This document summarizes Johannes Keizer's presentation on open access and open data in agriculture. It discusses the increasing amount of scientific data being generated and challenges around data sharing. It presents initiatives like CIARD and AIMS that aim to make agricultural research data publicly accessible. It also discusses the Research Data Alliance and efforts to establish data sharing policies and standards to encourage researchers to share data in their domains.
For our September 19th lecture... Tim Berners-Lee's 5-Star Open Data scheme.
Who is Tim Berners-Lee? What is the 5-Star Open Data scheme? We will be giving an introduction to open data and how to apply the 5-Star Open Data scheme to an open data program.
Wikidata: Verifiable, Linked Open Knowledge That Anyone Can EditDario Taraborelli
Slides for my September 23 talk on Wikidata and WikiCite – NIH Frontiers in Data Science lecture series.
Persistent URL: https://dx.doi.org/10.6084/m9.figshare.3850821
Making Data FAIR on WikiData - Andra WaagmeesterOpenAIRE
Making Data FAIR on WikiData presented by Andra Waagmeester during the OpenAIRE workshop Services to support FAIR data, Vienna: https://www.openaire.eu/openaire-workshop-making-services-fair-vienna-april-24th-2019
GBIF data publishing. GBIF seminar in Bergen. 2016-12-14Dag Endresen
GBIF data publishing seminar at the Department for Biology at the University of Bergen. http://www.gbif.no/events/2016/data-publishing-seminar-in-bergen.html
Slides from presentation to students undertaking the MSc in Spatial Data Management at DIT Bolton St. in Ireland. Presentation given by Richard Cantwell, 10th December 2010.
This is one out of a series of presentations which I have given during a recent trip to the United States. I will make them all public, but content does not vary a lot between some of them
For our September 19th lecture... Tim Berners-Lee's 5-Star Open Data scheme.
Who is Tim Berners-Lee? What is the 5-Star Open Data scheme? We will be giving an introduction to open data and how to apply the 5-Star Open Data scheme to an open data program.
Wikidata: Verifiable, Linked Open Knowledge That Anyone Can EditDario Taraborelli
Slides for my September 23 talk on Wikidata and WikiCite – NIH Frontiers in Data Science lecture series.
Persistent URL: https://dx.doi.org/10.6084/m9.figshare.3850821
Making Data FAIR on WikiData - Andra WaagmeesterOpenAIRE
Making Data FAIR on WikiData presented by Andra Waagmeester during the OpenAIRE workshop Services to support FAIR data, Vienna: https://www.openaire.eu/openaire-workshop-making-services-fair-vienna-april-24th-2019
GBIF data publishing. GBIF seminar in Bergen. 2016-12-14Dag Endresen
GBIF data publishing seminar at the Department for Biology at the University of Bergen. http://www.gbif.no/events/2016/data-publishing-seminar-in-bergen.html
Slides from presentation to students undertaking the MSc in Spatial Data Management at DIT Bolton St. in Ireland. Presentation given by Richard Cantwell, 10th December 2010.
This is one out of a series of presentations which I have given during a recent trip to the United States. I will make them all public, but content does not vary a lot between some of them
How open data contribute to improving the world. The life science use case. The technical, social, ethical issues.
This was a talk given within the iGEM 2020 programme by the London Imperial College students group (https://2020.igem.org/Team:Imperial_College), in a webinar organised by the SOAPLab group on the topic of Ethics of Automation. Excellent Dr Brandon Sepulvado was the other speaker of the day.
The slides that will accompany my live webcast for OpenCon 2014 attendees, all about open data in research. The benefits, the how to (both legally & technically), examples, pitfalls, and the future of open research data.
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Tom Plasterer
What to do About FAIR…
In the experience of most pharma professionals, FAIR remains fairly abstract, bordering on inconclusive. This session will outline specific case studies – real problems with real data, and address opportunities and real concerns.
·
Why making data Findable, Actionable, Interoperable and Reusable is important.
Talk presented at the Data Driven Drug Development (D4) conference on March 20th, 2019.
Being FAIR: FAIR data and model management SSBSS 2017 Summer SchoolCarole Goble
Lecture 1:
Being FAIR: FAIR data and model management
In recent years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs, workflows. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship [1] have proved to be an effective rallying-cry. Funding agencies expect data (and increasingly software) management retention and access plans. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems and Synthetic Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Our FAIRDOM project (http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety. The FAIRDOM Platform has been installed by over 30 labs or projects. Our public, centrally hosted Asset Commons, the FAIRDOMHub.org, supports the outcomes of 50+ projects.
Now established as a grassroots association, FAIRDOM has over 8 years of experience of practical asset sharing and data infrastructure at the researcher coal-face ranging across European programmes (SysMO and ERASysAPP ERANets), national initiatives (Germany's de.NBI and Systems Medicine of the Liver; Norway's Digital Life) and European Research Infrastructures (ISBE) as well as in PI's labs and Centres such as the SynBioChem Centre at Manchester.
In this talk I will show explore how FAIRDOM has been designed to support Systems Biology projects and show examples of its configuration and use. I will also explore the technical and social challenges we face.
I will also refer to European efforts to support public archives for the life sciences. ELIXIR (http:// http://www.elixir-europe.org/) the European Research Infrastructure of 21 national nodes and a hub funded by national agreements to coordinate and sustain key data repositories and archives for the Life Science community, improve access to them and related tools, support training and create a platform for dataset interoperability. As the Head of the ELIXIR-UK Node and co-lead of the ELIXIR Interoperability Platform I will show how this work relates to your projects.
[1] Wilkinson et al, The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
Open Data for Research in Agriculture and Nutrition - GODANRuthie Musker
Learn about open data for research in agriculture and nutrition and how to make a data management plan! GODAN presentation at the IMMANA Conference in Kathmandu, Nepal Learning Labs.
Johannes Keizer presented the outcomes of the eROSA project with researchers from the Agricultural Information Institute of CAAS (Chinese Academy of Agricultural Science)
1. From Open Access to Open Data in Agriculture:
FAO analysis of some international initiatives and
projects for datasharing
Presentation at the INRA workshop “Open Science”,
Paris, 16 April 2013
Dr. Johannes Keizer
Office of Knowledge Exchange
Food and Agriculture Organization of the UN
Presentations by Johannes Keizer is licensed under a Creative Commons Attribution-
NonCommercial-ShareAlike 3.0 Unported License.
2. Disappearing Data
These are the data from my Phd
thesis, I started to look for them
2
http://aims.fao.org johannes keizer
4. 2nd Google Search
https://www.google.de/search?q=johannes+Keizer++Dissertation+Toxizitaet+und+Bi
otransformation+-
+Unterschiede+in+der&aq=f&oq=johannes+Keizer++Dissertation+Toxizitaet+und+Bi
otransformation+-
+Unterschiede+in+der&aqs=chrome.0.57.60915j0&sourceid=chrome&ie=UTF-8
http://agris.fao.org/agris-
search/search/display.do?f=2012%2FOV%2FOV2012002800028.xml%3BDE199400
07889
http://aims.fao.org johannes keizer 4
5. …at the end I found a record about
my PhD thesis, somewhat
proud, that I found it through
AGRIS, our own service.
But the data could not be found, they
were practically lost in the few print
copies and microfiche of the thesis
5
6. There will be generated more
scientific data in the next 5 years
than in the history of humankind
http://aims.fao.org johannes keizer
8. Data definition
Data: digital recorded
factual material commonly
accepted n the scientific
community as necessary
to validate research
findings
http://aims.fao.org johannes keizer 8
10. Distributed Repositories
• stats How can I get in real time all the specimen data on
• gene banksuseful insects from all people making research on this
on my desktop? How can I share in real time my data
• gis data
with other colleagues working on that.
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
http://aims.fao.org johannes keizer
13. The world of which we dream
http://aims.fao.org johannes keizer
14. Mechanisms
Political awareness and institutional
readiness
• CIARD http://www.ciard.net
Community of practice and collaboration
platform
• AIMS (http://aims.fao.org)
Implementation mechanisms
• Collaborations with other institutions
• Funded projects
http://aims.fao.org johannes keizer
19. RDA & agricultural data
A Domain Interest Group to represent all stakeholders
producing, managing, aggregating, sharing, consuming data
from/for agricultural research & innovation
• will bring existing problems & experience on the table
• pave the way for a number of domain-specific WGs (e.g. germplasm
databases)
• serve as a well-supported and politically important domain case for
other WGs (e.g. preservation, PID)
• Positioned carefully to serve as an interface to existing fora become their
mechanism and interface for consultation with research data
infrastructures
http://aims.fao.org johannes keizer
20. Rajender, ICAR
I would like to submit that the Data sharing policy is a pre-cursor to data management.
When I say data sharing policy, it should include methodology and means of sharing and
should have inbuilt component of IPR protection. We should also think of some value
addition to data shared as it would motivate the researchers to share the data.
We have been trying to create a Research Data Repository. We, however, find that the
researchers are very enthuasistic in sharing the data. Therefore, data sharing policy
must also contain some value addition guidelines which would encourage researchers to
share data in their respective domains.
Along with data sharing we also need to talk on Standardization protocol. We at ICAR
have initiated an Information System on Designed Experiments. One can register as a
guest and
look into the basic data at http://js.iasri.res.in:8080/afeis/index.html.
.
http://aims.fao.org johannes keizer 20
21. Working Group on Wheat Data
http://aims.fao.org johannes keizer 21
23. wheat data WG (18m)
Wheat: high societal and political priority & impact
G20 priority & initiative (http://www.wheatinitiative.org)
in line with G8 Open Agricultural Data efforts
Complex data interoperability problems
Germplasm data
Genetic and phenotypic data
Statistical data (yield, surface, consumption …)
Bibliographic data
…more
http://aims.fao.org johannes keizer
24. expected WG outcomes
A cookbook on exposing and linking wheat-related
databases/repositories
i. existing data types & selection of sample data sources to
be covered
ii. review of open formats for wheat data types
iii. recommendations for open & linked exposure of wheat
data
iv. exposure of sample wheat data sources from international
partners
v. promotion through relevant campaign
(online, workshops, …)
http://aims.fao.org johannes keizer
25. Open Data:
Opportunities, problems and
challenges exemplified on an
AGRIS record
http://agris.fao.org/openagr
is/search.do?recordID=JP2
009006327
http://aims.fao.org johannes keizer 25