osmikon.search

osmikon.search

What is searched?
osmikon.search offers the possibility to search simultaneously in relevant German and international library catalogues, bibliographies and special databases for scientific literature and research material on Central, Eastern and Southeastern Europe.
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OstDok

OstDok

What is searched?
The subject repository "OstDok – Eastern European Documents Online" provides electronic full texts of research on Eastern, Central Eastern and Southeastern Europe.
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ARTOS

ARTOS

What is searched?
The database ARTOS records specialist articles and reviews from around 400 current journals and selected anthologies covering a wide range of research in the humanities and social sciences from Eastern and Southeastern Europe and across the region.
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OstNet

OstNet

What is searched?
OstNet is a catalogue for internet resources and lists academically relevant websites and online documents on Eastern, Central and Southeastern Europe. In OstNet you can, for example, search for institutional websites, blogs or digital humanities projects on a specific topic or country, or search for databases for a specific research target.
Find out more about OstNet

ARTOS

ARTOS alerting service

Use the ARTOS alerting service to receive regular e-mail updates on new articles and reviews from several hundred journals and selected edited volumes on Eastern Europe!
Find out more about ARTOS alerting service

What are research data?

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:

  • audio and video recordings of interviews
  • transcripts of text and audio recordings
  • annotations and excerpts
  • bibliographies
  • text and speech corpora
  • analysis of quantitative empirical social research and statistical surveys
  • scripts and source code
  • images of physical objects, graphics or diagrams
  • network analysis and visualisations
  • geodata

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.

  • essay:
    Jurafsky, Dan/Chahuneau, Victor/Routledge, Bryan R./Smith, Noah A.: “Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus.” In: Journal of Cultural Analytics (2016). DOI: 10.31235/osf.io/j9tga.
  • corresponding set of data:
    Jurafsky, Dan: “Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus” data and scripts. Harvard Dataverse (2016), V1. DOI: https://doi.org/10.7910/DVN/QMLCPD.

2. The following data paper describes a set of data related to archaeological excavations of skull bones:

  • Radović, Marija/Stefanović, Sofija/Edinborough, Kevan: “Cranial Age Assessment and Cranial Pathology from the Mesolithic-Neolithic Inhabitants of the Danube Gorges, Serbia.” In: Journal of Open Archaeology Data 4 (2015): p. e5. DOI: http://doi.org/10.5334/joad.aj

3. The following data paper describes a database of early Afro-American films:

  • Cifor, Marika/Girma, Hanna/Norman, Shanya/Posner, Miriam: “Early African-American Film Database, 1909–1930.” In: Journal of Open Humanities Data 4 (2018): p. 1. DOI: http://doi.org/10.5334/johd.7

Advantages of planned data management

Planned data management is an important feature in the daily life of researchers, since it supports their work in a range of ways:

  • Systematic collecting, recording and storage of research data facilitates your own research and protects against data loss;
  • The publication of research data increases the visibility of one’s own research and accentuates one’s academic profile;[2]

     

  • The traceability and transparency of research performance is increased;
  • New collaborations and networks with other researchers can emerge;
  • Expert knowledge is preserved and facilitates new research;
  • Published research data can be used for secondary analysis with new research questions and methods or where data from diverse sources is combined;
  • Current research funding requirements will be met and the prospects for funding will increase

Footnotes

[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

Picture credits

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 |

Contact

Your contact regarding research data:

Dr Arnošt Štanzel
Phone: +49 (0)89/28638-2832