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CESSDA SaW D2.1: Knowledge-Sharing Platform Forum Report

Name: CESSDA SaW D2.1: Knowledge-Sharing Platform Forum Report
Keywords: Strategy and Policy

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 07 Sep 2016 English Publisher:ZenodoFunded by:EC | CESSDA-SaW

Authors: Alfredsson, Iris; Jerlehag, Birger; Vipavc Brvar, Irena; Besjak , Sonja; Smith, Eleanor; Recker, Jonas;

doi: 10.5281/zenodo.3769133 , 10.5281/zenodo.3769134

CESSDA SaW D2.1: Knowledge-Sharing Platform Forum Report

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Abstract

This report presents results of Task 2.1 "Virtual Stakeholders' Forum" – an online survey carried out among CESSDA SaW members to learn more about their needs and demands concerning the CESSDA Knowledge Platform to be built as part of this task. The survey, which was completed by 47 respondents, focused on desired content and functionality of the platform. Its results inform the Platform Content and Management Policy (D2.2)

Related Organizations

Leibniz Association
Germany
Swedish National Data Service
Sweden
Consortium of European Social Science Data Archives
Norway
Leibniz Institute for the Social Sciences
Germany

Keywords

Strategy and Policy

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CESSDA SaW D2.2: Knowledge-Sharing Platform Content and Management Policy
2017Continues
CESSDA SaW D2.7: Launched CESSDA Knowledge Platform
2018IsContinuedBy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average