Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Timelines as Tools for Data Visualization and Communication in Scientific Contexts – a Practical Guide

Zeitleisten als Werkzeuge für die Datenvisualisierung und Kommunikation in wissenschaftlichen Kontexten – ein praktischer Leitfaden
Authors: Robrecht, Michèle;

Timelines as Tools for Data Visualization and Communication in Scientific Contexts – a Practical Guide

Abstract

Zeitleisten sind nützliche Werkzeuge, um Ereignisse in chronologischer Reihenfolge zu visualisieren. Sie eignen sich ideal, um Geschichten zu erzählen und Daten zu präsentieren, die sich im Laufe der Zeit verändern. Der Leitfaden enthält detaillierte Beschreibungen der notwendigen Schritte und Tipps für die praktische Anwendung. Er richtet sich an Bibliotheksmitarbeitende, Kommunizierende und Forschende, die Zeitleisten als Kommunikations- oder Dokumentationswerkzeug nutzen möchten, sowie an alle, die mit (wissenschaftlichen) Daten arbeiten und diese strukturiert, verständlich und visuell ansprechend präsentieren möchten.

Timelines are useful tools for visualizing events in chronological order. They are ideal for telling stories and presenting data that changes over time. The guide contains detailed descriptions of the necessary steps and tips for practical application. It is aimed at library staff, communications managers, and researchers who want to use timelines as a communication or documentation tool, as well as anyone who works with (scientific) data and wants to present it in a structured, understandable, and visually appealing way.

Keywords

FDM, Externe Wissenschaftskommunikation, Zeitleiste, Data visualization, Datenvisualisierung, Data Visualization, RDM, Research data management, Forschungsdatenmanagement, dPart, Wissenschaftskommunikation, Timeline, Science communication

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green