Presentation Open Access

How to manage Big Data (well) - A digitized process-chain

Brentel, Inga

JSON-LD ( Export

  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  "description": "<p>The presentation was given as part of the CESSDA Training Days. The CESSDA Training Days were a two-day training event showcasing diverse training resources on both CESSDA tools and services. They took place on November 27 and 28, 2019, and were hosted by the GESIS &ndash; Leibniz-Institute for the Social Sciences in Cologne, Germany. All courses were held in English. The Training Days were supported by CESSDA Training, and were the first of what is to become a series of annual training events.<br>\n<br>\nBased on a case study of combined survey and tracking data about media reach and usage, Inga Brentel demonstrated how to exploit and manage big data by implementing digitized process chains &ndash; making big data usable for social science research. The demonstrated case study was partly realized with CharmStats Pro, an open-source software supporting collaborative data harmonization projects and their appropriate documentation.</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Heinrich Heine Universit\u00e4t D\u00fcsseldorf", 
      "@type": "Person", 
      "name": "Brentel, Inga"
  "url": "", 
  "datePublished": "2020-06-30", 
  "@type": "PresentationDigitalDocument", 
  "keywords": [
    "big data; data linking; CharmStats Pro"
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "workFeatured": {
    "url": "", 
    "alternateName": "CTD2019", 
    "location": "Cologne, Germany", 
    "@type": "Event", 
    "name": "CESSDA Training Days 2019"
  "name": "How to manage Big Data (well) - A digitized process-chain"
All versions This version
Views 119119
Downloads 2828
Data volume 42.9 MB42.9 MB
Unique views 110110
Unique downloads 2525


Cite as