SlideShare a Scribd company logo
1 of 39
Download to read offline
OpenStreetMap: It’s
the community,
stupid!
Marc Gemis
Jorieke Vyncke
Ben Abelshausen
Glenn Plas
OpenStreetMap Belgium
23/02/2015
Mapping the
entire world!
Why would we need
OpenStreetMap in a world where
all (geo)data is open?
One global database?
One global ontology?
Huge ecosystem of tools?
It’s the community, stupid!
What is this ‘community’ you say?
Crowdsourcing ≠ community
What is this ‘community’ you say?
OpenStreetMap uses active
crowdsourcing!
Session Overview
•Marc Gemis: The mapper at the core of the project .
•Jorieke Vyncke: Community activities, a mapper is
never alone!
•Ben Abelshausen: External data and the community,
yes, they can be friends!
•Glenn Plas: Data users? Part of the community?
Open(Geo)Data and
OpenStreetMap
Ben Abelshausen
23/02/2015
Namur
Warning: This presentation has MAPS!
Imports!
Why is this an issue?
Let’s just import
everything!!!
Community vs.
‘External’ data
Why would we want
to import?
A few exceptions:
- Borders
- Bus routes
- Cycle routes
Types of abstract data that does not really
physically exists!
A lot of pressure…
AND Import…
Tiger in the US
• The entire US road network
• At the time almost non-existing OSM-community!
TIGER desert
“The term "TIGER desert" has been coined referring to areas where
little or no editing of TIGER imported data has been done for an
extended period of time — or at all since import (period of inactivity
measured in years).”
From an OpenStreetMap point
of view external data is usually
inaccurate and wrong about
the world.
All these experiences and
views shape the import-
process…
A review process!
• Checking license
• Checking consistency
• Estimating quality
• Data conversion to OpenStreetMap
• Update strategy.
=> All these conditions have to be met!
=> All this is peer-reviewed by the community.
An import should be: Putting a
community-approved stamp
on the data!
Community
Approved!
Crowd-sourced imports!
Use the power of OSM-community to
approve and stamp the data!
Mapper
Approved!
Urbis
• Brussels
• Addresses and buildings.
• A community-sourced import but in large chuncks.
De Lijn
Two aspects:
- Stops: The position of the stops.
- Routes: Abtract non-physical data.
A great example of why not to blindly trust company/government
collected data.
De Lijn has used some of the corrected locations: A great example of
how OpenStreetMap-community can help improve your own datasets.
AGIV CRAB
• A huge dataset of addresses!
• A ‘not-always-accurate’ dataset.
• A dataset collected by localgovernments managed at the flanders
level.
• Is in need of review and community-stamping!
• Is continously changing and being updated.
• BUT: relatively easy to check and verify.
• An address monitoring tool is used to track progress.
Thank you!
OpenStreetMap Belgium!
Follow us @osm_be
www.osm.be
Next meetup/mapping party:
http://www.meetup.com/OpenStreetMap-Belgium/
OpenStreetMap Belgium is a working group @ Open
Knowledge Belgium
Who are you calling
stupid?
Is it really the
community?
Comments?
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
A monopoly on place?
Should we only rely on companies and governments to map the world? [1]
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
A monopoly on place?
Who decides what gets shown on the map, who decides where you are and
where you should go, and personal privacy. [1]
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
Local governments using
private maps?
Who decides what is on google/bing/HERE maps?
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
A map = power!
Where is it dangerous?
Where does a neighbourhood begin?
Borders and border disputes!
Routing or cycling directions along certain neighbourhoods?
A map simplifies the world, what will we show about reality?!
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
OpenStreetMap as the
solution?
Yes, BUT!
Does the community represent the population?
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
Diversity is crucial!
… and more important for OSM than many other problems.
(this is the active crowdsourcing part of this talk. We rely
on your knowledge and expertise to fill this blank spot in
this session)
Thank you!
OpenStreetMap Belgium!
Follow us @osm_be
www.osm.be
Next meetup/mapping party:
http://www.meetup.com/OpenStreetMap-Belgium/
OpenStreetMap Belgium is a working group @ Open
Knowledge Belgium

More Related Content

What's hot

HOT OSM Community mapping in Lower Shire, Malawi
HOT OSM Community mapping in Lower Shire, MalawiHOT OSM Community mapping in Lower Shire, Malawi
HOT OSM Community mapping in Lower Shire, MalawiSeverin Menard
 
GA 2015 Digital Earth Workshop
GA 2015 Digital Earth WorkshopGA 2015 Digital Earth Workshop
GA 2015 Digital Earth WorkshopKarl Donert
 
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...Deltares
 
Open streetmap response-to-ebola-crisis-geong-2014-09-23
Open streetmap response-to-ebola-crisis-geong-2014-09-23Open streetmap response-to-ebola-crisis-geong-2014-09-23
Open streetmap response-to-ebola-crisis-geong-2014-09-23Pierre Béland
 
SotM2011 crisis mapping and sinsai.info
SotM2011 crisis mapping and sinsai.infoSotM2011 crisis mapping and sinsai.info
SotM2011 crisis mapping and sinsai.infoHiroshi Miura
 
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...Pierre Béland
 
Introduction to OpenStreetMap
Introduction to OpenStreetMapIntroduction to OpenStreetMap
Introduction to OpenStreetMapJeff Haack
 

What's hot (7)

HOT OSM Community mapping in Lower Shire, Malawi
HOT OSM Community mapping in Lower Shire, MalawiHOT OSM Community mapping in Lower Shire, Malawi
HOT OSM Community mapping in Lower Shire, Malawi
 
GA 2015 Digital Earth Workshop
GA 2015 Digital Earth WorkshopGA 2015 Digital Earth Workshop
GA 2015 Digital Earth Workshop
 
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...
DSD-INT 2016 A crowd-sourced spatial database can change the way we work - Va...
 
Open streetmap response-to-ebola-crisis-geong-2014-09-23
Open streetmap response-to-ebola-crisis-geong-2014-09-23Open streetmap response-to-ebola-crisis-geong-2014-09-23
Open streetmap response-to-ebola-crisis-geong-2014-09-23
 
SotM2011 crisis mapping and sinsai.info
SotM2011 crisis mapping and sinsai.infoSotM2011 crisis mapping and sinsai.info
SotM2011 crisis mapping and sinsai.info
 
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...
 
Introduction to OpenStreetMap
Introduction to OpenStreetMapIntroduction to OpenStreetMap
Introduction to OpenStreetMap
 

Similar to Open(geo)data and open streetmap by Ben abelshausen

CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTION
CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTIONCROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTION
CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTIONUmberto Mezzacapo
 
The Golden Age of GIS - Keynote for GIS day 2019
The Golden Age of GIS - Keynote for GIS day 2019The Golden Age of GIS - Keynote for GIS day 2019
The Golden Age of GIS - Keynote for GIS day 2019Martijn van Exel
 
Open mapping for health and humanitarian action using OpenStreetMap
Open mapping for health and humanitarian action using OpenStreetMapOpen mapping for health and humanitarian action using OpenStreetMap
Open mapping for health and humanitarian action using OpenStreetMapMEASURE Evaluation
 
JRC OpenStreetMap, editing and tasking mechanisms, 20130326
JRC OpenStreetMap, editing and tasking mechanisms, 20130326JRC OpenStreetMap, editing and tasking mechanisms, 20130326
JRC OpenStreetMap, editing and tasking mechanisms, 20130326Severin Menard
 
OpenStreetMap (OSM): Mapping from the crowd and on the field open data prepa...
OpenStreetMap (OSM):  Mapping from the crowd and on the field open data prepa...OpenStreetMap (OSM):  Mapping from the crowd and on the field open data prepa...
OpenStreetMap (OSM): Mapping from the crowd and on the field open data prepa...Severin Menard
 
Map Kibera at the UN
Map Kibera at the UNMap Kibera at the UN
Map Kibera at the UNmikel_maron
 
Introduction to OpenStreetMap, its extracts, and relation to Project NOAH
Introduction to OpenStreetMap, its extracts, and relation to Project NOAHIntroduction to OpenStreetMap, its extracts, and relation to Project NOAH
Introduction to OpenStreetMap, its extracts, and relation to Project NOAHErvin Malicdem
 
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Response
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian ResponseOpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Response
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Responsechippy
 
Jungle Bus: Public transport networks mapping made easy #Sotm2017
Jungle Bus: Public transport networks mapping made easy #Sotm2017Jungle Bus: Public transport networks mapping made easy #Sotm2017
Jungle Bus: Public transport networks mapping made easy #Sotm2017Florian Lainez
 
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...Severin Menard
 
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"CycleStreets
 
Stanford Presentation to GISSIG
Stanford Presentation to GISSIGStanford Presentation to GISSIG
Stanford Presentation to GISSIGSarah_Manley
 
NIJC presentation
NIJC presentationNIJC presentation
NIJC presentationSarahManley
 
Participatory cartography and OpenStreetMap
Participatory cartography and OpenStreetMapParticipatory cartography and OpenStreetMap
Participatory cartography and OpenStreetMapYuwei Lin
 
Intro to OpenStreetMap- UC Merced 4.22.09
Intro to OpenStreetMap- UC Merced 4.22.09Intro to OpenStreetMap- UC Merced 4.22.09
Intro to OpenStreetMap- UC Merced 4.22.09Sarah_Manley
 
Mapping for sustainable consumption initiatives
Mapping for sustainable consumption initiatives Mapping for sustainable consumption initiatives
Mapping for sustainable consumption initiatives CSCP
 

Similar to Open(geo)data and open streetmap by Ben abelshausen (20)

CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTION
CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTIONCROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTION
CROWDMAPPING BETWEEN CIVIC ENGAGEMENT AND PROSUMPTION
 
The Golden Age of GIS - Keynote for GIS day 2019
The Golden Age of GIS - Keynote for GIS day 2019The Golden Age of GIS - Keynote for GIS day 2019
The Golden Age of GIS - Keynote for GIS day 2019
 
Open mapping for health and humanitarian action using OpenStreetMap
Open mapping for health and humanitarian action using OpenStreetMapOpen mapping for health and humanitarian action using OpenStreetMap
Open mapping for health and humanitarian action using OpenStreetMap
 
JRC OpenStreetMap, editing and tasking mechanisms, 20130326
JRC OpenStreetMap, editing and tasking mechanisms, 20130326JRC OpenStreetMap, editing and tasking mechanisms, 20130326
JRC OpenStreetMap, editing and tasking mechanisms, 20130326
 
What can be done with Open Data?
What can be done with Open Data?What can be done with Open Data?
What can be done with Open Data?
 
OpenStreetMap (OSM): Mapping from the crowd and on the field open data prepa...
OpenStreetMap (OSM):  Mapping from the crowd and on the field open data prepa...OpenStreetMap (OSM):  Mapping from the crowd and on the field open data prepa...
OpenStreetMap (OSM): Mapping from the crowd and on the field open data prepa...
 
OSM mass awareness programme
OSM mass awareness programmeOSM mass awareness programme
OSM mass awareness programme
 
Map Kibera at the UN
Map Kibera at the UNMap Kibera at the UN
Map Kibera at the UN
 
Introduction to OpenStreetMap, its extracts, and relation to Project NOAH
Introduction to OpenStreetMap, its extracts, and relation to Project NOAHIntroduction to OpenStreetMap, its extracts, and relation to Project NOAH
Introduction to OpenStreetMap, its extracts, and relation to Project NOAH
 
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Response
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian ResponseOpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Response
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Response
 
Jungle Bus: Public transport networks mapping made easy #Sotm2017
Jungle Bus: Public transport networks mapping made easy #Sotm2017Jungle Bus: Public transport networks mapping made easy #Sotm2017
Jungle Bus: Public transport networks mapping made easy #Sotm2017
 
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...
 
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"
Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"
 
Stanford Presentation to GISSIG
Stanford Presentation to GISSIGStanford Presentation to GISSIG
Stanford Presentation to GISSIG
 
NIJC presentation
NIJC presentationNIJC presentation
NIJC presentation
 
Participatory cartography and OpenStreetMap
Participatory cartography and OpenStreetMapParticipatory cartography and OpenStreetMap
Participatory cartography and OpenStreetMap
 
eSwarajDetails
eSwarajDetailseSwarajDetails
eSwarajDetails
 
20101126 aarhus skype_presentation_skopje
20101126 aarhus skype_presentation_skopje20101126 aarhus skype_presentation_skopje
20101126 aarhus skype_presentation_skopje
 
Intro to OpenStreetMap- UC Merced 4.22.09
Intro to OpenStreetMap- UC Merced 4.22.09Intro to OpenStreetMap- UC Merced 4.22.09
Intro to OpenStreetMap- UC Merced 4.22.09
 
Mapping for sustainable consumption initiatives
Mapping for sustainable consumption initiatives Mapping for sustainable consumption initiatives
Mapping for sustainable consumption initiatives
 

More from Open Knowledge Belgium

A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)Open Knowledge Belgium
 
Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Open Knowledge Belgium
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataOpen Knowledge Belgium
 
EIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensEIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensOpen Knowledge Belgium
 
Connecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUConnecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUOpen Knowledge Belgium
 
Open Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Knowledge Belgium
 
Mundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsMundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsOpen Knowledge Belgium
 
MIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectMIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectOpen Knowledge Belgium
 
Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Open Knowledge Belgium
 
Traffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataTraffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataOpen Knowledge Belgium
 
Eliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painEliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painOpen Knowledge Belgium
 
Linked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesLinked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesOpen Knowledge Belgium
 
A journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataA journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataOpen Knowledge Belgium
 
How we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsHow we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsOpen Knowledge Belgium
 
mu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Datamu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked DataOpen Knowledge Belgium
 
The role and value of making data inventories
The role and value of making data inventoriesThe role and value of making data inventories
The role and value of making data inventoriesOpen Knowledge Belgium
 

More from Open Knowledge Belgium (20)

Open Data Stories You haven't heard!
Open Data Stories You haven't heard!Open Data Stories You haven't heard!
Open Data Stories You haven't heard!
 
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
 
Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)
 
Open Knowledge for Social Innovation
Open Knowledge for Social InnovationOpen Knowledge for Social Innovation
Open Knowledge for Social Innovation
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open Data
 
EIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensEIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizens
 
Connecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUConnecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EU
 
Open Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Government and Networked European Democracy
Open Government and Networked European Democracy
 
Mundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsMundaneum Factories for Open Tokenomics
Mundaneum Factories for Open Tokenomics
 
MIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectMIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition Project
 
Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017
 
The story behind SNCB alerts
The story behind SNCB alertsThe story behind SNCB alerts
The story behind SNCB alerts
 
Traffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataTraffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open data
 
Eliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painEliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without pain
 
Linked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesLinked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resources
 
A journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataA journey to Linked Open Touristic Data
A journey to Linked Open Touristic Data
 
How we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsHow we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clients
 
mu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Datamu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Data
 
Linked Open Chatbots
Linked Open ChatbotsLinked Open Chatbots
Linked Open Chatbots
 
The role and value of making data inventories
The role and value of making data inventoriesThe role and value of making data inventories
The role and value of making data inventories
 

Recently uploaded

Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degreeyuu sss
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.natarajan8993
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.pptamreenkhanum0307
 

Recently uploaded (20)

Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.ppt
 

Open(geo)data and open streetmap by Ben abelshausen

  • 1. OpenStreetMap: It’s the community, stupid! Marc Gemis Jorieke Vyncke Ben Abelshausen Glenn Plas OpenStreetMap Belgium 23/02/2015
  • 3. Why would we need OpenStreetMap in a world where all (geo)data is open? One global database? One global ontology? Huge ecosystem of tools?
  • 5. What is this ‘community’ you say? Crowdsourcing ≠ community
  • 6. What is this ‘community’ you say? OpenStreetMap uses active crowdsourcing!
  • 7. Session Overview •Marc Gemis: The mapper at the core of the project . •Jorieke Vyncke: Community activities, a mapper is never alone! •Ben Abelshausen: External data and the community, yes, they can be friends! •Glenn Plas: Data users? Part of the community?
  • 10. Why is this an issue? Let’s just import everything!!!
  • 11. Community vs. ‘External’ data Why would we want to import?
  • 12. A few exceptions: - Borders - Bus routes - Cycle routes Types of abstract data that does not really physically exists!
  • 13. A lot of pressure…
  • 15. Tiger in the US • The entire US road network • At the time almost non-existing OSM-community!
  • 16. TIGER desert “The term "TIGER desert" has been coined referring to areas where little or no editing of TIGER imported data has been done for an extended period of time — or at all since import (period of inactivity measured in years).”
  • 17.
  • 18. From an OpenStreetMap point of view external data is usually inaccurate and wrong about the world.
  • 19. All these experiences and views shape the import- process…
  • 20. A review process! • Checking license • Checking consistency • Estimating quality • Data conversion to OpenStreetMap • Update strategy. => All these conditions have to be met! => All this is peer-reviewed by the community.
  • 21. An import should be: Putting a community-approved stamp on the data! Community Approved!
  • 22. Crowd-sourced imports! Use the power of OSM-community to approve and stamp the data! Mapper Approved!
  • 23. Urbis • Brussels • Addresses and buildings. • A community-sourced import but in large chuncks.
  • 24.
  • 25. De Lijn Two aspects: - Stops: The position of the stops. - Routes: Abtract non-physical data. A great example of why not to blindly trust company/government collected data. De Lijn has used some of the corrected locations: A great example of how OpenStreetMap-community can help improve your own datasets.
  • 26.
  • 27.
  • 28. AGIV CRAB • A huge dataset of addresses! • A ‘not-always-accurate’ dataset. • A dataset collected by localgovernments managed at the flanders level. • Is in need of review and community-stamping! • Is continously changing and being updated. • BUT: relatively easy to check and verify. • An address monitoring tool is used to track progress.
  • 29. Thank you! OpenStreetMap Belgium! Follow us @osm_be www.osm.be Next meetup/mapping party: http://www.meetup.com/OpenStreetMap-Belgium/ OpenStreetMap Belgium is a working group @ Open Knowledge Belgium
  • 30. Who are you calling stupid? Is it really the community?
  • 31. Comments? (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 32. A monopoly on place? Should we only rely on companies and governments to map the world? [1] (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 33. A monopoly on place? Who decides what gets shown on the map, who decides where you are and where you should go, and personal privacy. [1] (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 34. Local governments using private maps? Who decides what is on google/bing/HERE maps? (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 35.
  • 36. A map = power! Where is it dangerous? Where does a neighbourhood begin? Borders and border disputes! Routing or cycling directions along certain neighbourhoods? A map simplifies the world, what will we show about reality?! (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 37. OpenStreetMap as the solution? Yes, BUT! Does the community represent the population? (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 38. Diversity is crucial! … and more important for OSM than many other problems. (this is the active crowdsourcing part of this talk. We rely on your knowledge and expertise to fill this blank spot in this session)
  • 39. Thank you! OpenStreetMap Belgium! Follow us @osm_be www.osm.be Next meetup/mapping party: http://www.meetup.com/OpenStreetMap-Belgium/ OpenStreetMap Belgium is a working group @ Open Knowledge Belgium