This is a presentation given in the framework of the #SCARBIO17 symposium, and describes some of the tools and products to help Antarctic Biologists to access raw biodiversity data and participate in ongoing community projects
5. – A N T A R C T I C T R E A T Y , A R T . I I I . 1 . C
“In order to promote international cooperation in
scientific investigation in Antarctica, […]
, the Contracting Parties agree that, to the greatest
extent feasible and practicable:
[…]Scientific observations and results from
Antarctica shall be exchanged and made freely
available”
7. P R A C T I C E S A N D P E R C E P T I O N S
• What scientists think other scientist should do
• 90% think scientists should freely share data with
other scientists after publication
• 30.5% think scientists should share data and
materials before publication
• What scientists actually do:
• Only 10% actually share data from published papers
Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, et al. (2011) Data Sharing by Scientists: Practices and Perceptions.
PLoS ONE 6(6): e21101. doi:10.1371/journal.pone.0021101
8. C O M M O N C O N C E R N S
• future publishing opportunities
• data has taken many years to produce
• effort involved in accessing and sharing datasets
Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, et al. (2011) Data Sharing by Scientists: Practices and Perceptions.
PLoS ONE 6(6): e21101. doi:10.1371/journal.pone.0021101
11. A D V A N T A G E S O F P U B L I S H I N G
D A T A
• use of resources is optimised
• well-managed, long-term preservation helps retain
data integrity
• re-analysis of data helps verify results
• different approaches to existing data contribute to
scientific progress
Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, et al. (2011) Data Sharing by Scientists: Practices and Perceptions.
PLoS ONE 6(6): e21101. doi:10.1371/journal.pone.0021101
13. I ’ M O N M Y O W N ( B U T I H A V E A
D A T A S E T )
• that’s ok…
• no dataset is too small, no organism is unimportant:
document and publish it!
• get in touch
14. I ’ M I N A N E M E R G I N G N E T W O R K
• well done… you’re not on your own
anymore
• check how your work connects to other
networks (and how this translates in
information flows)
• get in touch, we can help
• publish your data as you go, and before
your network morphs into something else…
15. I ’ M B A C K F R O M A N E X P E D I T I O N
• take some time off with your family
• get in touch for help
• capture and document the data you’ve produced
16. I ’ M D R A F T I N G A R E S E A R C H
P R O P O S A L
• good luck with that…
• we can help with the DM
plan (standards,
repositories, good
practices…)
• get in touch
17. I W A N N A
C R U N C H D A T A
• nobody’s perfect…
• we can help you identify similar
initiatives so you can join the
happy crowd(s)
• we’ll also help you to valorise
your model outputs
• get in touch
18. S O H O W D O I “ G E T I N T O U C H ”
• biodiversity.aq: Anton Van
de Putte (RBINS)
• EG-ABI: Bruno Danis
(ULB) or Ben Raymond
(AAD)
• SCAR: Jenny Baeseman
• In doubt? all of us…
19. S O W H A T ’ S O U T T H E R E
A N D W H Y D O Y O U C A L L I T A N E C O S Y S T E M A N Y W A Y ? ?
20. T H E
A N T A R C T I C
M A S T E R
D I R E C T O R Y
M E T A D A T A
21. T H E
R E G I S T E R O F
A N T A R C T I C
S P E C I E S
T A X O N O M Y
69 experts from 18 countries
27,123 taxa and 12,063 species
86% taxonomically accepted
Expansion into the terrestrial realm
25. R A A T D
B I O D I V E R S I T Y
64 contributors ,12 national Antarctic
programs, 17 predator species, 4041
individual animals, over 2.9 million
observed locations
26. S O D I E T A N D
E N E R G E T I C S
D A T A B A S E
B I O D I V E R S I T Y
20 contributors, 7 national Antarctic
programs, dietary sample data on 1085
taxa, stable isotope data on 235 taxa
27. R E P O S I T O R I E
S
C O D E
https://github.com/SCAR
28. I N T E G R A T E D
P U B L I S H I N G
T O O L K I T
P U B L I S H
30. D A T A I S O P E N , L I N K E D , U S E F U L ,
I N T E R O P E R A B L E A N D S A F E
O U R V I S I O N
anis, B., Tomlinson, S., & Carlson, D. (2011). A conceptual framework for managing very diverse data for complex, interdisciplinary science. Journal of Information Scie