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Data management principles, standards and tools/Lynn Woolfrey

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Botswana 30-31 Oct 2017

Published in: Data & Analytics
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Data management principles, standards and tools/Lynn Woolfrey

  1. 1. LYNN WOOLFREY OPEN DATA OPEN SCIENCE WORKSHOP, UNIVERSITY OF BOTSWANA, GABORONE, BOTSWANA, 30-31 OCTOBER, 2017
  2. 2. DataFirst is a research unit and online data service at the University of Cape Town. We share government data with academics for high-quality policy research Photo: Jade Gibson, 2014
  3. 3. DataFirst’s open data and data sharing role supports South Africa’s open science agenda Photo: Jade Gibson, 2014
  4. 4. We train African data managers in open data best practice Photo: Jade Gibson, 2014
  5. 5. Open Data Principles
  6. 6. Examples of Open Data Principles 1996 Bermuda Principles Genome data - at a summit in Bermuda, leaders of the Human Genome Project agreed on a revolutionary set of principles requiring all DNA sequence data be publicly accessible 24 hours after generation 2010 Open Government Data Principles Government-held data – Accessibility (non-discrimination, non-payment, open standards Completeness Primacy Timeliness Machine-readability Permanence
  7. 7. Accessibility Completeness Primacy Timeliness Clear Licensing Use of Open Standards Machine- readability Permanence 1. Easily discoverable and downloadable (i.e. online) 2. No Usage Costs - free 3. Non- discrimination - Any person must be able to access the data at any time for any reason Data must be as complete as possible, and not data subsets Data must be released at a primary, unit- record level Data collected by the government must be release as soon after collection as possible Data must be clearly labelled as in the public domain Data must be in Open formats, i.e. not dependent on proprietary software for their analysis Data must be stored in widely- used file formats that can be computer- processed Data must be available in the long-term, online and versioned
  8. 8. Data Quality Principles Comparability Accessibility Primacy Accuracy Security Timeliness Interpretability
  9. 9. Standards for stages in the data curation life cycle
  10. 10. Metadata Management Tools We use Nesstar Publisher, which is free data markup software for the creation of xml compliant metadata using the Data Documentation Initiative (DDI) standard
  11. 11. Certification of Data Repositories The data must be accessible The data must be in a usable format The data must be reliable The data must be identified in a unique and persistent way WDS-Data Seal of Approval Certification
  12. 12. Discovery and Access Tools: NADA Platform
  13. 13. We received the Data Seal of Approval in 2014
  14. 14. QUESTIONS? lynn.woolfrey@uct.ac.za www.datafirst.uct.ac.za

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