To contact the project: select "Enqwyre: data wrangling and transparent research data transformation for schema-based interoperability and publication" on the contact form and send a message.
Enqwyre will provide an intuitive "no code" method for schema-to-schema data transformations for interoperability, and restructuring messy digital data into user-defined metadata schemas. It supports research data collaboration, recovery of non-interoperable data into machine-readable formats, and ensuring source data provenance. A JSON-Schema-defined method permits validation of transformations and verifying outputs are the product of source data inputs. Enqwyre.com will be a web-based "no code" service with a library of common schema-to-schema transformations, a standalone open-source application for self-hosting, and an open-source library for use in custom software.
The project belongs to the group of open-call projects supported by EOSC Future.
Project App: https://whyqd.com/
Project staff
Gavin Chait leads product development on data-driven software services, and researching methodology for improving data curation, interoperability, analysis, release, and management.
He has created and built useful things, like openLocal.uk, a quarterly-updated commercial location database, aggregating open data on vacancies, rental valuations, rates and ratepayers, into an integrated time-series database of individual business units, and qwyre.com, an ereader and collaborative publishing platform for creative fiction.
He is fascinated by the frontiers of human progress: innovation vs ignorance; wealth vs poverty, migration vs stasis. He also drinks a great deal of coffee.
Project outputs
- 18-Jul-2023 Workshop at UCL Centre for Advanced Spatial Analysis (CASA) presenting my project and discussing strategies for data curation for graduate researchers.
- 10-May-2023 First major project release of the Whyqd crosswalks Python library, with comprehensive documentation and worked tutorials.
- 20-Apr-2023 Collaboration with FAIRCORE4EOSC on Mapping; invited to join their conference and present on my work
- 29-Mar-2023 Talk at IEA Wind Task 43 Metadata Challenge webinar series #4
- 7-Mar-2023
- 1-Jan-2023 Upgrade the Python Whyqd data wrangling library to work with >1Gb file sizes (development branch).
- Will be collaborating with Centre for Bioinformatics, University of Oslo and Computational Systems Biology at University of Kaiserslautern-Landau at Biohackathon 2023 on enabling continuous RDM using Annotated Research Contexts with RO-Crates profiles for ISA.
- Executable metadata mappings in research data management platforms. Enqwyre project invited to interoperate with Omnipy to develop scalable data flows, and develop a collaborative project for BioHackathon Europe in October.
- Upgrade the full stack application generator for the web service to the most recent code base. This is also complete, with new authentication and authorisation protocols which will be necessary for ensuring data probity through data conversion