Effective data curation for big data
Posted: Sun Feb 09, 2025 5:30 am
As part of our suite of posts on big data, the UK Data Service’s Louise Corti, Associate Director for Collections Development and Producer Relations, and Sharon Bolton, Data Curation Manager, discuss the curation of big data and how to promote its re-use.
Good data management practices are essential for ensuring that research data are of high quality, are well-organised, documented, preserved, findable, accessible and that their validity is guaranteed. Data can be then shared, ensuring their sustainability and accessibility in the long-term, to be used for new research and policy or to replicate and germany rcs data validate existing research and policy. It is important that researchers extend these practices to their work with all types of data, be it big (large or complex) data or smaller, more ‘curatable’ datasets.
The Research Data Alliance’s vision is for researchers and innovators to openly share data “across technologies, disciplines, and countries to address the grand challenges of society.” Louise Corti’s plenary talk at the Digital Curation Centre Research Data Management Forum 13 discussed the reasons behind the increased focus on sharing research data, such as increasing open access and transparency agendas, the huge progress in opening up government data through data.gov.uk for example, the demand for value for money from public spending and as a way of validating academic findings. How do we ensure that big data are shareable? And what are the implications when it comes to researchers who want to re-use these ‘big’ data.
Good data management practices are essential for ensuring that research data are of high quality, are well-organised, documented, preserved, findable, accessible and that their validity is guaranteed. Data can be then shared, ensuring their sustainability and accessibility in the long-term, to be used for new research and policy or to replicate and germany rcs data validate existing research and policy. It is important that researchers extend these practices to their work with all types of data, be it big (large or complex) data or smaller, more ‘curatable’ datasets.
The Research Data Alliance’s vision is for researchers and innovators to openly share data “across technologies, disciplines, and countries to address the grand challenges of society.” Louise Corti’s plenary talk at the Digital Curation Centre Research Data Management Forum 13 discussed the reasons behind the increased focus on sharing research data, such as increasing open access and transparency agendas, the huge progress in opening up government data through data.gov.uk for example, the demand for value for money from public spending and as a way of validating academic findings. How do we ensure that big data are shareable? And what are the implications when it comes to researchers who want to re-use these ‘big’ data.