External (left) and internal (right) collaboration patterns are presented here for Australasian Research Organisations (selected by top 20 ). Researchers are coloured by the field of research that they most commonly publish in, and sized by total number of journal articles that they have published (relative to the network). To create the networks, journal articles published between 2015 and 2018 were analysed.

If you want to find out more check out our interactive dashboard.

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The post What does New Zealand Research Look Like? appeared first on Digital Science.

Tackling this challenge together

Figshare

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Consultancy

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A Transparency SnapShot

Author awareness and compliance needed

To understand the adoption and impact of transparency guidelines the Ripeta team analysed the top 25 highest impact journals’ manuscripts from 2019. Their results indicate that even the most compliant journals failed to ensure that half of the authors included data availability statements. These results signal the need for better author awareness and improved methods for checking compliance.

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Helping to solve the Reproducibility Crisis

Reproducibility, Falsifiability and the Scientific Method

The report looks at the current state of reproducibility, as well as the importance of falsifiability in the research process.

Resources

The post Reproducibility By Design appeared first on Digital Science.

Expectations around reproducible research are clear, particularly in the area of computational research. A research paper is more than an account of the research that was undertaken; it is a narrative that surrounds an orchestration of research assets from the raw data and code to the processed data and visualisations that result. A paper should invite a reader to trace the results back. How was this figure produced? What was the code that produced that particular result? The reader’s transition from narrative to exploring data or code should be as easy as turning the page.

Seen from the researcher’s perspective, the ideal computational paper arises organically from the research – the data that is created is the data that ends up in the paper. The code as it is written is the code that can be accessed in the paper. As analysis bubbles up from research into images for publication, those images keep their providence back to the data, and back to the code that produced them.

How close are we to this ideal today? Within the Digital Science family, methods for openly publishing data are ably supported by Figshare. Overleaf allows researchers to easily publish their research collaboratively using LaTeX.  As part of a poster presentation for the 2019 VIVO conference we took a broad research question that could be answered with Dimensions data, and undertook the research using workflows that knit these tools together. In doing so, our project, documented in our white paper, demonstrates an approach to undertaking reproducible computational science that operates on multiple levels. Specifically, it addresses:

• How can data assets be structured and organised throughout the life of a project inside Figshare (and not just at the end of a project)?
• What is a good approach to tying code, data, and papers together using identifiers?

In this paper we demonstrate that not only is our poster reproducible, but that the methods we have adopted are useful to others as well. We feel we learnt a lot throughout this project, and hope to continue to refine these approaches in our analysis projects moving forward.  From analysis through to publication, we would love to hear about some of the ways that you have used research productivity tools in similar ways. Get in touch!

PS – This is the first Digital Science Report to be made entirely in Overleaf…

Technical Report: https://doi.org/10.6084/m9.figshare.9741890

Poster: https://doi.org/10.6084/m9.figshare.9742055

Online Version: https://wdaull.ds-innovation-experiments.com/

The post This Poster is Reproducible appeared first on Digital Science.

This work documents the work done to support the Peer Review Process for the Physiome Journa

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The post Peer Review Week Presentation on the Physiome Journal project appeared first on Digital Science.

The research world has moved faster than many would have suspected possible in response to the current pandemic. In five months, a volume of work has been generated that even the most intensive of emergent fields have taken years to create.

We investigate the research landscape trends and cultural changes in response to COVID-19. The report includes analysis of publication trends, geographic focal points of research, and collaboration patterns.

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The post This Poster is Reproducible appeared first on Digital Science.

Daniel Hook, CEO of Digital Science, said:

“Reproducibility of research is one of the critical topics of modern times – if research is to remain trusted by the populations who fund it, then researchers must ensure that their research can be reproduced by others.”

The company is playing a key role in making scientific research reproducible and more transparent. Ripeta is developing a “credit report” for scientific publications to assess and help improve the transparency needed to effectively communicate research.

Leslie McIntosh, CEO of ripeta, said:

“While technological innovations have accelerated scientific discoveries, they have complicated scientific reporting. Science is hard and reproducibility is important, so we need to make better science easier. We are developing the tools to make research methods transparent, enabling the verifiability, falsifiability and reproducibility of research. We are thrilled to receive this investment with the great team at Digital Science who provide a fantastic partnership. This will propel our work at ripeta helping make scientific reporting more transparent.”

Read the full press release here.

The post Gigantum and ripeta Join the Digital Science Family appeared first on Digital Science.