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Natasha Simons
#AM6 Data in the Scholarly
Communications Lifecycle
FORCE11 Scholarly Communications Institute
Monday 30 July – Friday 3 August 2018
San Diego, USA
Wednesday 1 August
Today’s course outline
• Debate: for and against open data (con’t from Tuesday)
• Managing working data – are you being FAIR to the future you?
• Hands-on with the Open Science Framework
• Introduction to the Carpentries
Link to slides: https://tinyurl.com/y9hmu7q4
Debate:
for and against open data
Class groups presentation
Managing working data –
are you being FAIR to the future you?
Are you being FAIR to the future you?
In 5 years time will my research data be:
• Findable – A top draw of USB drives and sticks isn’t always a good data archive
• Accessible – My new desktop doesn't have a DVD drive or what was the password on that
encrypted data drive?
• Interoperable – Wonder where I put my old copy of that software that compiles this binary
data file?
• Reusable – How accurate was that sensor network I used to gather these observations? Am
I allowed to reuse this data?
FAIR - Working Data | John Morrissey5 |
Slide credit: John Morrisey, CSIRO
FAIR Working Data
Findable by whom? How? Minimum viable metadata?
• Standardized naming conventions for folders and files
• Consider using Readme.txt files to describe content? Maybe you could include
metadata.txt or metadata.json files embedded in folders
• Think about what persistent identifiers are useful in your project.
• Do you need a basic registry to manage metadata?
FAIR - Working Data | John Morrissey6 |
Slide credit: John Morrisey, CSIRO
FAIR Working Data
Accessible by: Whom? How? What?
• How will you manage identity and access control?
• Shared storage resources – where?
• Will you use simple storage or a higher level platform like a shared eLab notebook
or database?
• What categories of data will you hold/share and which data assets need to be kept
long term?
FAIR - Working Data | John Morrissey7 |
Slide credit: John Morrisey, CSIRO
FAIR Working Data
Interoperable:
• What are the key standards currently applied to the projects domain/s?
• Are my data producing assets standards compliant? Do they need to be? What do I
have to do to convert my data assets to the correct format?
• Do we have a set of vocabularies we want to use within our project? Where are
they?
• Who can help me with my standards compliance work? (Librarians? IT Specialists?
Information Management Specialists?)
FAIR - Working Data | John Morrissey8 |
Slide credit: John Morrisey, CSIRO
FAIR Working Data
Reusable:
• Agree on a licencing framework before the project starts producing data
• What data assets need to be preserved long term?
• What data assets will we publish?
• Where will we publish?
• Who has contributed to the data asset and how will they be represented when
the data published
• Who will manage the long-term data archive?
FAIR - Working Data | John Morrissey9 |
Slide credit: John Morrisey, CSIRO
Who knows what this is?
Hands-on with the Open Science
Framework & intro to the
Carpentries
Reid Otsuji
University of California, San Diego
With the exception of third party images or where otherwise indicated, this work is licensed under the Creative
Commons 4.0 International Attribution Licence.
ANDS, Nectar and RDS are supported by the Australian Government through the National Collaborative Research
Infrastructure Strategy Program (NCRIS).
Natasha Simons
Associate Director, Skilled Workforce| Australian Research Data Commons
Industry Fellow | The University of Queensland
T: +61 7 3346 9991 | E: natasha.simons@ands.org.au | W: ands.org.au
ORCID: https://orcid.org/0000-0003-0635-1998 Tw: @n_simons
Thank you!

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Fsci 2018 wednesday1_august_am6

  • 1. Natasha Simons #AM6 Data in the Scholarly Communications Lifecycle FORCE11 Scholarly Communications Institute Monday 30 July – Friday 3 August 2018 San Diego, USA
  • 2. Wednesday 1 August Today’s course outline • Debate: for and against open data (con’t from Tuesday) • Managing working data – are you being FAIR to the future you? • Hands-on with the Open Science Framework • Introduction to the Carpentries Link to slides: https://tinyurl.com/y9hmu7q4
  • 3. Debate: for and against open data Class groups presentation
  • 4. Managing working data – are you being FAIR to the future you?
  • 5. Are you being FAIR to the future you? In 5 years time will my research data be: • Findable – A top draw of USB drives and sticks isn’t always a good data archive • Accessible – My new desktop doesn't have a DVD drive or what was the password on that encrypted data drive? • Interoperable – Wonder where I put my old copy of that software that compiles this binary data file? • Reusable – How accurate was that sensor network I used to gather these observations? Am I allowed to reuse this data? FAIR - Working Data | John Morrissey5 | Slide credit: John Morrisey, CSIRO
  • 6. FAIR Working Data Findable by whom? How? Minimum viable metadata? • Standardized naming conventions for folders and files • Consider using Readme.txt files to describe content? Maybe you could include metadata.txt or metadata.json files embedded in folders • Think about what persistent identifiers are useful in your project. • Do you need a basic registry to manage metadata? FAIR - Working Data | John Morrissey6 | Slide credit: John Morrisey, CSIRO
  • 7. FAIR Working Data Accessible by: Whom? How? What? • How will you manage identity and access control? • Shared storage resources – where? • Will you use simple storage or a higher level platform like a shared eLab notebook or database? • What categories of data will you hold/share and which data assets need to be kept long term? FAIR - Working Data | John Morrissey7 | Slide credit: John Morrisey, CSIRO
  • 8. FAIR Working Data Interoperable: • What are the key standards currently applied to the projects domain/s? • Are my data producing assets standards compliant? Do they need to be? What do I have to do to convert my data assets to the correct format? • Do we have a set of vocabularies we want to use within our project? Where are they? • Who can help me with my standards compliance work? (Librarians? IT Specialists? Information Management Specialists?) FAIR - Working Data | John Morrissey8 | Slide credit: John Morrisey, CSIRO
  • 9. FAIR Working Data Reusable: • Agree on a licencing framework before the project starts producing data • What data assets need to be preserved long term? • What data assets will we publish? • Where will we publish? • Who has contributed to the data asset and how will they be represented when the data published • Who will manage the long-term data archive? FAIR - Working Data | John Morrissey9 | Slide credit: John Morrisey, CSIRO
  • 10. Who knows what this is?
  • 11. Hands-on with the Open Science Framework & intro to the Carpentries
  • 12. Reid Otsuji University of California, San Diego
  • 13. With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence. ANDS, Nectar and RDS are supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program (NCRIS). Natasha Simons Associate Director, Skilled Workforce| Australian Research Data Commons Industry Fellow | The University of Queensland T: +61 7 3346 9991 | E: natasha.simons@ands.org.au | W: ands.org.au ORCID: https://orcid.org/0000-0003-0635-1998 Tw: @n_simons Thank you!