GBIFS Seminar with the Science Committee and the Nodes Strategy Group Analysis of the content published by the GBIF network – Better understanding what’s

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Understanding the pathways Policy Content Publishers Science A simplistic view

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GBIFS Seminar with the Science Committee and the Nodes Strategy Group Analysis of the content published by the GBIF network Better understanding whats GBIF Samy Gaiji, Vishwas Chavan Global Biodiversity Information Facility (GBIF) Secretartiat May 3, 2011 Outlines 1.Understanding the framework & pathways 2.Increasing our knowledge a.Improving our knowledge of the stakeholders b.Improving our understanding of the mobilised content c.Understanding the types of use/users d.Identifying relevant strategic partnerships 3.Developing indicators & assessing baselines 4.Monitoring and evaluation in Work Programme Understanding the pathways Policy Content Publishers Science A simplistic view Understanding the pathways GBIF Distributed Infrastructure Products (e.g. scientific publications, reports) Needs (e.g. species priorities) Consumers (e.g. scientists, g al public) Publishers (e.g. Nodes, institutions) Data/Information flow Knowledge/Decision flow Focus on the Content-Use interactions (2011) Understanding the pathways Consumers Producers Distributors Market Analysis Similar to Understanding the pathways Network Assessment Content Assessment Needs Assessment Landscaping Use Assessment Priorities Assessment Infrastructure Assessment Impact Assessment Understanding the pathways Strategies & Action Plans Data Resources Discovery Broadening Data Types & Publishers Data Publishing Framework Building a demand-driven Data Publishing Some examples Best Practice Guides on: Content Needs Analysis Data Gap Analysis Data Publishing (discovery, capture, digitisation, & publishing) Action Plans Understanding the pathways Building a demand-driven Data Publishing Planned activities Content Needs Analysis Data Gap Analysis Data Publishing Action Plans Understanding the pathways Understanding the network potentials BIP Index is a composite of a number of country level indicator variables that can predict the state of biodiversity informatics in countries BIP Index will assess: Intrinsic biodiversity potential of a country Capacity of the country to generate biodiversity data, and the capacity of a country for managing and publishing biodiversity data BIP Index will assess: Intrinsic biodiversity potential of a country Capacity of the country to generate biodiversity data, and the capacity of a country for managing and publishing biodiversity data Some examples Understanding the pathways BIP Index: Understanding the network potentials BIP Index 1.0 is released (Q3 2011) Feedback & consultations with stakeholders (Q Q1 2012) Scoping BIP Index 2.0 BIP Index 2.0 release (Q1 2013) BIP Index 1.0 is released (Q3 2011) Feedback & consultations with stakeholders (Q Q1 2012) Scoping BIP Index 2.0 BIP Index 2.0 release (Q1 2013) Planned activities Data Usage Index (DUI) The DUI is intended to demonstrate to data publishers that their efforts in publishing datasets do have impact by being accessed, searched and viewed or downloaded by stakeholder communities Make the usage of biodiversity data visible, and to provide appropriate recognition to its creators, publishers etc. Understanding the pathways DUI will be implemented in phases from Global to Local Access points Some examples Understanding the pathways Monitoring & Evaluation Monitoring & Evaluation Monitoring & Evaluation Monitoring & Evaluation Impacts Monitoring & Evaluation Monitoring & Evaluation 2014 Impacts headline products Increasing our knowledge Established in 2010, an infrastructure to easily mine the full GBIF Index. Identified the most critical analysis (e.g. mostly summary statistics) and implemented them as routines. In Q1 2011, we have explored more advanced analysis such as geospatial (e.g. intersection with Protected Areas, Red Lists, Hotspots, ecological zones) Will proceed in Q2 & 3 with more complex analysis. Increasing our knowledge We face a Data Deluge but Increasing our knowledge combined with a drop in number of species observed/year In the last10-20 years. Increasing our knowledge We observe a logical stagnation in the number of species discovered 650,000 species with no geo-referenced records 1,7 M species (or strings) Increasing our knowledge A growing bias towards observational data Increasing our knowledge that is increasing over time Observations Increasing our knowledge And mostly from the Kingdom Animalia Animalia Increasing our knowledge driven by bird data Aves Others Recent Growth = (Observation*Bird) + Increasing our knowledge A growth in datasets yearly contribution Increasing our knowledge and some groups (bird focused) are outperforming 33% of the Index !!! Increasing our knowledge Another way to look at the time*publishers dimensions Arturo Arino Publishers Time Increasing our knowledge There is a taxonomical bias Increasing our knowledge . Mostly due to bird data Increasing our knowledge Another way to look at the taxonomical bias Arturo Arino Increasing our knowledge The taxonomical resolution remains a challenge... Increasing our knowledge How it works Rollover n Not matched matched Taxonomy Backbone Update New Taxonomy Backbone Taxonomical matching: CoL % CoL % IRMNG 95% Some indicators Increasing our knowledge Rate of geo-referencing is increasing over time. 90% Increasing our knowledge Occurrences (1/2 degree resolution) Understand the obvious geospatial gaps Increasing our knowledge (1/2 degree resolution) Understand the obvious geospatial gaps Species richness Increasing our knowledge Understand the obvious geospatial gaps by ecological zones Species richness for plants Species richness for plants Increasing our knowledge Understand the obvious geospatial gaps for hotspots areas Thomas Brook (NatureServe) Increasing our knowledge Assessing the species growth potential (by countries) Biodiversity poor countries (Norway, Finland) Biodiversity rich countries (Australia, India, Mexico, Peru, Brazil, China) Increasing our knowledge Assessing specific fitness for use (e.g. niche modeling) 120,000 species meeting the ENM requirements (>20 grid points) Scientific Literature Survey Increasing our knowledge An encouraging growth Developing indicators Documenting all publications into Mendeley Monitoring and evaluation And making them easily accessible Monitoring and evaluation and tagged. Monitoring and evaluation Landscaping organisations Monitoring and evaluation Landscaping organisations Data Tools Genomics Use Standards Ways forward. 1.Finalising Indicators for 2011: 1.Selecting & Prototyping 2.Industrialising with Informatics 3.Feed the assessment Product in WP 2.Focusing on collaborations with key strategic 1.Partners : IUCN, WCMC, CBD 2.Themes: IAS, Climate Change, Red List 3.Champions: T.Brooks, Town, Arturo etc 3.Engaging Participants: 1.Landscaping, User Profiles 2.Sharing solutions/methodologies (Mining) 3.Sharing scientific literature, seek contribution