Data Jargon

People say jargon is a bad thing, but it's really a shortcut vocabulary professionals use to understand one another | Erin McKean


In this section you will find a list of terms that are often used by data supporters. In addition, in three underlying sections we pay extra attention to a number of basic concepts that form the visible and invisible thread of this course.


Basic concepts

In the coming three underlying paragraphs we zoom in on the following basic concepts:

Using the menu in the column on the left, you can go directly to the section of your choice. Or you can scroll down and continue to the next paragraph. In this way you won't miss anything. 

List of terms

Below you will find a list of terms that you can refer to during the course. Alternatively, you can also consult the LCRDM glossary (n.d.), the one from DCC (n.d.), or the Data Glossary from Science Europe (n.d.).
Sources

ANDS (2017). ANDS Guides and Resources. What is research data. https://www.ands.org.au/guides/what-is-research-data

Autoriteit Persoonsgegevens (n.d.a.). Data Protection Impact Assessment. https://autoriteitpersoonsgegevens.nl/nl/zelf-doen/data-protection-impact-assessment-dpia

Autoriteit Persoonsgegevens (n.d.b.) DPIA-checklist. 

https://autoriteitpersoonsgegevens.nl/sites/default/files/atoms/files/schema_dpia_na_25_mei.pdf

Buneman P., Khanna S., Tan WC. (2000) Data Provenance: Some Basic Issues. In: Kapoor S., Prasad S. (eds) FST TCS 2000: Foundations of Software Technology and Theoretical Computer Science. FSTTCS 2000. Lecture Notes in Computer Science, vol 1974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44450-5_6 (Availabel at http://db.cis.upenn.edu/DL/fsttcs.pdf)

CASRAI (n.d.). Category:Terms. https://dictionary.casrai.org/Category:Terms

DCC (n.d.). Glossary. http://www.dcc.ac.uk/digital-curation/glossary

Europese Unie (2016). VERORDENING (EU) 2016/679 VAN HET EUROPEES PARLEMENT EN DE RAAD. https://eur-lex.europa.eu/legal-content/NL/TXT/PDF/?uri=CELEX:32016R0679&from=en

Erasmus Universiteit (2018). Personal Data and Privacy Impact Assessment in Research. https://www.erim.eur.nl/fileadmin/user_upload/Privacy_assessment.pdf

Force 11. (2014). The FAIR data principles. Retrieved from https://www.force11.org/group/fairgroup/fairprinciples

Foster open science (n.d.). Wat is open science. Introduction. https://www.fosteropenscience.eu/content/what-open-science-introduction

Foster Open Science (2018). Open Science Training book. 4. Reproducible Research and Data Analysis. https://book.fosteropenscience.eu/en/02OpenScienceBasics/04ReproducibleResearchAndDataAnalysis.html

GO FAIR (n.d.) Fair principles. Retrieved from https://www.go-fair.org/fair-principles/

LCRDM (n.d.) LCRDM Begrippelijst. https://www.lcrdm.nl/begrippenlijst

NNLM (n.d.). Research Lifecycle. https://nnlm.gov/data/thesaurus/research-lifecycle

Nosek, B.A., Ebersole, C.R, DeHaven, A.C., Mellor, D.T. (2018). The preregistration revolution. PNAS March 13, 2018 115 (11) 2600-2606. Retrieved from https://doi.org/10.1073/pnas.1708274114

National Academies of Sciences, Engineering, and Medicine. 2017. Fostering Integrity in Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/21896

Open Knowledge Foundation (n.d.). The open definition. https://opendefinition.org/

Overheid.nl (2018). Uitvoeringswet Algemene verordening gegevensbescherming https://wetten.overheid.nl/BWBR0040940/2018-05-25

Science Europe (n.d.). Science Europe Data Glossary. http://sedataglossary.shoutwiki.com/wiki/Main_Page

UK Government (n.d.). Text Mining and Data Analytics in Call for Evidence Responses. https://webarchive.nationalarchives.gov.uk/20140603125140/http://www.ipo.gov.uk/ipreview-doc-t.pdf

W3C (n.d.). RDF. https://www.w3.org/RDF/

Wilkinson, M.D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data 3. Retrieved from https://dx.doi.org/10.1038/sdata.2016.18