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
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

"No Data" to Manage? Think Again!

Cheat Sheet for Humanities & Theoretical Disciplines
Authors: Ünver, Özgün;

"No Data" to Manage? Think Again!

Abstract

Many researchers in humanities and theoretical disciplines struggle with Research Data Management (RDM), often thinking they have no data because their work primarily involves books, literature, or purely theoretical processes. This poster aims to assist these researchers by providing a clearer understanding of how RDM applies to their work, even if it does not involve data in the ‘traditional’ sense (numbers, measurements, etc.). Research data includes all digital or physical data, regardless of how they are collected or stored, that are used or analysed to support research findings and validate results or are underlying a reasoning, discussion, or calculation in the research. To understand what researchers in humanities and theoretical disciplines consider when they think of data, five professors from literary studies, social sciences, educational sciences, theoretical mathematics, and theoretical computer science were interviewed. Based on this deeper understanding, a poster was created listing some popular research methods in Humanities as well as examples of generated and (re)used data. The resulting poster was disseminated both in print and online form in the beginning of the 2024-2025 academic year. The VUB RDM team received lots of positive reactions about this poster especially from researchers in Social Sciences and Humanities.

Related Organizations
Keywords

Humanities, Research Data Management, FOS: Humanities, data types, theoretical disciplines, Network Day 2025

  • 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
Related to Research communities