Talk:CAA Australia 2017

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Presenters

Robert Haubt is an interdisciplinary researcher and lecturer in Digital Humanities.

Introduction

n/a

Monday Session: Databases

About Database & Knowledge Management

Data Management Life Cycle]

The General Process

Data Life Cycle
Plan Collect Process Analyze Store Share Reuse
? ? ? ? ? ? ?


What do we use to plan data collection?

  1. reuse old data
  2. collect new data
  3. new forms
  4. new applications


What do we use to collect data?

  1. Notebooks
  2. Endnote (publications, notes etc.)
  3. Evernote
  4. Paper Forms
  5. Punch Cards
  6. Audio/Visual Media
  7. Remote Sensing data
  8. other technologies
  9. Apps
  10. etc.


What do we use Process Data / Store Data?

  1. Paper Forms
  2. Punch Card Reader
  3. Evernote
  4. Punch Card Reader
  5. Excel
  6. Access
  7. FileMake
  8. flat
  9. relational
  10. extended relational
  11. object-oriented
  12. object-relational
  13. network
  14. hierarchical
  15. tripple store
  16. quad store
  17. List of Vendors: https://cs.fit.edu/~pbernhar/dbms.html

How do we analyze data?

  1. sort / categorise
  2. filter
  3. query


What do we use to analyze data?

  1. human-based-computation
  2. digital-computation
  3. human-computer-computation

Software:

  1. dirtdirectory.org
  2. http://tapor-test.artsrn.ualberta.ca/home
  3. http://www.visualdataweb.org/relfinder/relfinder.php

Where do we store data?

Desk

  1. paper forms

Hard Drive

  1. text
  2. image
  3. sound
  4. 3d
  5. Excel

Databases

  1. Access
  2. Wikis
  3. Drupal
  4. Jekyll
  5. Other

Paid Solutions

  1. EMu
  2. Elsevier
  3. JSTOR
  4. http://www.getty.edu/conservation/our_projects/field_projects/arches/
  5. Other

How do we share data?

  1. hard copies
  2. digital data
  3. ideas
  1. Australian Gov.Public Archives
    1. 19 Heritage Organizations
    2. 37 Gov. Heritage Bodies
    3. 15 Non-Gov. Heritage Bodies
    4. http://www.environment.gov.au/heritage/organisations/
  1. Interdisciplinary
    1. Linked Open Data
    2. Data Repositories
    3. Local Repositories
      1. http://www.researchspace.org/
    4. Discipline Specific Repositories
      1. http://papyri.info/
    5. Research Data Repositories
      1. http://www.re3data.org/
    6. Statistics
      1. http://www.nationmaster.com/au
      2. http://www.kdnuggets.com/datasets/index.html
    7. Open Access
      1. http://oad.simmons.edu/oadwiki/Data_repositories

How do we structure this data so we can make sense of it all?

  1. Schema
  2. Thesaurus
  3. Linked Data
  4. Metadata
  5. Ontology
  6. Inference