Open research
A peak into dataset re-use
One of the biggest incentives in academia is proof of the impact of your research. This often helps with promotion and tenure. Whilst measures like the impact factor have been repeatedly demonstrated to be compromisable, citations are still recognised by researchers as the gold standard for academic impact. With citations of non-traditional research outputs (NTROs) such a…
Read MoreResearch practices in the wake of COVID-19
By Grace Baynes, VP, Research Data and New Product Development, Springer Nature, and Mark Hahnel, CEO and Founder of Figshare. Cross posted from the Springer Nature Blog. The current climate has put a spotlight onto the value and importance of data sharing and curation and good data management for boosting the reproducibility and reliability of research. Its value…
Read MoreWhy fast but good publishing matters
By Mark Hahnel A large number of funders around the world now mandate publishing data needed to reproduce findings from the research they fund – at the same time as the paper is published. This is a change for academics. We have found through our State of Open Data reports that the majority of researchers are new to the concept…
Read MoreExploring re-use of datasets in institutional data repositories
As a general rule, academics should cite sources any time that you use someone else’s words, methods, data or ideas in a piece of your own research. With data and code, we see many ways in which re-use occurs, whether it be directly incorporating the data into your own raw data, running someone else’s analysis…
Read MoreResearch Data. Is it being cited?
Recently, we partnered with our sister company Dimensions to offer daily citations updates on any object within any Figshare instance. Our State of Open Data report that comes out each year has consistently highlighted that increased impact and visibility is the number one driver (78% on respondents value data citations as much or more than a paper citation) are the…
Read MoreCredit for the institutional data repository
As well as providing data repository functionality for organisations ranging from the NIH to Springer Nature, we also have a free product offering, which we refer to internally as ‘figshare.com.’ This allows researchers from around the world to make data available at no cost, get a DOI for their published research, and track the impact.…
Read MoreWho checks? Who pays? How much?
In the last decade, we’ve seen repeated reports of highlighting a lack of reproducibility and replicability in published academic research results. This has led to institutional, publisher and most significantly funder mandates for research data being made openly available at the point of publication of the paper. Over 10 years, we have seen the ground…
Read MoreAlignment of publisher data policies for all of academia’s benefit
The open research data space is picking up pace on all fronts at the moment. There has been an upswell in the focus on data from traditional academic publishers as well as recent policy pushes from the NIH draft policy and CODATA’s Beijing Declaration. The most obvious progress has come from the Data policy standardisation and implementation RDA interest…
Read MoreFrom Bethesda to Beijing – Open research data has arrived!
Last week saw two releases from organisations which will have a big impact on the next decade in academic research. Following on from the US Government’s OPEN data policy in January, the National Institute of Health (NIH) has released their draft open data policy! The NIH is seeking public input on a trans-NIH data management and sharing policy…
Read MoreBeyond the publication: why good research has to be a citable ecosystem
Guest post by Mayank Kejriwal. Publications are the bread and butter of academics and researchers across disciplines, nationalities and institutions. Non-linear variants notwithstanding, the typical academic pursuit consists in devising a research question, doing the necessary background research, formulating and conducting experiments, and then writing it all up. The process is iterative and requires course…
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