23 Research Data ThingsResearch Data Coordinator

Katina Toufexis

How do I access the 23 Things?

Overview

• ands.org.au/23-things

How often do I need to do a Thing?

• 1 Thing is released each week

• Complete at your own pace

UWA participation

• Monthly catch-ups in BJM which include a

national ANDS webinar

• Discussions in our Google + UWA-only group

Calendar of Events

Week Mon Tue Wed Thu Fri1 MarchKick-off Webinar

2 3 4

1 - Getting started with data 7 8 9 10 11

2 - Issues in research data management 14 15 16 17 183 - Data in the research lifecycle 21 22 23 24 25Easter Week 28 29 30 31 1 April

4 - Repositories for data discovery 4 5 6 7 811 12

Webinar Catch-up13 14 15

5 - Repositories for data sharing 18 19 20 21 226 - Long-lived data: curation & preservation 25 26 27 28 297 - Data citation for access & attribution 2 May 3 4 5 68 - Citation metrics for data 9 10 11 12 139 - Licensing data for reuse 16 17 18 19 20

23 24Webinar Catch-up

25 26 27

10 - Sharing sensitive data 30 31 1 June 2 311 - What's my schema? 6 7 8 9 1012 - Vocabularies for data description 13 14 15 16 1713 - Walk the crosswalk 20 21 22 23 24

27 28Webinar Catch-up

29 30 1 July

14 - Identifiers and linked data 4 5 6 7 811 12 13 14 15

15 - Data management plans 18 19 20 21 2216 - What are publishers & funders saying about data?

25 26 27 28 29

1 August 2Webinar Catch-up

3 4 5

17 - Data literacy & outreach 8 9 10 11 1218 - Data interviews: talk the talk 15 16 17 18 1919 - Exploring APIs and Apps 22 23 24 25 2620 - Do it with data! 29 30 31 1 September 2

5 6Webinar Catch-up

7 8 9

12 13 14 15 16

21 - Tools of the trade 19 20 21 22 2322 - What's in a name? 26 27 28 29 3023 - Making connections 3 October 4 5 6 7

10 11 12 13 14

17 18Webinar Catch-up

19 20 21

Calendar of Events

Catch-up webinars and topic review at BJM

each month in 2016

• 1 March

• 12 April

• 24 May

• 28 June

• 2 August

• 6 September

• 18 October

ANDS Website

ANDS Meetup site

UWA-only Discussion Group

Invitations have been sent out

Getting started with research data

• What "research data" are we talking about?

Thing 1

• Open up this

record of research

data collected during

a CSIRO voyage

which explored the

sea floor (i.e.

Benthic zone) of the

Marmion Lagoon,

located just off

Perth, in 2007

Thing 1

• Click on Data tab

Thing 1

• Protein

Data Bank

Thing 1

• your favourite research data tech or software story or

experience (eg did you compete in GovHack 2015? or

Science Hackfest Melbourne 4-6 March 2016?)

• a software tool or service for research data you think others

might be interested in

• a question or research data problem to crowdsource a

solution

Thing 1

Thing 1

Thing 1

Issues in research data management

Research data is for everyone. Governments and universities

all around Australia and the world are now encouraging

researchers to better manage their data so others can use it.

Research data might be critical to solving the big questions of

our time, but so much data are being lost or poorly managed.

Thing 2

Issues in research data management

• https://www.yout

ube.com/watch?

v=66oNv_DJuPc

• As you watch the

cartoon note the

data

management

mistakes which

interest or appal

you.

Thing 2

Issues in research data management

"Big Data" is a term we're hearing with

increasing frequency. Data management

for Big Data brings much complexity -

citing dynamic data, software, high volume

compute, storage costs, transfer of

petabytes of data, preservation,

provenance, more.

• Read this post and presentation titled:

"Big Data: The 5Vs Everyone Must

Know.

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Issues in research data management

Thing 2

Thing 3

• Laboratory Notebooks are used by researchers to formally record their

research activities. As research has become increasingly digital and

collaborative the utility of traditional hard copy Lab Notebooks has been

challenged. Not surprisingly then, eLab Notebooks (ELN) have emerged

as an alternative.

• Effective data management for constantly updated data, such as that

within ELNs, is a real challenge for projects who wish to publish their

data during the project.

Thing 2

Issues in research data management

• Definition

Electronic lab notebook (ELN) software allows scientists to access, search

and share results of their experiments. An ELN is essentially a computer

program that is meant to replace traditional paper laboratory notebooks so

that scientists and researchers can search their records more easily and have

more efficient means to backup and copy their data onto other electronic

devices. ELNs encourage collaboration, as it is possible for multiple

researchers or scientists to view lab data at the same time. ELNs also have

the capacity to work alongside other research instruments so that additional

data can be incorporated quickly and efficiently. ELNs should be supported by

strong security measures to ensure that the data and the researchers’

process of creating the data are not jeopardized in any way. Additionally ELNs

should be flexible to change if a particular research process is altered or new

data is required. This flexibility is best addressed when developing the

specific software for an ELN.

Thing 2

Issues in research data management

• International team of scientists

open sources search for malaria

cure about how an international

team of scientists and citizen

scientists are using open source

ELNs to speed up a cure for

malaria.

Thing 2

Issues in research data

management

• You can see their

open ELNs here

Thing 2

Issues in research data

management

• You can see their

open ELNs here

Thing 2

Issues in research

data management

Thing 2

Issues in research

data management

http://www.wellcome.ac.uk/News/Media-office/Press-releases/2016/WTP060169.htm

Data in the research lifecycle

• Data and its management change over time. Here we look at data and

research lifecycles and make connections between them.

• Data often have a longer lifespan than the research project that creates

them.

• Follow-up projects may analyse or add to the data, and data may be

reused by other researchers.

• Journals publishers are increasingly mandating that the data underpinning

a journal article be retained and made accessible for the long term.

Thing 3

Data in the research lifecycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

Data in the research lifecycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

Data in the research lifecycle

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Data in the research lifecycle

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Data in the research lifecycle

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Data in the research lifecycle

Thing 3

http://www.data-archive.ac.uk/create-

manage/life-cycle

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Data in the research lifecycle

Thing 3

• A data lifecycle shows the

different phases a dataset

goes through as the

research project moves

from

o "having a brilliant idea" to

o "making ground breaking

discoveries" to

o "telling the world about it"

Thing 3

Data in the research lifecycle

http://www.dcc.ac.uk/resources/curation-lifecycle-model

• Digital Curation

Centre

• Take a look at the

DCC Curation

Lifecycle Model

which

concentrates of

preservation and

curation within

data

management.

Thing 3

Data in the research lifecycle

http://www.dcc.ac.uk/resources/curation-lifecycle-model

• What could we

add???

Thing 3

Data in the research lifecycle

http://www.dcc.ac.uk/resources/curation-lifecycle-model

Thing 3

Data in the research lifecycle

Thing 3

Data in the research lifecycle

http://www.library.uwa.edu.au/research/services

Data Discovery

• Repositories enable discovery of data by publishing data descriptions

("metadata") about the data they hold - like a library catalogue describes

the materials held in a library.

• Most repositories provide access to the data itself, but not always.

Thing 4

Data Discovery

• Data portals or aggregators draw together research data records from a

number of repositories.

• eg Research Data Australia (RDA) aggregates records from over 100

Australian research repositories.

• https://researchdata.ands.org.au/measuring-effects-human-leptonychotes-

weddellii/640511/

Thing 4

Data Discovery

Thing 4

Data Discovery

Thing 4

Data Discovery

Thing 4

Data Discovery

Thing 4

Data Discovery

Thing 4

• What data repositories exist and how are Australian researchers sharing

their data?

• Start by going to re3data.org

Data Discovery

Thing 4

• There are 61

repositories

listed for

Australia.

Data Discovery

Thing 4

• There are 61

repositories

listed for

Australia.

Data Discovery

Thing 4

What makes a "good" data repository?

Data Discovery

Thing 4

DCC checklist for evaluating data repositories

What does this checklist cover and what does it exclude?

Choosing a long-term service to look after data means asking questions similar to

those you ask when choosing a publisher; ‘if I hand this over, will they review it,

safeguard the content, and make sure it is accessible for as long as it is of

value?’ This checklist relates these questions to the following key considerations:

1. Is a reputable repository available?

2. Will it take the data you want to deposit?

3. Will it be safe in legal terms?

4. Will the repository sustain the data value?

5. Will it support analysis and track data usage?

See more at: http://www.dcc.ac.uk/resources/how-guides-checklists/where-keep-

research-data#1

Contacts

Contact UWA 23 Things Coordinators:

Caroline Clark

caroline.clark@uwa.edu.au

Nola Steiner

nola.steiner@uwa.edu.au

Katina Toufexis

katina.toufexis@uwa.edu.au