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Digitalisering og GBIF
Registering av samlinger i GrSciColl og Wikidata og publisering av samlingsdata i GBIF
Dag Endresen - GBIF Norge
Universitetet i Oslo, Naturhistorisk museum
Norges museumsforbund, NHMO Tøyen | 24th November 2021
Illustration: GBIF data portal
GBIF IS A “FAIR” & OPEN BIODIVERSITY DATA INFRASTRUCTURE
new possibilities for novel curiosity-driven research
Open Science
Traditional
biodiversity science
Biodiversity Informatics
WHY SHOULD MUSEUMS CARE ABOUT OPEN SCIENCE?
WHY APPROACH OPEN SCIENCE IN MUSEUMS?
v We are in the middle of an ongoing paradigm
shift in scientific practice (and impact metrics).
v Natural History Museums will need to develop
different approaches, than they needed in the
past – to remain relevant.
v Society is gaining Big Data maturity and will
expect new services from museum collections.
v The open science wave is moving fast!
OPPORTUNITIES
● Enables new research
methodologies that were not
possible before.
● Skills for open research and open
data are in increasing demand!
● Funding opportunities.
● GBIF brings new benefits and
opportunities for our museums.
Intergovernmental network and
research infrastructure
Provides anyone, anywhere,
free and open access to data
about all types of life on Earth
Voluntary collaboration through
Memorandum of Understanding
(MoU)
Participant nodes, Secretariat in
Copenhagen, Denmark
WHAT IS GBIF?
https://www.gbif.org
GBIF PARTICIPANT COUNTRIES
https://www.gbif.org/the-gbif-network
41 Voting Participants
20 Associate Countries
41 Other Associate
1757 Data publishers
Map updated 2021-11-08
BY THE NUMBERS | 24TH NOVEMBER 2021
61
Country
Participants
40
Organizational
Participants
6 445
Peer-review papers
using data
1 901 420 908
Species occurrence records
63 640
Datasets
1 762
Publishers
23.6 billion
Average records downloaded per month
BY THE NUMBERS | 15TH NOVEMBER 2021 -- NORWAY
152
Peer-review papers
using data (co-author
from Norway
44 389 560
Species occurrence records (published from)
323
Datasets (published from)
33
Publishers
(from Norway)
Animalia
Plantae
Other
biodiversity data types
A WINDOW ON EVIDENCE ABOUT WHERE SPECIES HAVE LIVED, AND WHEN
https://www.gbif.org/occurrence/search
Digitized
specimens
Observations
Literature
Remote-sensing
Environmental
DNA
Common
standards
(DwC)
Data publishing
and indexing
Data discovery and use
SOURCES OF DATA IN GBIF: DIGITIZED MUSEUM COLLECTION SPECIMENS
data coverage
Map updated 8th
November 2021
DATA TRENDS ON GBIF.org
https://www.gbif.org/analytics/global
% specimens
Very few museum
specimens are digitized
Natural history museum collections
worldwide conserve an estimated
1.2 - 3 billion specimens
(Ariño 2010; Duckworth et al. 1993)
GBIF publishes 1,9 billion records –
including 200 million specimens
approx. 10% coverage?
Photo: Botany Collection, Algae, Smithsonian National Museum
of Natural History Museum, by Chip Clark.
https://wiki.uio.no/nhm/skf/best-practices/index.php/Samlingstall
0
500000
1000000
1500000
2000000
2500000
3000000
Botaniske Zoologiske Geologiske Paleotologiske
Specimens at UiO NHM (approx 52% digitized)
Digitalisert Ikke digitalisert
83%
22%
63%
52%
data use
PEER-REVIEWED PUBLICATIONS USING GBIF-MEDIATED DATA
https://www.gbif.org/resource/search?contentType=literature&literatureType=journal&relevance=GBIF_USED&peerReview=true
55
93
146
159
231
247
376
412
482
709
690
779
1024
846
0 200 400 600 800 1 000 1 200
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
Almost 3 papers each day
#CiteTheDOI
Jan to 9th
Nov 2021
A DATA RESOURCE TO SUPPORT RESEARCH AND SUSTAINABLE DEVELOPMENT
Conservation
- Protected areas
- Threatened species
- Invasive species risk
Food security
- Crop wild relatives
- In situ, ex situ
conservation of
genetic diversity
- Fisheries planning
Climate change
- Modelling impacts on
species ranges
- Adaptation strategies
- Mitigation benefits,
risks
Human health
- Disease risk based on
occurrence of vectors,
hosts, reservoirs
- Medicinal plants
- Hazards e.g. snakebite
https://www.gbif.org/science-review
INCENTIVE FOR DATA REUSE
To incentivize the sharing
of useful data, the scientific
enterprise needs a well-
defined system that links
individuals with reuse of
data sets they generate
Pierce et al. Credit data generators for data
reuse, Nature 6 June 2019
DATA CITATION - A NEW CURRENCY OF SCIENCE
● Peer-reviewed scholarly papers in high impact journals
still maintain considerable weight for impact metrics.
● A movement is under way to build similar status for open
data, open metadata, open material samples, and other
open access scientific research products…
FAIR data is about machine-readable data
researchers & museums need to do more than simply post their data on the web for it to be re-usable.
MACHINE-READABILITY REQUIRES PERSISTENT IDENTIFIERS
The purpose of identifiers is
… to name things
… making it possible to refer to them
● To uniquely identify something it needs a persistent identifier, a PID.
● A Persistent Identifier is globally unique, persistent, and resolvable“.
● A PID is resolvable when it allows both human and machine users to access an object or its
representation, and its Kernel Information.
● Kernel Information is a structured record that contains information (metadata) about the referred object,
such as a pointer to the location where the data for the object can be found.
#CiteTheDOI
GBIF started issuing DOIs on 3 February 2015
HOW TO CITE DATA MEDIATED BY GBIF
1. Download data from GBIF.org
2. and receive recommended citation with a download DOI
3. Cite the DOI in published research or other work
Example: GBIF.org (9 November 2021) GBIF Occurrence Download https//doi.org/10.15468/dl.xxxxxx
https://www.gbif.org/citation-guidelines #CiteTheDOI
DOI BASED DATA CITATION AT GBIF.ORG
NTNU Vascular plants: https://doi.org/10.15468/zrlqok
citations papers
dataset
#CiteTheDOI
Source dataset #1
Source dataset #2
Source dataset #3
GBIF download
Publish
datasets
in GBIF
Final state of data
Dataset DOIs Download DOI Bibliographic DOI
Analyze
& publish
Process &
archive
institutionID
collectionID
Filter &
download
materialSampleID
identifiedByID
Source dataset #1
Source dataset #2
Source dataset #3
GBIF download
Publish
datasets
in GBIF
Final state of data
Dataset DOIs Download DOI Bibliographic DOI
Analyze
& publish
Process &
archive
institutionID
collectionID
Filter &
download
materialSampleID
identifiedByID
Source dataset #1
Source dataset #2
Source dataset #3
GBIF download
Publish
datasets
in GBIF
Final state of data
Dataset DOIs Download DOI Bibliographic DOI
Analyze
& publish
Process &
archive
institutionID
collectionID
Filter &
download
materialSampleID
identifiedByID
GBIF &
IDENTIFIERS
https://www.gbif.org/occurrence/1095052193
Dataset: Vascular Plant
Herbarium, Oslo (O) UiO
Publisher: University of Oslo
Catalogue number: 2007334
Catalogue number 2007334
Occurrence ID urn:catalog:O:V:2007334
Other catalogue numbers urn:uuid:0574816d-3d99-41b8-b3b8-c6035de0e929
Event date 1971-01-04
Recorded by Johannes Lid
Recorded by ID http://www.wikidata.org/entity/Q94522
Date identified 1971-01-04T00:00:00
Identified by Johannes Lid
Identified by ID http://www.wikidata.org/entity/Q94522
Dataset: Vascular Plant
Herbarium, Oslo (O) UiO
Publisher: University of Oslo
Catalogue number: 2007334
ROR for museums
ORCID for curators
DOI for datasets
(GRSciColl UUID for collections)
will enable the linking of museum
collection specimens to scientific
litterature and scientific actors
(authors, curators, etc)
Digital Object Identifier (DOI)
Open Researcher and Contributor ID (ORCID)
Research Organisation Registry (ROR)
Global Registry of Scientific Collections
GRSciColl was established at Smithsonian in 2013
Hosting of GRSciColl was transferred to GBIF in 2019
GRSCICOLL
• The Global Registry of Scientific
Collections (GRSciColl) was a
community-curated clearing house of
colletions information developed by
the Consortium of the Barcode of
Life (CBOL) – launched in 2013.
• Hosting the GRSciColl was
transferred to GBIF in 2018 and the
upgraded portal came back online in
2019.
https://www.gbif.org/grscicoll/institution/search?q=Norway
GRSCICOLL
• 8 085 collection-holding institutions
• 6 405 scientific collections
• 16 943 collection staff members
• https://www.gbif.org/grscicoll
https://www.gbif.org/grscicoll/collection/search?q=norway
INSTITUTION IDENTIFIERS FOR SOME OF THE MUSEUMS IN NORWAY
Museumd ROR ID Wikidata GRSciColl GBIF publisher institution
Universitetet I Agder (UiA)
Agder naturmuseum og botaniske hage
03x297z98
--
Q3375341 --
KMN
826d1920-7f5c-4091-a84e-668aa2e35b61
--
Norsk Skogmuseum 008qm8389 Q81181481 -- --
Helgeland Museum
Rana Museum
02gyhy076
--
Q11057676
Q11997066
Helgeland
--
a030b53d-7ab0-41dc-8ca7-77f65d5c8157
--
Midt-Troms Museum
Balsfjord Fjordmuseum og Våtmarkssenter
--
--
Q12327078
Q105533121
--
MTMU Bjalsfjord
--
9e8e7946-cd17-4c58-81c1-dc8bef359360
Museum Stavanger (MUST) 03bq5ar94 Q19382034 MUST ecc5cd9e-2d25-4b8d-89c8-a0711eee813b
Universitetet I Oslo (UiO)
Naturhistorisk museum i Oslo (NHMO)
Botanisk museum (Oslo herbarium - O)
01xtthb56
--
--
Q486156
Q1840963
Q2036576
UiO
NHMO
O
f314b0b0-e3dc-11d9-8d81-b8a03c50a862
--
--
Randsfjordmuseene AS -- Q11997108 -- --
Universitetet I Tromsø (UiT)
Tromsø Museum, Universitetsmuseet
00wge5k78
--
Q279724
Q1686510
UiT
(TROM)
689b40c4-ff31-4cd0-83a5-a7a828f1cd92
--
Varanger Museum -- Q12009007 -- --
Norges Teknisk Naturvitenskapelige Universitet (NTNU)
Vitenskapsmuseet
05xg72x27
--
Q314536
Q1770886
TRH
NTNU-VM
a8144f37-5ff7-4137-9400-94b5b2ea4ec4
--
BIONOMIA
https://bionomia.net
Link natural history specimens
to the world's collectors.
Neste innlegg: Eirik Rindal
THANK YOU
www.gbif.org
GBIF Norway
Hugo de Boer | Head of Delegation
Dag Endresen | Node Manager
helpdesk@gbif.no

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GBIF & GRScicoll, Høstseminar Norges museumsforbunds Seksjon for natur, 2021-11-24

  • 1. Digitalisering og GBIF Registering av samlinger i GrSciColl og Wikidata og publisering av samlingsdata i GBIF Dag Endresen - GBIF Norge Universitetet i Oslo, Naturhistorisk museum Norges museumsforbund, NHMO Tøyen | 24th November 2021 Illustration: GBIF data portal
  • 2. GBIF IS A “FAIR” & OPEN BIODIVERSITY DATA INFRASTRUCTURE
  • 3. new possibilities for novel curiosity-driven research Open Science Traditional biodiversity science Biodiversity Informatics
  • 4. WHY SHOULD MUSEUMS CARE ABOUT OPEN SCIENCE?
  • 5. WHY APPROACH OPEN SCIENCE IN MUSEUMS? v We are in the middle of an ongoing paradigm shift in scientific practice (and impact metrics). v Natural History Museums will need to develop different approaches, than they needed in the past – to remain relevant. v Society is gaining Big Data maturity and will expect new services from museum collections. v The open science wave is moving fast!
  • 6. OPPORTUNITIES ● Enables new research methodologies that were not possible before. ● Skills for open research and open data are in increasing demand! ● Funding opportunities. ● GBIF brings new benefits and opportunities for our museums.
  • 7.
  • 8. Intergovernmental network and research infrastructure Provides anyone, anywhere, free and open access to data about all types of life on Earth Voluntary collaboration through Memorandum of Understanding (MoU) Participant nodes, Secretariat in Copenhagen, Denmark WHAT IS GBIF? https://www.gbif.org
  • 9. GBIF PARTICIPANT COUNTRIES https://www.gbif.org/the-gbif-network 41 Voting Participants 20 Associate Countries 41 Other Associate 1757 Data publishers Map updated 2021-11-08
  • 10. BY THE NUMBERS | 24TH NOVEMBER 2021 61 Country Participants 40 Organizational Participants 6 445 Peer-review papers using data 1 901 420 908 Species occurrence records 63 640 Datasets 1 762 Publishers 23.6 billion Average records downloaded per month
  • 11. BY THE NUMBERS | 15TH NOVEMBER 2021 -- NORWAY 152 Peer-review papers using data (co-author from Norway 44 389 560 Species occurrence records (published from) 323 Datasets (published from) 33 Publishers (from Norway) Animalia Plantae Other
  • 13. A WINDOW ON EVIDENCE ABOUT WHERE SPECIES HAVE LIVED, AND WHEN https://www.gbif.org/occurrence/search Digitized specimens Observations Literature Remote-sensing Environmental DNA Common standards (DwC) Data publishing and indexing Data discovery and use
  • 14. SOURCES OF DATA IN GBIF: DIGITIZED MUSEUM COLLECTION SPECIMENS
  • 17. DATA TRENDS ON GBIF.org https://www.gbif.org/analytics/global % specimens
  • 18. Very few museum specimens are digitized Natural history museum collections worldwide conserve an estimated 1.2 - 3 billion specimens (Ariño 2010; Duckworth et al. 1993) GBIF publishes 1,9 billion records – including 200 million specimens approx. 10% coverage? Photo: Botany Collection, Algae, Smithsonian National Museum of Natural History Museum, by Chip Clark.
  • 19. https://wiki.uio.no/nhm/skf/best-practices/index.php/Samlingstall 0 500000 1000000 1500000 2000000 2500000 3000000 Botaniske Zoologiske Geologiske Paleotologiske Specimens at UiO NHM (approx 52% digitized) Digitalisert Ikke digitalisert 83% 22% 63% 52%
  • 21. PEER-REVIEWED PUBLICATIONS USING GBIF-MEDIATED DATA https://www.gbif.org/resource/search?contentType=literature&literatureType=journal&relevance=GBIF_USED&peerReview=true 55 93 146 159 231 247 376 412 482 709 690 779 1024 846 0 200 400 600 800 1 000 1 200 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Almost 3 papers each day #CiteTheDOI Jan to 9th Nov 2021
  • 22. A DATA RESOURCE TO SUPPORT RESEARCH AND SUSTAINABLE DEVELOPMENT Conservation - Protected areas - Threatened species - Invasive species risk Food security - Crop wild relatives - In situ, ex situ conservation of genetic diversity - Fisheries planning Climate change - Modelling impacts on species ranges - Adaptation strategies - Mitigation benefits, risks Human health - Disease risk based on occurrence of vectors, hosts, reservoirs - Medicinal plants - Hazards e.g. snakebite https://www.gbif.org/science-review
  • 23. INCENTIVE FOR DATA REUSE To incentivize the sharing of useful data, the scientific enterprise needs a well- defined system that links individuals with reuse of data sets they generate Pierce et al. Credit data generators for data reuse, Nature 6 June 2019
  • 24. DATA CITATION - A NEW CURRENCY OF SCIENCE ● Peer-reviewed scholarly papers in high impact journals still maintain considerable weight for impact metrics. ● A movement is under way to build similar status for open data, open metadata, open material samples, and other open access scientific research products…
  • 25. FAIR data is about machine-readable data researchers & museums need to do more than simply post their data on the web for it to be re-usable.
  • 26. MACHINE-READABILITY REQUIRES PERSISTENT IDENTIFIERS The purpose of identifiers is … to name things … making it possible to refer to them ● To uniquely identify something it needs a persistent identifier, a PID. ● A Persistent Identifier is globally unique, persistent, and resolvable“. ● A PID is resolvable when it allows both human and machine users to access an object or its representation, and its Kernel Information. ● Kernel Information is a structured record that contains information (metadata) about the referred object, such as a pointer to the location where the data for the object can be found.
  • 27. #CiteTheDOI GBIF started issuing DOIs on 3 February 2015
  • 28. HOW TO CITE DATA MEDIATED BY GBIF 1. Download data from GBIF.org 2. and receive recommended citation with a download DOI 3. Cite the DOI in published research or other work Example: GBIF.org (9 November 2021) GBIF Occurrence Download https//doi.org/10.15468/dl.xxxxxx https://www.gbif.org/citation-guidelines #CiteTheDOI
  • 29. DOI BASED DATA CITATION AT GBIF.ORG NTNU Vascular plants: https://doi.org/10.15468/zrlqok citations papers dataset #CiteTheDOI
  • 30. Source dataset #1 Source dataset #2 Source dataset #3 GBIF download Publish datasets in GBIF Final state of data Dataset DOIs Download DOI Bibliographic DOI Analyze & publish Process & archive institutionID collectionID Filter & download materialSampleID identifiedByID
  • 31. Source dataset #1 Source dataset #2 Source dataset #3 GBIF download Publish datasets in GBIF Final state of data Dataset DOIs Download DOI Bibliographic DOI Analyze & publish Process & archive institutionID collectionID Filter & download materialSampleID identifiedByID
  • 32. Source dataset #1 Source dataset #2 Source dataset #3 GBIF download Publish datasets in GBIF Final state of data Dataset DOIs Download DOI Bibliographic DOI Analyze & publish Process & archive institutionID collectionID Filter & download materialSampleID identifiedByID
  • 33. GBIF & IDENTIFIERS https://www.gbif.org/occurrence/1095052193 Dataset: Vascular Plant Herbarium, Oslo (O) UiO Publisher: University of Oslo Catalogue number: 2007334
  • 34. Catalogue number 2007334 Occurrence ID urn:catalog:O:V:2007334 Other catalogue numbers urn:uuid:0574816d-3d99-41b8-b3b8-c6035de0e929 Event date 1971-01-04 Recorded by Johannes Lid Recorded by ID http://www.wikidata.org/entity/Q94522 Date identified 1971-01-04T00:00:00 Identified by Johannes Lid Identified by ID http://www.wikidata.org/entity/Q94522 Dataset: Vascular Plant Herbarium, Oslo (O) UiO Publisher: University of Oslo Catalogue number: 2007334
  • 35. ROR for museums ORCID for curators DOI for datasets (GRSciColl UUID for collections) will enable the linking of museum collection specimens to scientific litterature and scientific actors (authors, curators, etc) Digital Object Identifier (DOI) Open Researcher and Contributor ID (ORCID) Research Organisation Registry (ROR)
  • 36. Global Registry of Scientific Collections GRSciColl was established at Smithsonian in 2013 Hosting of GRSciColl was transferred to GBIF in 2019
  • 37. GRSCICOLL • The Global Registry of Scientific Collections (GRSciColl) was a community-curated clearing house of colletions information developed by the Consortium of the Barcode of Life (CBOL) – launched in 2013. • Hosting the GRSciColl was transferred to GBIF in 2018 and the upgraded portal came back online in 2019. https://www.gbif.org/grscicoll/institution/search?q=Norway
  • 38. GRSCICOLL • 8 085 collection-holding institutions • 6 405 scientific collections • 16 943 collection staff members • https://www.gbif.org/grscicoll https://www.gbif.org/grscicoll/collection/search?q=norway
  • 39. INSTITUTION IDENTIFIERS FOR SOME OF THE MUSEUMS IN NORWAY Museumd ROR ID Wikidata GRSciColl GBIF publisher institution Universitetet I Agder (UiA) Agder naturmuseum og botaniske hage 03x297z98 -- Q3375341 -- KMN 826d1920-7f5c-4091-a84e-668aa2e35b61 -- Norsk Skogmuseum 008qm8389 Q81181481 -- -- Helgeland Museum Rana Museum 02gyhy076 -- Q11057676 Q11997066 Helgeland -- a030b53d-7ab0-41dc-8ca7-77f65d5c8157 -- Midt-Troms Museum Balsfjord Fjordmuseum og Våtmarkssenter -- -- Q12327078 Q105533121 -- MTMU Bjalsfjord -- 9e8e7946-cd17-4c58-81c1-dc8bef359360 Museum Stavanger (MUST) 03bq5ar94 Q19382034 MUST ecc5cd9e-2d25-4b8d-89c8-a0711eee813b Universitetet I Oslo (UiO) Naturhistorisk museum i Oslo (NHMO) Botanisk museum (Oslo herbarium - O) 01xtthb56 -- -- Q486156 Q1840963 Q2036576 UiO NHMO O f314b0b0-e3dc-11d9-8d81-b8a03c50a862 -- -- Randsfjordmuseene AS -- Q11997108 -- -- Universitetet I Tromsø (UiT) Tromsø Museum, Universitetsmuseet 00wge5k78 -- Q279724 Q1686510 UiT (TROM) 689b40c4-ff31-4cd0-83a5-a7a828f1cd92 -- Varanger Museum -- Q12009007 -- -- Norges Teknisk Naturvitenskapelige Universitet (NTNU) Vitenskapsmuseet 05xg72x27 -- Q314536 Q1770886 TRH NTNU-VM a8144f37-5ff7-4137-9400-94b5b2ea4ec4 --
  • 40. BIONOMIA https://bionomia.net Link natural history specimens to the world's collectors. Neste innlegg: Eirik Rindal
  • 41. THANK YOU www.gbif.org GBIF Norway Hugo de Boer | Head of Delegation Dag Endresen | Node Manager helpdesk@gbif.no