William DeHoogh via Unsplash

PEST-CHEMGRIDS, global gridded maps of the top 20 crop-specific pesticide application rates from 2015 to 2025

Latest Research

News & Comment

  • 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.
  • Comment
    | Open Access

    The number of chemical compounds and associated experimental data in public databases is growing, but presently there is no simple way to access these data in a quick and synoptic manner. Instead, data are fragmented across different resources and interested parties need to invest invaluable time and effort to navigate these systems.

    • Sten Ilmjärv
    • , Fiona Augsburger
    • , Jerven Tjalling Bolleman
    • , Robin Liechti
    • , Alan James Bridge
    • , Jenny Sandström
    • , Vincent Jaquet
    • , Ioannis Xenarios
    •  & Karl-Heinz Krause

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.
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