This post is based on a short talk I gave at the SpotOn London 2018 conference, and describes six different areas in which scholarly publishers can make practical changes to improve the reliability and reproducibility of published research.

Iain Hrynaszkiewicz

Jun 21, 2019

Springer Nature

Updates in Data

Centre of Open Science: Your chance to give your input on Preprints

Roza Sakellaropoulou

Jun 19, 2019

Data Sharing in Japan: what do researchers think?

Springer Nature

Updates in Data

Data Sharing in Japan: what do researchers think?

Roza Sakellaropoulou

Jun 18, 2019

FAIR Humanities data?

Springer Nature

Updates in Data

FAIR Humanities data?

Dr. Rebecca Grant

Jun 10, 2019

Research Data at Springer Nature

Updates in Data

Data Repository Selection - Request for Comments

How to make a good open-science repository?

Integrating open science in the humanities: the case of computational history

Help sharing sensitive data

Update on the Research Symbiont Awards

How are researchers using Open Data in 2019?

Announcing the #SciData19 Writing Competition Winners

Is China ready for Open Data?

What’s the best (or worst) review you’ve received?

Why cognitive bias is a researcher’s worst enemy

Putting researchers front and centre: enhanced support for Wellcome-funded researchers to describe and share their data

Above all else, share the data!

FAIR Data: 7 initiatives you should know about

Helping institutions enhance their support for data curation

Announcing the Better Science through Better Data 2019 Writing Competition

Dealing with sensitive data

Six things publishers can do to support open data and reproducible research

Centre of Open Science: Your chance to give your input on Preprints

Data Sharing in Japan: what do researchers think?

FAIR Humanities data?

Register to Research Data at Springer Nature