Data sharing: An open mind on open data

Gewin, Virginia

doi:10.1038/nj7584-117a

Cited by 197 publications

(180 citation statements)

References 3 publications

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“…While some of the publications focus on specific aspects such as data (Gewin, 2016), code (Stodden & Miguez, 2014), workflow semantics (Scheider, Ostermann & Adams, 2017), and results (Sandve et al, 2013), others provide an all-embracing set of research instructions (Stodden et al, 2016; Nosek et al, 2015; Gil et al, 2016). …”

Section: Methodsmentioning

confidence: 99%

Reproducible research and GIScience: an evaluation using AGILE conference papers

Nüst

Granell

Hofer

et al. 2018

PeerJ

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The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geographic information science (GIScience). Using this criteria, we assessed a sample of GIScience studies from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, and we collected feedback about the assessment from the study authors. Results from the author feedback indicate that although authors support the concept of performing reproducible research, the incentives for doing this in practice are too small. Therefore, we propose concrete actions for individual researchers and the GIScience conference series to improve transparency and reproducibility. For example, to support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats.

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Section: Methodsmentioning

confidence: 99%

Reproducible research and GIScience: an evaluation using AGILE conference papers

Nüst

Granell

Hofer

et al. 2018

PeerJ

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“…A new tendency in scientific research is to share the data, sources and codes to the public [209][210][211]. With data sharing, the validity and repeatability of the analysis and interpretation can be tested by different institutes and personnel [212][213][214][215][216].…”

Section: Summary and Future Prospectsmentioning

confidence: 99%

“…With data sharing, the validity and repeatability of the analysis and interpretation can be tested by different institutes and personnel [212][213][214][215][216]. "Open science, data sharing, software sharing is the future of science", Carly Strasser says [209]. For SPI, this concept has also been accepted and will be extended to a wider range [217][218][219][220].…”

Section: Summary and Future Prospectsmentioning

confidence: 99%

Current Status of Single Particle Imaging with X-ray Lasers

Sun

Fan

et al. 2018

Applied Sciences

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Abstract:The advent of ultrafast X-ray free-electron lasers (XFELs) opens the tantalizing possibility of the atomic-resolution imaging of reproducible objects such as viruses, nanoparticles, single molecules, clusters, and perhaps biological cells, achieving a resolution for single particle imaging better than a few tens of nanometers. Improving upon this is a significant challenge which has been the focus of a global single particle imaging (SPI) initiative launched in December 2014 at the Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, USA. A roadmap was outlined, and significant multi-disciplinary effort has since been devoted to work on the technical challenges of SPI such as radiation damage, beam characterization, beamline instrumentation and optics, sample preparation and delivery and algorithm development at multiple institutions involved in the SPI initiative. Currently, the SPI initiative has achieved 3D imaging of rice dwarf virus (RDV) and coliphage PR772 viruses at~10 nm resolution by using soft X-ray FEL pulses at the Atomic Molecular and Optical (AMO) instrument of LCLS. Meanwhile, diffraction patterns with signal above noise up to the corner of the detector with a resolution of~6 Ångström (Å) were also recorded with hard X-rays at the Coherent X-ray Imaging (CXI) instrument, also at LCLS. Achieving atomic resolution is truly a grand challenge and there is still a long way to go in light of recent developments in electron microscopy. However, the potential for studying dynamics at physiological conditions and capturing ultrafast biological, chemical and physical processes represents a tremendous potential application, attracting continued interest in pursuing further method development. In this paper, we give a brief introduction of SPI developments and look ahead to further method development.

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“…This is essential to enable other researchers to check previous conclusions and build upon them. There are different strategies promoting the adoption of these best practices recommended, for example publishing data into repositories like FigShare or Zenodo [40], or as supplement to a publication or publishing data itself in so called 'Data journals' [41].…”

Section: Transparency and Consistencymentioning

confidence: 99%