Research data represent all the data, that are collected, produced, developed, described and/or analysed with scholarly methods and that are sufficiently documented.[1]
Common formats of research data are:
Data, i.e. information on properties of analytic units, become research data on the basis of scholarly methods and documentation. Documentation of research data is done via metadata.
1. The following scientific essay examines menus on the basis of Pierre Bourdieu’s cultural theory. Thereby, a corpus published as a set of data is referenced.
2. The following data paper describes a set of data related to archaeological excavations of skull bones:
3. The following data paper describes a database of early Afro-American films:
Planned data management is an important feature in the daily life of researchers, since it supports their work in a range of ways:
[1] Kindling, Maxi/Schirmbacher, Peter: „Die digitale Forschungswelt“ als Gegenstand der Forschung. In: Information – Wissenschaft & Praxis 64 (2013) Nr. 2-3, S. 127-136. DOI: https://doi.org/10.1515/iwp-2013-0017
[2] Vgl. zum Zitationsvorteil https://www.forschungsdaten.org/index.php/Data_citation#Litertaur_zum_Zitationsvorteil_durch_.22data_sharing.22, am 19.11.2019. — Piwowar, Heather/Vision, Todd J.: Data Reuse and the Open Data Citation Advantage. In: PeerJ PrePrints 175 (2013). DOI: https://doi.org/10.7717/peerj.175.
Header Research Data: „Mraconia Church in the Small Kazan Danube on Romania Serbia Border” © Gary Bembridge via Flickr, CC BY 2.0
Research Data Pyramid: © BSB/A. Štanzel, CC BY 4.0 | Manage Research Data: own adaptation © Gaelen Pinnock (http://scarletstudio.net/), CC BY 4.0 | Publish Research Data: own adaptation © Gaelen Pinnock (http://scarletstudio.net/), CC BY 4.0 | Use Research Data: own adaptation © Gaelen Pinnock (http://scarletstudio.net/), CC BY 4.0 |
Handout on Research Data Management (PDF)
Guidelines of the Deutsche Forschungsgemeinschaft (DFG) on Research Data Management