Improving your data publishing workflow with the Frictionless Data Field Guide
Serah Rono - March 27, 2018 in data infrastructures, Data Quality, Frictionless Data


Serah Rono - March 27, 2018 in data infrastructures, Data Quality, Frictionless Data
Adrià Mercader - December 18, 2017 in case study, ckan, Data Quality, Frictionless Data, goodtables
Jo Barratt - October 31, 2017 in Data Quality, Frictionless Data, News, ODI
‘Our goals in this project are to truly understand what barriers exist to publishing high quality data quickly and at reasonable cost. We’re happy to be working with OKI, and to be building on its Frictionless Data initiative to further the development of simpler, faster, higher quality open data publishing workflows. ‘On announcing the funding on 17th October, Dr Jeni Tennison, CEO at the ODI said:
‘The work we are announcing today will find the best examples of things working well, so we can share and learn from them. We will take these learnings and help businesses and governments to use them and lead by example.’A major focus for the Product Team at Open Knowledge International over the last two years has been around data quality and automation of data processing. Data quality is arguably the greatest barrier to useful and usable open data and we’ve been directly addressing this via specifications and tooling in Frictionless Data over the last two years. Our focus in this project will be to develop ways for non-technical users to employ tools for automation, reducing the potential for manual error, and increasing productivity. We see speed of publication and lowering costs of publication as two areas that are directly enhanced by having better tooling and workflows to address quality and automation and this is something which the development of this toolkit will directly address. People are fundamental to quality, curated, open data publication workflows. However, by automating more aspects of the “publication pipeline”, we not only reduce the need for manual intervention, we also can increase the speed at which open data can be published.
Open Knowledge Foundation - May 31, 2017 in Data Quality, Global Open Data Index, GODI16, Open Data
Arguably, the diversity of existing quality indicators prevents from a targeted and strategic approach to improving data quality.At the moment GODI sets out the following indicators for measuring data quality:
David Read - January 27, 2016 in Data Quality, Extensions
David Read - January 27, 2016 in Data Quality, Extensions