GBIF web services for biodiversity data, for USDA GRIN, Washington DC, USA (2...Dag Endresen
Presentation of GBIF and the sharing of biodiversity data with web services. USDA GRIN Beltsville Washington DC, 13th December 2005. GBIF is the Global Biodiversity Information Facility for free and open access to biodiversity data.
The Global Biodiversity Information Facility and Africa RisingFatima Parker-Allie
This document summarizes a conference on mobilizing Africa's biodiversity data. It discusses GBIF's efforts to engage countries and partners in Africa and increase participation. It outlines GBIF's priorities for 2017-2021, which include delivering relevant data, improving data quality, filling data gaps, organizing biodiversity knowledge, and empowering the global network. It also summarizes efforts in Africa led by GBIF and partners to develop a strategy and regional plan of action to mobilize policy-relevant biodiversity data in Africa to support sustainable development.
Global Biodiversity Information Facility (GBIF) - 2012Dag Endresen
Presentation of the Global Biodiversity Information Facility (GBIF) and GBIF Norway for the Department of Technical and Scientific Conservation (CONSERV) at the Natural History Museum, University of Oslo. Tøyen, Oslo, 7 November 2012.
Exploring the future of scholarly publishing of biodiversity dataVishwas Chavan
Little more than decade back biodiversity data publishing was opportunistic and secondary spin-off activity of the biodiversity research and conservation management chain. Today, the Global Biodiversity Information Facility facilitate free and open access to over 420 million primary biodiversity data records contributed by publishers across the globe. This is an outcome of a growing realization that free and open access to biodiversity data is crucial to take informed decisions and actions for sustainable use of biotic resources and conservation of biodiversity areas. In recent past use of biodiversity data in research, conservation and management activities is on rise. However, users often complain about the low degree of ‘fitness-for-use’ of the accessible data. Most of the times potential use of data is hampered because of lack of adequate metadata, that can demonstrate the fintness-for-use of a given dataset.
To overcome this an appropriate incentivisation mechanism is essential, that can provide due credit and acknowledgement to a research groups for their efforts in authoring good metadata. In recent past a concept of ‘scholarly data publishing’ is being talked about where in both data and metadata undergo peer-review similar to other scientific publications. Pensoft publishing has launched a fresh data only journal called ‘Biodiversity Data Journal, and accepts data papers in six of its other journal titles. European aquatic biodiversity community through EU funded project ‘BioFresh’ has engaged with editors of 29 aquatic biodiversity journals to being accepting data papers. GBIF node in Columbia and South Africa are planning to kick start a journal that will publish data papers. Recently, Nature Publishing Group has announced a peer-reviewed data publishing only journal called ‘Scientific Data’. These developments announce the arrival of the new data publishing era ‘Scholarly Data Publishing’. Biodiversity science and biodiversity informatics stands to gain a lot by being on the forefront of this tide.
Intro to GBIF: Infrastructures and Platforms for Environmental Crowd Sensing ...Kyle Copas
Slides presented while representing GBIF—the Global Biodiversity Information Facility (http://gbif.org)—at 'Infrastructures and Platforms for Environmental Crowd Sensing and Big Data' at the European Environment Agency on 9 Sept 2015. The session was part of EnviroInfo and ICT for Sustainability, a three-day conference in Copenhagen hosted by the University of Copenhagen in collaboration with the European Environment Agency.
This document discusses data citation mechanisms and services for primary biodiversity data. It outlines the need for data citation to provide recognition for data producers and publishers. An ideal data citation framework would address social, technical, and policy issues to incentivize all stakeholders. Core technical components would include persistent identifiers, a data citation mechanism, and a data usage index. The document reviews the history calling for data citation standards and proposes requirements for an effective data citation model, including attributing roles across data production and publication. It also examines challenges in developing data citation practices.
Workshop about research data archiving and open access publishing at the Rese...Dag Endresen
The Research Council of Norway (RCN) organizes a workshop on 1st November 2016 to collect experiences on research data archiving and open access data publishing. The Norwegian GBIF-node will present the GBIF framework including dataset DOIs and download DOIs.
See also:
GBIF.no (2016), http://www.gbif.no/news/2016/data-archiving-ncr.html
GBIF GB21 (2014), http://www.gbif.org/newsroom/news/gb21-science-symposium
GBIF GB21 Slides, http://www.gbif.org/resource/81918
Vimeo video (2014), https://vimeo.com/107148220#t=6m28s
GBIF web services for biodiversity data, for USDA GRIN, Washington DC, USA (2...Dag Endresen
Presentation of GBIF and the sharing of biodiversity data with web services. USDA GRIN Beltsville Washington DC, 13th December 2005. GBIF is the Global Biodiversity Information Facility for free and open access to biodiversity data.
The Global Biodiversity Information Facility and Africa RisingFatima Parker-Allie
This document summarizes a conference on mobilizing Africa's biodiversity data. It discusses GBIF's efforts to engage countries and partners in Africa and increase participation. It outlines GBIF's priorities for 2017-2021, which include delivering relevant data, improving data quality, filling data gaps, organizing biodiversity knowledge, and empowering the global network. It also summarizes efforts in Africa led by GBIF and partners to develop a strategy and regional plan of action to mobilize policy-relevant biodiversity data in Africa to support sustainable development.
Global Biodiversity Information Facility (GBIF) - 2012Dag Endresen
Presentation of the Global Biodiversity Information Facility (GBIF) and GBIF Norway for the Department of Technical and Scientific Conservation (CONSERV) at the Natural History Museum, University of Oslo. Tøyen, Oslo, 7 November 2012.
Exploring the future of scholarly publishing of biodiversity dataVishwas Chavan
Little more than decade back biodiversity data publishing was opportunistic and secondary spin-off activity of the biodiversity research and conservation management chain. Today, the Global Biodiversity Information Facility facilitate free and open access to over 420 million primary biodiversity data records contributed by publishers across the globe. This is an outcome of a growing realization that free and open access to biodiversity data is crucial to take informed decisions and actions for sustainable use of biotic resources and conservation of biodiversity areas. In recent past use of biodiversity data in research, conservation and management activities is on rise. However, users often complain about the low degree of ‘fitness-for-use’ of the accessible data. Most of the times potential use of data is hampered because of lack of adequate metadata, that can demonstrate the fintness-for-use of a given dataset.
To overcome this an appropriate incentivisation mechanism is essential, that can provide due credit and acknowledgement to a research groups for their efforts in authoring good metadata. In recent past a concept of ‘scholarly data publishing’ is being talked about where in both data and metadata undergo peer-review similar to other scientific publications. Pensoft publishing has launched a fresh data only journal called ‘Biodiversity Data Journal, and accepts data papers in six of its other journal titles. European aquatic biodiversity community through EU funded project ‘BioFresh’ has engaged with editors of 29 aquatic biodiversity journals to being accepting data papers. GBIF node in Columbia and South Africa are planning to kick start a journal that will publish data papers. Recently, Nature Publishing Group has announced a peer-reviewed data publishing only journal called ‘Scientific Data’. These developments announce the arrival of the new data publishing era ‘Scholarly Data Publishing’. Biodiversity science and biodiversity informatics stands to gain a lot by being on the forefront of this tide.
Intro to GBIF: Infrastructures and Platforms for Environmental Crowd Sensing ...Kyle Copas
Slides presented while representing GBIF—the Global Biodiversity Information Facility (http://gbif.org)—at 'Infrastructures and Platforms for Environmental Crowd Sensing and Big Data' at the European Environment Agency on 9 Sept 2015. The session was part of EnviroInfo and ICT for Sustainability, a three-day conference in Copenhagen hosted by the University of Copenhagen in collaboration with the European Environment Agency.
This document discusses data citation mechanisms and services for primary biodiversity data. It outlines the need for data citation to provide recognition for data producers and publishers. An ideal data citation framework would address social, technical, and policy issues to incentivize all stakeholders. Core technical components would include persistent identifiers, a data citation mechanism, and a data usage index. The document reviews the history calling for data citation standards and proposes requirements for an effective data citation model, including attributing roles across data production and publication. It also examines challenges in developing data citation practices.
Workshop about research data archiving and open access publishing at the Rese...Dag Endresen
The Research Council of Norway (RCN) organizes a workshop on 1st November 2016 to collect experiences on research data archiving and open access data publishing. The Norwegian GBIF-node will present the GBIF framework including dataset DOIs and download DOIs.
See also:
GBIF.no (2016), http://www.gbif.no/news/2016/data-archiving-ncr.html
GBIF GB21 (2014), http://www.gbif.org/newsroom/news/gb21-science-symposium
GBIF GB21 Slides, http://www.gbif.org/resource/81918
Vimeo video (2014), https://vimeo.com/107148220#t=6m28s
GBIF BIFA mentoring, Day 5a Data management, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
Credits: EUDAT/OpenAire, December 2015 & May 2016, CC-BY-4.0
* http://www.slideshare.net/EUDAT/eudat-research-data-management
* http://www.slideshare.net/EUDAT/research-data-management-introduction-eudatopen-aire-webinar?ref=https://eudat.eu/events/webinar/research-data-management-an-introductory-webinar-from-openaire-and-eudat
* https://eudat.eu/events/webinar/research-data-management-an-introductory-webinar-from-openaire-and-eudat
* http://www.instantpresenter.com/WebConference/RecordingDefault.aspx?c_psrid=EB57D6888147
The document summarizes the recommendations of the GBIF Governing Board's Global Strategy and Action Plan for Mobilization of Natural History Collections Data task group. The task group recommends that GBIF facilitate discovery of non-digital collection resources, increase efficiency of data capture and quality of digitized specimens, and improve infrastructure for publishing digitized collection data globally.
GBIF BIFA mentoring, Day 2 Publish data, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
#HepaticaWeek April 2016, GBIF data publishingDag Endresen
Citizen science species observation reporting and data publishing with the Global Biodiversity Information Facility (GBIF). Video feed available at: https://youtu.be/t22QmFPcvOM?t=34m4s
Data publication meeting at the Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences (NMBU), GBIF Norway and the Norwegian Biodiversity Information Centre (Artsdatabanken).
Web service technologies, at CGIAR ICT-KM workshop in Rome (2005)Dag Endresen
Presentation of web services for the CGIAR ICT-KM training workshop on information interoperability, 13th June 2005, at IPGRI Rome Italy. Dag Endresen (Nordic Gene Bank).
The document discusses GBIF's 2010-2011 work programme highlights related to improving content for science and society. It outlines GBIF's approach to focus on community needs, expand content coverage to include multimedia and observations, and increase relevance through facilitating the flow of data and information to scientific publications and decisions. It also analyzes current coverage and content biases and trends to help guide GBIF's science focus in 2011.
Trait Mining, prediction of agricultural traits in plant genetic resources with ecological parameters. Focused Identification of Germplasm Strategy (FIGS). For the Vavilov seminars at the IPK Gatersleben 13th June 2007. Dag Endresen, Michael Mackay, Kenneth Street.
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
Introduction to GBIF. GBIF seminar in Bergen. 2016-12-14Dag Endresen
GBIF Norway provides a summary of biodiversity data publishing and access activities in Norway through the Global Biodiversity Information Facility (GBIF). Over 22 million occurrence records with locations in Norway have been published through GBIF from 31 countries worldwide. The GBIF node team at the University of Oslo works to publish Norwegian biodiversity data and facilitate its use. They collaborate with other Norwegian institutions like Artsdatabanken and NTNU University Museum to advance open data policies and research utilizing GBIF.
GBIF BIFA mentoring, Day 4b Event core, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
TDWG and GBIF, at European genbank network meeting (Bonn, April 2004)Dag Endresen
Presentation of TDWG and GBIF for the ECP/GR D&I Network meeting at ZADI Bonn Germany 11th April 2005. Dag Endresen (Nordic Gene Bank). TDWG is a standardization body for Biodiversity Information Standards; GBIF is a Global Biodiversity Information Facility for free and open access to biodiversity data.
The document summarizes the state of data publishing through the Global Biodiversity Information Facility (GBIF) network. It finds that while data records are increasing, the rate of increase is declining. Developing regions contribute the most data, with the Avian Knowledge Network as the single largest data publisher. Over 2.4 billion records have been identified by GBIF participants but only around 800 million are accessible digitally and participants have committed to publishing less than 25% of available records by 2010. There remains a need for more strategic and planned approaches to data discovery and publishing with an emphasis on both local and global efforts.
The role of biodiversity informatics in GBIF, 2021-05-18Dag Endresen
The document discusses the role of biodiversity informatics and the Global Biodiversity Information Facility (GBIF) in making biodiversity data available through open access. GBIF provides free and open access to over 1.6 billion species occurrence records from over 1600 data publishers. The document highlights how digitizing natural history collections and integrating diverse biodiversity data sources can support research and policy goals. It emphasizes best practices like using common data standards, publishing datasets on GBIF to make them widely discoverable and reusable, and citing data with DOIs to incentivize open data sharing.
GBIF is exploring strategies to guide its work towards 2030. Key areas of focus include:
1. Increasing engagement with the scientific community through training, tools, and enabling nodes to better support national and regional research.
2. Filling data gaps in taxonomy, geography, and time through prioritizing mobilization of new data resources and checklists.
3. Developing new infrastructure and services like data annotation, machine learning tools, and metrics to improve data quality, reuse, and support digitization of legacy collections.
GBIF BIFA mentoring, Day 1 GBIF intro, July 2016Dag Endresen
GBIF enables free and open access to biodiversity data online. It is an international initiative focused on making biodiversity data available for scientific research, conservation and sustainable development. The document provides statistics on the number of species occurrence records, datasets, and data publishing institutions in GBIF as of June 2016. It also shows graphs of the growth in biodiversity data through GBIF over time and the number of data publishers and downloads by country.
GBIF is a global biodiversity data infrastructure that provides open access to over 1.6 billion species occurrence records. It connects over 1,600 data publishers through a voluntary network of participants and aims to facilitate research and policy related to biodiversity and sustainable development. Data shared through GBIF is cited with digital object identifiers to give credit to data publishers and encourage further data sharing. The presentation reviewed GBIF's role in open science and data citation principles, provided statistics on global and Norwegian contributions to the network, and explained how to publish and cite biodiversity data through GBIF.
The document discusses the DiscoverEDINA project which has three strands of activity: 1) Geo, which enhances multimedia content metadata like geo tags, 2) MediaHub, which crowdsources metadata for MediaHub items, and 3) SUNCAT, which contributes open metadata to SUNCAT in different formats. Each strand optimizes data for reuse, adopts open licensing, and uses existing EDINA APIs. The conclusion questions how the tools and metadata will be used, discusses business models for open metadata, and whether metadata alone enables discovery and use.
The document discusses a meeting agenda between GBIF (Global Biodiversity Information Facility) and Elsevier to discuss opportunities for collaboration around data publishing and sharing biodiversity data. Some key points discussed in the agenda include GBIF's role in facilitating open access to biodiversity data, its data publishing framework to encourage data mobilization and sharing, and potential areas of collaboration around simultaneous publishing of data and scholarly articles.
The document discusses GBIF's (Global Biodiversity Information Facility) goals of facilitating open access to biodiversity data worldwide to support scientific research. GBIF shares over 200 million biodiversity records through data publishers and resources. The document proposes a Data Publishing Framework to improve data mobilization and cultural acceptance of open data sharing. It describes challenges to the framework and its potential impacts, such as increased data usage and quality through incentives like data papers and a Data Usage Index.
GBIF BIFA mentoring, Day 5a Data management, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
Credits: EUDAT/OpenAire, December 2015 & May 2016, CC-BY-4.0
* http://www.slideshare.net/EUDAT/eudat-research-data-management
* http://www.slideshare.net/EUDAT/research-data-management-introduction-eudatopen-aire-webinar?ref=https://eudat.eu/events/webinar/research-data-management-an-introductory-webinar-from-openaire-and-eudat
* https://eudat.eu/events/webinar/research-data-management-an-introductory-webinar-from-openaire-and-eudat
* http://www.instantpresenter.com/WebConference/RecordingDefault.aspx?c_psrid=EB57D6888147
The document summarizes the recommendations of the GBIF Governing Board's Global Strategy and Action Plan for Mobilization of Natural History Collections Data task group. The task group recommends that GBIF facilitate discovery of non-digital collection resources, increase efficiency of data capture and quality of digitized specimens, and improve infrastructure for publishing digitized collection data globally.
GBIF BIFA mentoring, Day 2 Publish data, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
#HepaticaWeek April 2016, GBIF data publishingDag Endresen
Citizen science species observation reporting and data publishing with the Global Biodiversity Information Facility (GBIF). Video feed available at: https://youtu.be/t22QmFPcvOM?t=34m4s
Data publication meeting at the Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences (NMBU), GBIF Norway and the Norwegian Biodiversity Information Centre (Artsdatabanken).
Web service technologies, at CGIAR ICT-KM workshop in Rome (2005)Dag Endresen
Presentation of web services for the CGIAR ICT-KM training workshop on information interoperability, 13th June 2005, at IPGRI Rome Italy. Dag Endresen (Nordic Gene Bank).
The document discusses GBIF's 2010-2011 work programme highlights related to improving content for science and society. It outlines GBIF's approach to focus on community needs, expand content coverage to include multimedia and observations, and increase relevance through facilitating the flow of data and information to scientific publications and decisions. It also analyzes current coverage and content biases and trends to help guide GBIF's science focus in 2011.
Trait Mining, prediction of agricultural traits in plant genetic resources with ecological parameters. Focused Identification of Germplasm Strategy (FIGS). For the Vavilov seminars at the IPK Gatersleben 13th June 2007. Dag Endresen, Michael Mackay, Kenneth Street.
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
Introduction to GBIF. GBIF seminar in Bergen. 2016-12-14Dag Endresen
GBIF Norway provides a summary of biodiversity data publishing and access activities in Norway through the Global Biodiversity Information Facility (GBIF). Over 22 million occurrence records with locations in Norway have been published through GBIF from 31 countries worldwide. The GBIF node team at the University of Oslo works to publish Norwegian biodiversity data and facilitate its use. They collaborate with other Norwegian institutions like Artsdatabanken and NTNU University Museum to advance open data policies and research utilizing GBIF.
GBIF BIFA mentoring, Day 4b Event core, July 2016Dag Endresen
GBIF BIFA mentoring in Los Banos, Philippines for the South-East Asian ASEAN Biodiversity Heritage Parks. With Dr. Yu-Huang Wang, Dr. Po-Jen Chiang, and Guan-Shuo Mai from TaiBIF the GBIF node of Taiwan (Chinese Tapei); and the Biodiversity Informatics team at ASEAN Centre For Biodiversity. http://www.gbif.no/events/2016/gbif-bifa-mentoring.html
TDWG and GBIF, at European genbank network meeting (Bonn, April 2004)Dag Endresen
Presentation of TDWG and GBIF for the ECP/GR D&I Network meeting at ZADI Bonn Germany 11th April 2005. Dag Endresen (Nordic Gene Bank). TDWG is a standardization body for Biodiversity Information Standards; GBIF is a Global Biodiversity Information Facility for free and open access to biodiversity data.
The document summarizes the state of data publishing through the Global Biodiversity Information Facility (GBIF) network. It finds that while data records are increasing, the rate of increase is declining. Developing regions contribute the most data, with the Avian Knowledge Network as the single largest data publisher. Over 2.4 billion records have been identified by GBIF participants but only around 800 million are accessible digitally and participants have committed to publishing less than 25% of available records by 2010. There remains a need for more strategic and planned approaches to data discovery and publishing with an emphasis on both local and global efforts.
The role of biodiversity informatics in GBIF, 2021-05-18Dag Endresen
The document discusses the role of biodiversity informatics and the Global Biodiversity Information Facility (GBIF) in making biodiversity data available through open access. GBIF provides free and open access to over 1.6 billion species occurrence records from over 1600 data publishers. The document highlights how digitizing natural history collections and integrating diverse biodiversity data sources can support research and policy goals. It emphasizes best practices like using common data standards, publishing datasets on GBIF to make them widely discoverable and reusable, and citing data with DOIs to incentivize open data sharing.
GBIF is exploring strategies to guide its work towards 2030. Key areas of focus include:
1. Increasing engagement with the scientific community through training, tools, and enabling nodes to better support national and regional research.
2. Filling data gaps in taxonomy, geography, and time through prioritizing mobilization of new data resources and checklists.
3. Developing new infrastructure and services like data annotation, machine learning tools, and metrics to improve data quality, reuse, and support digitization of legacy collections.
GBIF BIFA mentoring, Day 1 GBIF intro, July 2016Dag Endresen
GBIF enables free and open access to biodiversity data online. It is an international initiative focused on making biodiversity data available for scientific research, conservation and sustainable development. The document provides statistics on the number of species occurrence records, datasets, and data publishing institutions in GBIF as of June 2016. It also shows graphs of the growth in biodiversity data through GBIF over time and the number of data publishers and downloads by country.
GBIF is a global biodiversity data infrastructure that provides open access to over 1.6 billion species occurrence records. It connects over 1,600 data publishers through a voluntary network of participants and aims to facilitate research and policy related to biodiversity and sustainable development. Data shared through GBIF is cited with digital object identifiers to give credit to data publishers and encourage further data sharing. The presentation reviewed GBIF's role in open science and data citation principles, provided statistics on global and Norwegian contributions to the network, and explained how to publish and cite biodiversity data through GBIF.
The document discusses the DiscoverEDINA project which has three strands of activity: 1) Geo, which enhances multimedia content metadata like geo tags, 2) MediaHub, which crowdsources metadata for MediaHub items, and 3) SUNCAT, which contributes open metadata to SUNCAT in different formats. Each strand optimizes data for reuse, adopts open licensing, and uses existing EDINA APIs. The conclusion questions how the tools and metadata will be used, discusses business models for open metadata, and whether metadata alone enables discovery and use.
The document discusses a meeting agenda between GBIF (Global Biodiversity Information Facility) and Elsevier to discuss opportunities for collaboration around data publishing and sharing biodiversity data. Some key points discussed in the agenda include GBIF's role in facilitating open access to biodiversity data, its data publishing framework to encourage data mobilization and sharing, and potential areas of collaboration around simultaneous publishing of data and scholarly articles.
The document discusses GBIF's (Global Biodiversity Information Facility) goals of facilitating open access to biodiversity data worldwide to support scientific research. GBIF shares over 200 million biodiversity records through data publishers and resources. The document proposes a Data Publishing Framework to improve data mobilization and cultural acceptance of open data sharing. It describes challenges to the framework and its potential impacts, such as increased data usage and quality through incentives like data papers and a Data Usage Index.
GBIF (Global Biodiversity Information Facility) Position Paper: Data Hosting ...Phil Cryer
The document discusses categories of biodiversity data and examples of existing data sources. It notes that while biodiversity data is being generated at an unprecedented rate, significant amounts are being lost after projects end due to poor data management and preservation practices. It proposes the establishment of Biodiversity Data Hosting Centers (BDHC) to provide long-term hosting and archiving of biodiversity data in order to prevent further loss and make data accessible. The document outlines types of biodiversity data, features BDHCs should possess, and barriers to effective data management that need to be addressed.
The document summarizes recommendations from the GBIF GSAP-NHC Task Group on improving the publishing of natural history collections data. It recommends that GBIF facilitate access to information about non-digital collections, work to increase the efficiency of digitizing specimen data and enhance data quality, and improve the global infrastructure for publishing digitized collections data.
The document summarizes recommendations from the GBIF GSAP-NHC Task Group on improving the digitization and publication of natural history collection data. It recommends that GBIF facilitate discovery of non-digital collection resources, increase efficiency and quality of data capture, and improve global infrastructure for publishing digitized collection data. Specifically, it calls for GBIF to publicize non-digital metadata, assess the scale of undigitized specimens, support technological innovations for digitization, and strengthen hosting and identification of published data.
The RDA started through collaboration between the European Commission, NSF/NIST in the US, and Australia. Various meetings in 2012 led to the decision to call the organization the Research Data Alliance (RDA). The RDA held its first plenary meeting in Gothenburg, Sweden in March 2013, which saw 240 participants. The RDA has since grown to over 1000 members from 55 countries working in various interest groups and working groups to develop infrastructure and standards to enable open sharing of research data.
GBIF is an intergovernmental organization that facilitates open access to biodiversity data worldwide via the internet. It provides three main types of infrastructure: physical infrastructure including data workflows and datasets; information infrastructure such as data portals and products; and capability infrastructure like knowledge management and standard development. GBIF aims to make biodiversity data freely available under common standards to support scientific research, conservation, and sustainable development. It currently hosts over 400 million data records from more than 10,000 datasets contributed by its 52 member countries and 36 international organizations.
The document summarizes the challenges and progress of the Global Biodiversity Information Facility (GBIF) in improving interoperability and access to biodiversity data across local, national, and international scales. GBIF has expanded its network from 70 million records in 2007 to over 300 million records today from over 300 data publishers. Key efforts include developing simplified data standards, tools to help publish data, integrating additional data sources, and addressing issues around accurate interpretation of data across scales and languages to improve usability.
2011 06 Ciard Introduction - English - BeijingCIARD
- The document discusses the CIARD initiative, which aims to make agricultural research information and knowledge truly accessible to all by coordinating efforts between organizations, promoting common formats, and adopting open systems.
- It outlines CIARD's vision of creating a global network of public agricultural research collections and lists its core values of advocating effective investment, establishing coherent systems, communicating content, and developing capacities.
- The document provides an overview of CIARD's activities since its launch in 2005, including regional consultations, task forces, and endorsements from organizations like GCARD and FARA.
Making agricultural knowledge globally discoverable: are we there yet?Nikos Manouselis
This document discusses making agricultural knowledge globally accessible through open data initiatives. It describes Agro-Know's work in aggregating and organizing agricultural data from diverse sources to make it discoverable. Current efforts replicate work by harvesting, transforming and indexing data separately. The document envisions a large, open platform that catalogs all relevant agricultural information, makes it machine-readable and discoverable, and allows data to be shared and used to address societal challenges.
Ginny Pannabecker, Life Science & Scholarly Communications Librarian at Virginia Tech, is an ACRL Science and Technology Section (STS) liaison to the American Institute of Biological Sciences (AIBS). This presentation shares key points for librarians and researchers from an AIBS workshop on "Changing Practices in Data Publications," which took place in December 2014 and involved representatives from federal funding agencies; publishers and librarians; scientific societies and journals; and data services / providers.
Global biodiversity data is critical for conservation, policymaking, and scientific research. However, most data is held by small, isolated publishers and is difficult to access. The Global Biodiversity Information Facility (GBIF) aims to mobilize this "small data" by creating common data standards and tools to publish data through its Integrated Publishing Toolkit. This allows data to be discovered through GBIF's portal and used for applications like predicting climate change impacts and invasive species spread. GBIF calls on all data holders to publish their data openly through its framework to build a comprehensive global resource for biodiversity data.
Using information to power innovation. The document discusses a framework for information and data sharing presented at the Second Global Conference on Agricultural Research for Development. It summarizes that [1] innovation requires greater information sharing and access to research outputs, [2] current barriers include low investment in research communication and restricted access to information, and [3] an integrated approach is needed involving policies, capacity development, and collective efforts to make data more accessible and accelerate rural development.
The document introduces GBIF and discusses its origins, operations, and activities in Africa. It can be summarized as follows:
1) GBIF was established in 2001 to make biodiversity data accessible worldwide and now connects over 1,000 data publishers through its online portal.
2) The GBIF network includes data publishing institutions, national nodes coordinating activity, and a governing board that oversees secretariat operations in Copenhagen.
3) In Africa, GBIF aims to increase available biodiversity data through projects that strengthen national networks and mobilize data to support policy needs like protected areas and invasive species.
This document discusses open science and FAIR data principles. It begins by outlining the benefits of open data, including enabling reproducibility, avoiding replication gaps, and allowing data reuse and reinterpretation. Open data practices have transformed areas like genomics and astronomy. FAIR data principles help enable large-scale data use and machine analysis. The document then defines open science, including open access, open data, FAIR data principles, and engagement with society. It discusses frameworks for developing open data strategies at the national and institutional levels. These include developing policies, incentives, skills training, and data infrastructure. While open data brings benefits, it also requires investment and cultural changes to fully realize. Stakeholders like government and research institutions can benefit
Towards the Digital Research EnterprisePhilip Bourne
This document discusses the goals and activities of the Big Data to Knowledge (BD2K) program at the National Institutes of Health (NIH). The BD2K program aims to foster an open digital ecosystem for biomedical research through investing in data science research, establishing appropriate policies and governance, developing necessary infrastructure and tools, and ensuring expertise. It provides funding for centers, workforce development, and other initiatives to support its mission of using data science to accelerate efficient biomedical research. The document outlines BD2K's organization, funding levels over time, and some activities currently outside the program's scope that also support its goals. It emphasizes the importance of cooperation and engagement across efforts to make biomedical data and resources findable, accessible,
This document outlines a framework for information and data sharing to power agricultural innovation. It discusses how (1) innovation requires greater information exchange but access to research outputs is limited, representing a barrier to innovation. It then (2) describes how CIARD, a global partnership of over 375 organizations, aims to improve policies and practices around openly sharing agricultural research information. Finally, it (3) identifies eight priority areas of action including developing tools and standards, building skills and policies, and strengthening advocacy and partnerships to promote open data and information flows.
Conceptualising Framework for Local Biodiversity Heritage Sites (LBHS): A Bio...Vishwas Chavan
This document proposes a conceptual framework for establishing Local Biodiversity Heritage Sites (LBHS) in Maharashtra, India based on a social-ecological model. It discusses how the Biological Diversity Act of 2002 allows local communities to designate biodiversity-rich areas as heritage sites. The framework identifies potential LBHS in two habitats: sacred groves, which are forest patches traditionally protected for their cultural and ecological values; and rocky plateaus, which support unique biodiversity through indigenous management practices. The document argues LBHS can preserve genetic resources, species, ecosystems, knowledge, culture and traditions as a legacy for future generations.
State Biodiversity Boards: Towards Better GovernanceVishwas Chavan
India’s Biological Diversity Act, 2002, and the three-tier
implementation mechanism of the National Biodiversity Authority (NBA), the State Biodiversity Board (SBB), the Union Territory Biodiversity Council (UTBC) and the Biodiversity Management Committee (BMC) is close to two decades old. However, our collective and compounding national progress is much less than satisfactory. One of the major reasons is lack of empowerment
of the SBBs, the UTBCs and resultantly passive functioning of the BMCs. Bottom-upward empowerment of BMCs to SBBs and UTBCs is crucial in order to achieve the National Biodiversity Targets (NBT) and other national biodiversity conservation and sustainable development ambitions. In this article, author proposes a five pillared work program that can help empower
the SBBs and UTBCs that can result in vibrant and optimally governing BMCs. Some or all of the activities mentioned in this article may have been initiated or implemented by few SBBs and UTBCs. However, author calls for coordinated and performance evaluation mechanism being developed and steered by SBBs and UTBC to achieve the national goal of development inclusive biodiversity conservation.
This article discusses Balanophora, a rare and endangered plant found in North East India. It belongs to the family Balanophoraceae. The 15 species in the genus are native to the Old World Tropics. Most species are parasites on tree roots and are found in dense forests in the Himalayan region. They have underground inflorescences that rupture and emerge above ground. The plants are dioecious. Balanophora is listed as an endangered species under Indian law and prohibited from export due to its rarity. The article provides a brief description of the plant's rhizome, scapes, and reproductive structure.
This document provides an overview of bioinformatics education in India. It discusses how bioinformatics education has evolved from short workshops to formal degree programs over time. A key development was the establishment of the Biotechnology Information System network in the 1980s by the Department of Biotechnology, which helped develop bioinformatics infrastructure and training programs in India. The document then describes the current landscape of bioinformatics education in India, including a case study of the master's program in bioinformatics at the University of Pune. It concludes by noting that many universities and institutions now offer bioinformatics education at various levels to train students for careers in this growing field.
The document discusses technologies and infrastructure for publishing biodiversity data from environmental impact assessments (EIA). It covers the types and formats of EIA biodiversity data, tools for data capture and digitization, platforms for data discovery and publishing, ensuring data quality, and hosting data centers to facilitate long-term archiving and publishing of EIA biodiversity data.
The document discusses the need for a Global Biodiversity Resources Discovery System (GBRDS) to address challenges in discovering biodiversity data. It proposes that GBRDS would act as a registry and discovery service to facilitate finding biodiversity information resources. GBRDS would provide an integrated 'yellow pages' reference for all biodiversity data by reconciling distributed resources and allowing meaningful discovery of data and services in a distributed manner. The document outlines how GBRDS could empower discovery of biodiversity data resources.
The document discusses the Global Biodiversity Resources Discovery System (GBRDS) registry which aims to create a single indexed registry of biodiversity data sources. It outlines activities to develop the registry including building a flexible database, user interface, and API. The registry will integrate distributed biodiversity data and enable discovery of institutions, collections, services, and more.
The document discusses two task groups convened by the Global Biodiversity Information Facility (GBIF) to provide recommendations around metadata and identifiers. The Metadata Implementation Framework Task Group recommended that GBIF develop a distributed metadata catalog system to describe biodiversity data using controlled vocabularies. The LSID-GUID Task Group recommended that GBIF encourage, support and advise on the use of identifiers like LSIDs and URIs to interconnect data and provide identifier resolution services.
The document discusses technical issues and opportunities for improving the Global Biodiversity Information Facility's (GBIF) registry and portals for discovering biodiversity resources. It analyzes GBIF's past use of UDDI registry and data portal, and outlines challenges in developing a new graph-based registry model to better represent the network of institutions, collections, and relationships. The new registry aims to improve discoverability through associating automated and human-generated metadata, uniquely identifying resources, and defining services and vocabularies.
The document proposes developing the Global Biodiversity Resources Discovery System (GBRDS) to address the challenge of discovering distributed biodiversity data and information resources. The GBRDS would consist of a registry to inventory publishers, institutions, datasets and services, and discovery services to search these resources. It would provide a "map" of all biodiversity information to enable discovery. The GBRDS is envisioned as the core of next generation biodiversity informatics infrastructure and aims to become a unified global entry point for discovering biodiversity resources by December 2010.
Publication and dissemination of datasets in taxonomy: ZooKeys working example
Lyubomir Penev, Terry Erwin, Jeremy Miller, Vishwas Chavan, Tom Moritz, Charles Griswold. ZooKeys 11: 1-8 (2009)
doi: 10.3897/zookeys.11.210
The Global Biodiversity Information Facility (GBIF) is an international initiative that aims to provide open access to biodiversity data. It currently has 50 participating countries and 40 international organizations contributing data. GBIF develops standards and tools to help aggregate and publish biodiversity data from various sources. This includes species occurrences, names, taxonomic information, and more. GBIF's data portal allows users to search, browse, and access over 181 million georeferenced records. GBIF is working to integrate biodiversity data on a global scale and support areas like conservation and monitoring of biodiversity trends.
The document discusses the objectives of the GBIF MRTG which include surveying multimedia resource providers and making recommendations on social, technical, and long-term issues. It also mentions drafting a multimedia metadata schema for biodiversity and a global strategy for mobilizing observation, ecology, and multimedia data. Finally, it directs the reader to join the TDWG IMG mailing list to provide comments on a draft multimedia metadata schema.
The document discusses the issue of uneven distribution of biodiversity data around the world, with much of the data held by small publishers and citizen scientists. It notes that these "small data publishers" face challenges in discovering, accessing, managing and publishing their data according to standards. The document calls for developing standards and tools that make it easier for small data publishers to capture, organize and share their biodiversity data in order to help mobilize this important but hard to access data.
The document summarizes several online resources related to sustainability and the environment, biology, space, and medicine. It describes the IndFauna database which provides information on over 90,000 animal species found in India. It also mentions the Forum on Science and Technology for Sustainability sponsored by Harvard University, a site focused on how science can contribute to sustainable development. Additionally, it discusses the Encyclopedia of Astrobiology, Astronomy, and Spaceflight which contains information on topics in space and astronomy, and the Eye Pathologist site featuring over 3,500 images of the anatomy and diseases of the human eye.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
1. GLOBAL BIODIVERSITY INFORMATION FACILITY Vishwas Chavan & Samy Gaiji [email_address] WWW.GBIF.ORG GBIF: An introduction, key points and highlights Building the Biodiversity Informatics Commons ICES WGDIM Meeting 25-27 May 2010 Copenhagen, Denmark
2. GBIF: an intergovernmental initiative to share biodiversity information Currently 5 4 countries; 4 4 International Organisations…
3. Growth in GBIF Participation NB: Drop in Associate Participants in 2007 is attributable to delays in signing the new MOU 2007-2011 Last updated: 2010-02-12 39 51 63 72 78 81 79 88 97 98
4. GBIF’s Mandate ” To facilitate free and open access to biodiversity data worldwide, via the Internet, to underpin scientific research, conservation and sustainable development.” GBIF is govt-initiated, and govt. funded, in response to government agency needs in biodiversity information access and management; GBIF is in service to science, as a global ‘public good’
5. Data shared online via GBIF (> 200 m biodiversity records mapped to a 1 X 1 degree grid) Data Publishers: 312 Data Resources: 9900
15. In summary…GBIF’s Informatics Improved access to Names, Metadata and Primary Biodiversity Data Distributed GBIF informatics architecture Faster and easier publishing of data
19. Primary biodiversity data and information effectively available Data and information that have been produced but are not easy to find, access, and use (i.e not effectively available!) - a gigantic task of mobilising billions of data is still needed, as well as integrating new data. Biological collections Scientific publications Observations Reports Gray literature Data Bases Geography
25. The Science-Policy Interface Management, conservation and sustainable use of biodiversity Policy development and decision making (at local, national, regional, and global levels) Scientific monitoring of status and trends of biodiversity GBIF-published data and analyses
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Editor's Notes
Add a NODES component to this SLIDE as GBIF historical focus has collections as a core
DIGIT has moved from its NHC focus (specimen, observation, multimedia, impact assessments, domain specific task groups). Data Resources Discovery – GBRDS is planned as registry of biodiversity resources, GBRDS Stakeholders workshop, GBRDS as tool for investment in BI. GSAP-NHC has recommended that metadata creation is way forward to expedite NHC digitisation. Innovative approaches are being adopted by the network Participants as fall out of targets set by 2009-2010 WP. Data Mobilisation Strategy Discussions – assess realities, challenges, and potentials of the Participants Data Publishing Framework Task Group: Data Publishing on par with Scholarly publishing: (a) recommendation on data discovery and publishing, (b) data publishing together with scholarly publishing, (c) Data Paper, (d) Data Usage Index, (e) Data Citation Mechanism
DIGIT has moved from its NHC focus (specimen, observation, multimedia, impact assessments, domain specific task groups). Data Resources Discovery – GBRDS is planned as registry of biodiversity resources, GBRDS Stakeholders workshop, GBRDS as tool for investment in BI. GSAP-NHC has recommended that metadata creation is way forward to expedite NHC digitisation. Innovative approaches are being adopted by the network Participants as fall out of targets set by 2009-2010 WP. Data Mobilisation Strategy Discussions – assess realities, challenges, and potentials of the Participants Data Publishing Framework Task Group: Data Publishing on par with Scholarly publishing: (a) recommendation on data discovery and publishing, (b) data publishing together with scholarly publishing, (c) Data Paper, (d) Data Usage Index, (e) Data Citation Mechanism
2011 WP activities of DIGIT area will focus on strengthening network capacities in two areas – Demand driven data discovery & action plans by Participants: Best practice guidelines for strategy & action plan development Comprehensive GAP analysis of GBIF mobilised data Uptake of BIP Index by the Participants in furthering progress in ‘biodiversity informatics’ Strategies for ‘internationalisation’ of data discovery & publishing Implementation of ‘Data Publishing Framework’: Data citation mechanism & service Data Usage Index Data Papers for recognising efforts of authoring enriched metadata documents Simultaneous publishing of ‘peer reviewed paper’ and ‘data’ Institutionalisation of hosting centre infrastructure