Build services on top of Crossref Event Data

• 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
• Keywords: interlinking, crossref event data, relationships
• Addressed Stakeholders: data service providers, publishers
• Full 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.