View source for Talk:CAA Australia 2017

= Presenters =
[[Robert Haubt]] is an interdisciplinary researcher and lecturer in Digital Humanities.

= Introduction =
n/a

= Monday Session: Databases =


== About Database & Knowledge Management ==


[[File:Datalifecycle.png|Data Management Life Cycle]]

== Why is any of this important? ==
ARC Data Management Requirements
Effective data management is an important part of ensuring open access to publicly funded research data. Data management planning from the beginning of a research project helps to outline how data will be collected, formatted, described, stored and shared throughout, and beyond, the project lifecycle.
ARC Research Data Management: http://www.arc.gov.au/research-data-management

 
#Where will your research data be stored at completion of the project?
#What access will you provide to the data set on completion of the project?
#How will you enable others to reuse your research data?
ANDS Guide for ARC Data Management Section: http://www.ands.org.au/guides/arc-guide-to-filling-in-the-dm-section

=== Australian Initiatives towards Data Management ===

==== 23 Things ====
23 (research data) Things is self-directed learning for anybody who wants to know more about research data. If you are a person who cares for, and about, research data and want to fill in some gaps, learn more or find out what others are thinking, then this may be for you!
[[File:23Things.png|23 Things, ANDS ]]
http://www.ands.org.au/partners-and-communities/23-research-data-things

=== Intersect ===
Intersect is Australia's largest full-service eResearch support agency. We help researchers increase their impact through innovative technologies and expert advice. We work closely with our members and the wider research community to: 
#Increase research productivity by decreasing time from hypothesis to tested results. 
#Support research diversity by enabling collaborators to share data and experience across disciplines and across organisations. 
#Increase research longevity by storing and sharing the long tail of data beyond the research project lifecycle. 

Links:
#Co-developing eResearch infrastructure: Technology-enhanced research practices, attitudes and requirements http://www.intersect.org.au/docs/eResearch%20survey%20full%20reportv1.0.pdf
#http://www.intersect.org.au/reports
#http://www.intersect.org.au/news/eresearch-survey-report

== The General Process ==
{| class="wikitable"
|+Data Life Cycle
! style="text-align:left;"| Plan
! Collect
! Process
! Analyze
! Store
! Share
! Reuse
|-
|?
|?
|?
|?
|?
|?
|?
|}


==== What do we use to plan data collection? ====
#reuse old data
#collect new data
#new forms
#new applications


==== What do we use to collect data? ====
#Notebooks
#Endnote (publications, notes etc.)
#Evernote
#Paper Forms
#Punch Cards
#Audio/Visual Media
#Remote Sensing data
#other technologies
#Apps
#etc.


==== What do we use Process Data / Store Data? ====
#Paper Forms
#Punch Card Reader
#Evernote
#Punch Card Reader
#Excel
#Access
#FileMake
#flat
#relational
#extended relational
#object-oriented
#object-relational
#network
#hierarchical
#tripple store
#quad store
#List of Vendors: https://cs.fit.edu/~pbernhar/dbms.html

==== How do we analyze data? ====
#sort / categorise
#filter
#query


==== What do we use to analyze data? ====
#human-based-computation
#digital-computation
#human-computer-computation

Software:
#dirtdirectory.org
#http://tapor-test.artsrn.ualberta.ca/home
#http://www.visualdataweb.org/relfinder/relfinder.php

==== Where do we store data? ====
Desk
#paper forms

Hard Drive
#text
#image
#sound
#3d
#Excel

Databases
#Access
#Wikis
#Drupal
#Jekyll
#Other

Paid Solutions
#EMu
#Elsevier
#JSTOR
#http://www.getty.edu/conservation/our_projects/field_projects/arches/
#Other

==== How do we share data? ====
[[File:LOD_Cloud_2014.svg.png|Linked Ope Data Cloud]]

#hard copies
#digital data
#ideas

#Australian Gov.Public Archives
##19 Heritage Organizations
##37 Gov. Heritage Bodies
##15 Non-Gov. Heritage Bodies
##http://www.environment.gov.au/heritage/organisations/

#Interdisciplinary
##Linked Open Data
###http://linkeddata.org/
###http://lod-cloud.net/
##Data Repositories
##Local Repositories
###http://www.researchspace.org/
##Discipline Specific Repositories
###http://papyri.info/
##Research Data Repositories
###http://www.re3data.org/
##Statistics
###http://www.nationmaster.com/au
###http://www.kdnuggets.com/datasets/index.html
##Open Access
###http://oad.simmons.edu/oadwiki/Data_repositories

How do we structure this data so we can make sense of it all?
#Schema
#Thesaurus
#Linked Data
#Metadata
#Ontology
#Inference