • , Christian Sigrist
    • , Shyamala Sundaram
    • , Cathy Wu
    • , Cecilia Arighi
    • , Hongzhan Huang
    • , Peter McGarvey
    • , Darren Natale
    • , Leslie Arminski
    • , Chuming Chen
    • , Yongxing Chen
    • , John Garavelli
    • , Kati Laiho
    • , Karen Ross
    • , C. R. Vinayaka
    • , Qinghua Wang
    • , Yuki Wang
    • , Lai-Su Yeh
    •  & Jian Zhang
  • Comment
    | Open Access

    The Brain Imaging Data Structure (BIDS) project is a rapidly evolving effort in the human brain imaging research community to create standards allowing researchers to readily organize and share study data within and between laboratories. Here we present an extension to BIDS for electroencephalography (EEG) data, EEG-BIDS, along with tools and references to a series of public EEG datasets organized using this new standard.

    • Cyril R. Pernet
    • , Stefan Appelhoff
    • , Krzysztof J. Gorgolewski
    • , Guillaume Flandin
    • , Christophe Phillips
    • , Arnaud Delorme
    •  & Robert Oostenveld
  • Comment
    | Open Access

    The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.

    • Christopher Holdgraf
    • , Stefan Appelhoff
    • , Stephan Bickel
    • , Kristofer Bouchard
    • , Sasha D’Ambrosio
    • , Olivier David
    • , Orrin Devinsky
    • , Benjamin Dichter
    • , Adeen Flinker
    • , Brett L. Foster
    • , Krzysztof J. Gorgolewski
    • , Iris Groen
    • , David Groppe
    • , Aysegul Gunduz
    • , Liberty Hamilton
    • , Christopher J. Honey
    • , Mainak Jas
    • , Robert Knight
    • , Jean-Philippe Lachaux
    • , Jonathan C. Lau
    • , Christopher Lee-Messer
    • , Brian N. Lundstrom
    • , Kai J. Miller
    • , Jeffrey G. Ojemann
    • , Robert Oostenveld
    • , Natalia Petridou
    • , Gio Piantoni
    • , Andrea Pigorini
    • , Nader Pouratian
    • , Nick F. Ramsey
    • , Arjen Stolk
    • , Nicole C. Swann
    • , François Tadel
    • , Bradley Voytek
    • , Brian A. Wandell
    • , Jonathan Winawer
    • , Kirstie Whitaker
    • , Lyuba Zehl
    •  & Dora Hermes
  • Comment
    | Open Access

    Although increasingly recognized as critical to genomic research, genomic data sharing is hindered by an absence of standards regarding timing, patient privacy, use agreement standards, and data characterization and quality. Only after months of identifying, permissioning for use, committing to terms restricting use and sharing, downloading, and assessing quality, is it possible to know whether or not a dataset can be used. In this paper, we evaluate the barriers to data sharing based on the Treehouse experience and offer recommendations for use agreement standards, data characterization and metadata standardization to enhance data sharing and outcomes for all pediatric cancer patients.

    • Katrina Learned
    • , Ann Durbin
    • , Robert Currie
    • , Ellen Towle Kephart
    • , Holly C. Beale
    • , Lauren M. Sanders
    • , Jacob Pfeil
    • , Theodore C. Goldstein
    • , Sofie R. Salama
    • , David Haussler
    • , Olena Morozova Vaske
    •  & Isabel M. Bjork
  • Editorial
    | Open Access

    Scientific Data published its first batch of papers five years ago this week. Here, we reflect on our progress and thank all those that have helped us along the way.

  • Comment
    | Open Access

    There is an urgent need to improve integrity of large industrial infrastructure. Sharing data can support better understanding of accidents such as recent mining dam collapses, making them less likely to occur, and contributing to sustainability.

    • Paulo A. de Souza Jr.

Collection

Metadata Quality

xresch via Pixabay

Metadata Quality

Metadata, data about data, are an essential component of any data sharing system. They power discovery and bind together related datasets. They provide essential context, describing, for example, who generated a dataset and how. The papers in this collection explore and critically analyze issues related to the quality and FAIRness of metadata in public resources. Collectively, these works highlight obstacles, both technical and behavioural, that affect metadata quality, and propose possible solutions. They also shine a light on the important, but often underappreciated, role of data curators and research data managers.
  • This journal is a member of and subscribes to the principles of the Committee on Publication Ethics.

    Committee on Publication Ethics