Increased calls for data sharing have formed part of many governments' agendas to boost innovation and scientific development. Data openness for reuse also resonates with the recognised need for more transparent, reproducible science. But what are scientists' perceptions about data reuse? Renata Gonçalves Curty, Kevin Crowston, Alison Specht, Bruce W. Grant and Elizabeth D. Dalton make use of existing survey data to analyse the attitudes and norms affecting scientists’ data reuse. Perceived efficiency, efficacy, and trustworthiness are key; as is whether scientists believe data reuse is beneficial for scientific development, or perceive certain pressures contrary to the reuse of data. Looking ahead, synthesis centres can be important for su...
Funding for research communication is a growing feature of grant applications and whilst digital sch...
Non-academics with extensive experience of particular sectors and industries can provide unique insi...
The negative consequences of relying too heavily on metrics to assess research quality are well know...
Data sharing is a key principle of open science, and research funders are increasingly including thi...
It is increasingly common for researchers to make their data freely available. This is often a requi...
The case for open data is increasingly inarguable. Improved data practice can help to address concer...
Making data available for other researchers to find, use, reuse, and reproduce is fundamental to ope...
In their previous post, Leo Tiokhin, Karthik Panchanathan, Paul Smaldino and Daniel Lakens argued th...
Much academic research is currently characterised by a rush to capture the effects of COVID-19. Howe...
Data Science looks at raw numbers and informational objects created by different disciplines. The Di...
The value and potential of data re-use and the associated methodology of qualitative secondary analy...
The impact of academic research, particularly on policy and the private sector, is an increasingly i...
There is currently little incentive for researchers to share their data. But what if it was enough f...
Poster: Developments in digital technologies have increased the quantity of data being created as we...
AI is forecast to become increasingly central to many aspects of life and work. The same trends can ...
Funding for research communication is a growing feature of grant applications and whilst digital sch...
Non-academics with extensive experience of particular sectors and industries can provide unique insi...
The negative consequences of relying too heavily on metrics to assess research quality are well know...
Data sharing is a key principle of open science, and research funders are increasingly including thi...
It is increasingly common for researchers to make their data freely available. This is often a requi...
The case for open data is increasingly inarguable. Improved data practice can help to address concer...
Making data available for other researchers to find, use, reuse, and reproduce is fundamental to ope...
In their previous post, Leo Tiokhin, Karthik Panchanathan, Paul Smaldino and Daniel Lakens argued th...
Much academic research is currently characterised by a rush to capture the effects of COVID-19. Howe...
Data Science looks at raw numbers and informational objects created by different disciplines. The Di...
The value and potential of data re-use and the associated methodology of qualitative secondary analy...
The impact of academic research, particularly on policy and the private sector, is an increasingly i...
There is currently little incentive for researchers to share their data. But what if it was enough f...
Poster: Developments in digital technologies have increased the quantity of data being created as we...
AI is forecast to become increasingly central to many aspects of life and work. The same trends can ...
Funding for research communication is a growing feature of grant applications and whilst digital sch...
Non-academics with extensive experience of particular sectors and industries can provide unique insi...
The negative consequences of relying too heavily on metrics to assess research quality are well know...