Compilation of Recommendations

Details

Short Title

Build services on top of Crossref Event Data

Source Documnent

recommendations from the dfg *metrics project

Source Document Link

https://doi.org/10.18452/22242

Publishing Organisation

DINI - Deutsche Initiative für Netzwerkinformation e.V.

Date of Publication

2020-12-01

Topic

Interlinking/ interoperability, Discovery/ indexing/ search

Addressed Stakeholders

data service providers, publishers

Keywords

interlinking, crossref event data, relationships

Text

A promising approach to collecting signals from social media platforms emerged with the launch of Crossref ’s Event Data service which can be used if running an own collection algorithm is not an option. In most use cases, e.g. displaying *metrics next to articles in a repository, the Event Data output is rather complex and needs additional processing steps. A middle layer created for certain typical scenarios would help practition-ers get off to an easy start. That could involve giving examples of some necessary decision points (i.e. whether to sum up a platform’s signals, such as tweets and retweets, or count them separately; what actions are to be considered spam; what are non-relevant Wikipedia edits and can be discarded, etc.). For each of these questions it should be possible to:a) give typical, most recommendable answers (in a transparent way), and b) let the user configure options based on their preferences before loading the resulting data into the local application. Stakeholders of altmetrics should debate such issues and make solutions openly available.