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Presentation . 2022
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Presentation . 2022
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The CESSDA Data Archiving Guide: A resource for people who love data [Workshop]

Authors: Bishop, Libby; Kondyli, Dimitra; Lace, Ilze; Voronin, Yevhen;

The CESSDA Data Archiving Guide: A resource for people who love data [Workshop]

Abstract

This is the presentation "The CESSDA Data Archiving Guide: A resource for people who love data" from the workshop at the IASSIST 2022 conference. The CESSDA Data Archiving Guide (https://dag.cessda.eu/) is a new resource developed by CESSDA and is designed to provide employees at data archives and repositories with an understanding of the work a data archive performs. The information in the DAG was collected by experts from CESSDA social science data archives reflecting the procedures and policies at their local archives. While the context of these archives varies — in size, the underlying technical architecture or in the specific services provided to researchers — the DAG focuses on common ground and is a useful tool for professionals new to data archiving or those who are knowledgeable in one domain and now seek to broaden their expertise. The 120-minute workshop was made up of representatives from three of the data archives who have built DAG and followed the structure below: ● Introduction to DAG; ● Present the content of three sections: FAQ(s), Policies, and Pre-ingest; ● Interactive sessions with participants; ● Focused discussion with participants on several topics (comments on current content, suggestions for topics future sections, discussion of how DAG might be distinctive as a resource for data professionals because it provides a sustainable infrastructure supported by CESSDA).

Keywords

data archiving, DAG, CESSDA, pre-ingest, Data Archiving Guide, social sciences, ingest

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selected citations
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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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