14 November 2023
In the eighth annual The State of Open Data report released, almost three quarters of surveyed researchers overwhelmingly said they are still not getting the support they need to share their data openly. Such data highlights the increased need for greater community collaboration and tools to support researchers in the move to sustainable open science practices.
For the remaining 23% of respondents who had sought and received support with data sharing, the support primarily came from internal sources (colleague/supervisor – 61%), followed by institutional libraries (31%), research office / in-house institutional expertise (26%), publishers (21%) and funders (17%).
“The State of Open Data Report has become a unique, long-term resource chronicling the establishment of open data, attitudes towards it, and researchers’ experiences of data sharing,” said Daniel Hook, CEO of Digital Science. “It’s my hope that readers of the report will not only better understand what the research community is experiencing and achieving now, but what the opportunities are for the future.”
Harsh Jegadeesan, Chief Publishing Officer, Springer Nature added: “By better understanding researchers’ motivations around open research we, as a community, can clearly see the roles we all need to play in driving accessible research forwards and harnessing the power of emerging technologies to move towards greater open science. Ensuring easy and open access to all parts of research supports accessibility, usability and reusability – and this is key in helping to ensure research can be built upon and gets into the hands of those that can effect change to tackle the world’s most challenging issues.”
Over 6000 researchers responded globally, with the highest proportion of responses from India (12%), China (11%) and the United States (9%). For the first time, this year we asked respondents about their experiences of using artificial intelligence (AI) to collect and share data. At a time when almost three-quarters of researchers surveyed say they have never received any support with making their data openly available, looking at the potential of artificial intelligence (AI) technologies for supporting the data-sharing process and benchmarking current attitudes may enable stakeholders across the research ecosystem to consider the future role that AI could play in the research process.
Other key findings from this year’s report show that:
- 60% of respondents believe that they receive too little credit for sharing their data – credit remains an ongoing concern for researchers and one that has reoccurred across The State of Open Data reports for the past 8 years – hindering the promotion of open science and sustainable data sharing practices by undermining incentives, trust, and collaboration;
- We need a more nuanced global approach to research data management – one size does not fit all. For example, there was a general consensus in favor of a national mandate for open research data (64%), with respondents from India and Germany displaying higher levels of support (both 71%) compared to other countries.
- Career stage is not a significant factor in open data awareness or support levels – more inclusive outreach is needed when organizing discussions, forums and panels in the open research space.
- AI awareness has not yet been translated into action – while almost half of respondents were aware of generative AI tools for data collection, processing, and metadata creation, most are not yet using them.
Speaking of this year’s findings Graham Smith, Open Data Program Manager, Springer Nature, said: “Researchers publishing in the last year are significantly more likely to share data due to a funder requirement than those publishing earlier. At Springer Nature we are taking concrete action to encourage researchers to share their data such as with our single data policy and requiring data availability statements. This, we believe, will help authors in opening up their data for further reuse and interrogation.”
Founder and CEO of Figshare Mark Hahnel said: “With this year’s report we have seen progress, alongside ever-recurrent themes. But we have also investigated further to see if there is greater consistency or indeed, clear disparities in responses across different countries, research subjects and career stages. Whilst a global funder push towards FAIR data has researchers globally moving in the same direction, it is important to recognize the subtleties in researchers’ behaviors based on variables in who they are and where they are.”
To build on this further this year also sees the first publication of a partner report by the Computer Network Information Centre of the Chinese Academy of Sciences, looking at open data in China. That report is due out on 30 November 2023.
The full State of Open Data report can be accessed on Figshare: https://doi.org/10.6084/m9.figshare.24428194 and the CAS report will be available at the end of November.