sparcopen / doathon

Our discussion forum (see "issues") for the OpenCon Do-A-Thon, a day of trying, making, testing and doing to advance Open Research & Education. See our full website, with more information (including Github Help, and how to get involved).
https://doathon.opencon2018.org/
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QwikiStatements: Sync and enrich the Wikidata database with data from ORCID and CrossRef using R and/or Python. #49

Open zambujo opened 6 years ago

zambujo commented 6 years ago

At a glance

Description

Wikidata provides an amazing infrastructure for exploring and discovering linked research data. The Wikidata community is building tools that allow visualizing these data in unprecedented ways (see Michael Eisen on Scholia). Yet these data remain incomplete (see Michael Eisen on ORCID) and laborious to update automatically.

QwikiStatements will provides the means to streamline the enrichment of Wikidata by parsing and linking data from ORCID and CrossRef. We will be using R and/or Python to bridge in the gap between an ORCID profile and QuickStatments.

What are we working on during the do-a-thon? What kinds of support do we need?

R and/or Python knowledge. APIs and HTTP calls. Will to engage editing Wikipedia/Wikimedia.

How can others contribute?

Ideas, testing, and communication.

This post is part of the OpenCon 2017 Do-A-Thon. Not sure what's going on? Head here.

npscience commented 6 years ago

Are you working on this today @zambujo?

zambujo commented 6 years ago

@npscience not necessarily today, but I will soon.

Daniel-Mietchen commented 6 years ago

The integration with ORCID is already quite advanced and progressing systematically, as per https://twitter.com/MagnusManske/status/926456363311607811 . So perhaps start working from there.

Integration with CrossRef, on the other hand, could do with some major enhancements, e.g.

In both cases, Quick Statements does not seems to be the appropriate way to scale things up.

zambujo commented 6 years ago

Thanks @Daniel-Mietchen ! I agree with your last statement, but it seemed the best way to go on a one-day-do-a-thon.