scholarly journals Transforming Biodiversity Data into Knowledge for Decision-making

2019 ◽  
Vol 3 ◽  
Author(s):  
Lauren Weatherdon
Keyword(s):  
Decision Making ◽  
Biodiversity Data ◽  
Biodiversity Indicators ◽  
Technological Advances ◽  
Darwin Core ◽  
Metadata Standards ◽  
Essential Biodiversity Variables ◽  
Development Goals ◽  
Multiple Levels ◽  
Communication Needs

Ensuring that we have the data and information necessary to make informed decisions is a core requirement in an era of increasing complexity and anthropogenic impact. With cumulative challenges such as the decline in biodiversity and accelerating climate change, the need for spatially-explicit and methodologically-consistent data that can be compiled to produce useful and reliable indicators of biological change and ecosystem health is growing. Technological advances—including satellite imagery—are beginning to make this a reality, yet uptake of biodiversity information standards and scaling of data to ensure its applicability at multiple levels of decision-making are still in progress. The complementary Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs), combined with Darwin Core and other data and metadata standards, provide the underpinnings necessary to produce data that can inform indicators. However, perhaps the largest challenge in developing global, biological change indicators is achieving consistent and holistic coverage over time, with recognition of biodiversity data as global assets that are critical to tracking progress toward the UN Sustainable Development Goals and Targets set by the international community (see Jensen and Campbell (2019) for discussion). Through this talk, I will describe some of the efforts towards producing and collating effective biodiversity indicators, such as those based on authoritative datasets like the World Database on Protected Areas (https://www.protectedplanet.net/), and work achieved through the Biodiversity Indicators Partnership (https://www.bipindicators.net/). I will also highlight some of the characteristics of effective indicators, and global biodiversity reporting and communication needs as we approach 2020 and beyond.

scholarly journals Darwin Core for Agricultural Biodiversity: A metadata extension proposal

2019 ◽  
Vol 3 ◽  
Author(s):  
Filipi Soares ◽  
Benildes Maculan ◽  
Debora Drucker
Keyword(s):  
Biological Diversity ◽  
Agricultural Research ◽  
Convention On Biological Diversity ◽  
Biological Interactions ◽  
Agricultural Biodiversity ◽  
Biodiversity Data ◽  
Standard Format ◽  
Darwin Core ◽  
Metadata Standards ◽  
Biodiversity Information

Agricultural Biodiversity has been defined by the Convention on Biological Diversity as the set of elements of biodiversity that are relevant to agriculture and food production. These elements are arranged into an agro-ecosystem that compasses "the variability among living organisms from all sources including terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part: this includes diversity within species, between species and of ecosystems" (UNEP 1992). As with any other field in Biology, Agricultural Biodiversity work produces data. In order to publish data in a way it can be efficiently retrieved on web, one must describe it with proper metadata. A metadata element set is a group of statements made about something. These statements have three elements, named subject (thing represented), predicate (space filled up with data) and object (data itself). This representation is called triples. For example, the title is a metadata element. A book is the subject; title is the predicate; and The Chronicles of Narnia is the object. Some metadata standards have been developed to describe biodiversity data, as ABCD Data Schema, Darwin Core (DwC) and Ecological Metadata Language (EML). The DwC is said to be the most used metadata standard to publish data about species occurrence worldwide (Global Biodiversity Information Facility 2019). "Darwin Core is a standard maintained by the Darwin Core maintenance group. It includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. Darwin Core is primarily based on taxa, their occurrence in nature as documented by observations, specimens, samples, and related information" (Biodiversity Information Standards (TDWG) 2014). Within this thematic context, a master research project is in progress at the Federal University of Minas Gerais in partnership with the Brazilian Agricultural Research Corporation (EMBRAPA). It aims to apply the DwC on Brazil’s Agricultural Biodiversity data. A pragmatic analysis of DwC and DwC Extensions demonstrated that important concepts and relations from Agricultural Biodiversity are not represented in DwC elements. For example, DwC does not have significant metadata to describe biological interactions, to convey important information about relations between organisms in an ecological perspective. Pollination is one of the biological interactions relevant to Agricultural Biodiversity, for which we need enhanced metadata. Given these problems, the principles of metadata construction of DwC will be followed in order to develop a metadata extension able to represent data about Agricultural Biodiversity. These principles are the Dublin Core Abstract Model, which present propositions for creating the triples (subject-predicate-object). The standard format of DwC Extensions (see Darwin Core Archive Validator) will be followed to shape the metadata extension. At the end of the research, we expect to present a model of DwC metadata record to publish data about Agricultural Biodiversity in Brazil, including metadata already existent in Simple DwC and the new metadata of Brazil’s Agricultural Biodiversity Metadata Extension. The resulting extension will be useful to represent Agricultural Diversity worldwide.

scholarly journals Aligning Standards Communities: Sustainable Darwin Core MIxS Interoperability

2021 ◽  
Vol 5 ◽  
Author(s):  
Raïssa Meyer ◽  
Pier Buttigieg ◽  
John Wieczorek ◽  
Thomas Jeppesen ◽  
William Duncan ◽  
...  
Keyword(s):  
Data Networks ◽  
Semantic Mapping ◽  
Nucleotide Sequencing ◽  
Sequencing Data ◽  
Biodiversity Data ◽  
Domain Experts ◽  
Darwin Core ◽  
Metadata Standards ◽  
Data Infrastructures ◽  
Global Biodiversity

Biodiversity is increasingly being assessed using omic technologies (e.g. metagenomics or metatranscriptomics); however, the metadata generated by omic investigations is not fully harmonised with that of the broader biodiversity community. There are two major communities developing metadata standards specifications relevant to omic biodiversity data: TDWG, through its Darwin Core (DwC) standard, and the Genomic Standard Consortium (GSC), through its Minimum Information about any (x) Sequence (MIxS) checklists. To prevent these specifications leading to silos between the communities using them (e.g. INSDC: an internationally mandated database collaboration for nucleotide sequencing data [from health, biodiversity, microbiology, etc.] using the MIxS checklists; OBIS and GBIF: global biodiversity data networks using the DwC standard), there is a need to harmonise them at the level of the standards organisations themselves. To this end, we have brought together representatives from these standardisation bodies, along with representatives from established biodiversity data infrastructures, domain experts, data generators, and publishers to develop sustainable interoperability between the two specifications. Together, we have: generated a semantic mapping between the terminology used in each specification, and syntactic mapping of their associated values following the Simple Standard for Sharing Ontology Mappings (SSSOM), and created an example MIxS-DwC extension showing the incorporation of unmapped MIxS terms into a DwC-Archive. generated a semantic mapping between the terminology used in each specification, and syntactic mapping of their associated values following the Simple Standard for Sharing Ontology Mappings (SSSOM), and created an example MIxS-DwC extension showing the incorporation of unmapped MIxS terms into a DwC-Archive. To sustain these mechanisms of interoperability, we have proposed a Memorandum of Understanding between the GSC and TDWG. During our work, we also noted a number of key challenges that currently preclude interoperation between these two specifications. In this talk, we will outline the major steps we took to get here, as well as the future activities we recommend based on our outputs.

BiGe-Onto: An ontology-based system for managing biodiversity and biogeography data1

2020 ◽  
Vol 15 (4) ◽  
pp. 411-437 ◽  
Author(s):  
Marcos Zárate ◽  
Germán Braun ◽  
Pablo Fillottrani ◽  
Claudio Delrieux ◽  
Mirtha Lewis
Keyword(s):  
Data Sources ◽  
Biodiversity Data ◽  
Global Biodiversity Information Facility ◽  
Sparql Endpoint ◽  
Darwin Core ◽  
Metadata Standards ◽  
Great Progress ◽  
Global Biodiversity ◽  
Research Domains ◽  
Biodiversity Information

Great progress to digitize the world’s available Biodiversity and Biogeography data have been made recently, but managing data from many different providers and research domains still remains a challenge. A review of the current landscape of metadata standards and ontologies in Biodiversity sciences suggests that existing standards, such as the Darwin Core terminology, are inadequate for describing Biodiversity data in a semantically meaningful and computationally useful way. As a contribution to fill this gap, we present an ontology-based system, called BiGe-Onto, designed to manage data together from Biodiversity and Biogeography. As data sources, we use two internationally recognized repositories: the Global Biodiversity Information Facility (GBIF) and the Ocean Biogeographic Information System (OBIS). BiGe-Onto system is composed of (i) BiGe-Onto Architecture (ii) a conceptual model called BiGe-Onto specified in OntoUML, (iii) an operational version of BiGe-Onto encoded in OWL 2, and (iv) an integrated dataset for its exploitation through a SPARQL endpoint. We will show use cases that allow researchers to answer questions that manage information from both domains.

scholarly journals Strengthening the Participation of Organisations of Persons with Disabilities in the Decision-Making of National Government and the United Nations: Further Analyses of the International Disability Alliance Global Survey

Disabilities ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 202-217
Author(s):  
Joanne McVeigh ◽  
Malcolm MacLachlan ◽  
Delia Ferri ◽  
Hasheem Mannan
Keyword(s):  
Decision Making ◽  
Sustainable Development Goals ◽  
Secondary Data ◽  
National Government ◽  
Daily Lives ◽  
Persons With Disabilities ◽  
The Sustainable Development ◽  
Global Survey ◽  
Development Policies ◽  
Development Goals

The participation of organisations of persons with disabilities (OPDs) is crucial at each stage of policy processes at the local, regional, and international levels. However, decision-making mechanisms have traditionally excluded OPDs, failing to consult with them on decisions that impact on their daily lives. The overall aim of this study was to examine the participation of persons with disabilities and OPDs in development programmes and policies by exploring recommendations from a sample of OPDs on ways to strengthen their participation with government and the UN. Secondary data analysis was conducted using a global survey on the participation of OPDs, administered by the International Disability Alliance to OPD representatives. Two open-ended items were analysed, which explored participants’ recommendations on ways to strengthen their participation with government and the UN. Data were analysed using the descriptive and interpretive qualitative methods. Respondents provided recommendations on how to strengthen their participation with their national government and the UN, focusing on several issues including accessibility, human rights, and the need for inclusion of all OPDs and all groups of persons with disabilities. The synergy between the Convention on the Rights of Persons with Disabilities and the Sustainable Development Goals presents opportunities for OPDs to increase their participation in development policies and programmes. It is vital, however, to dismantle the barriers to participation in decision-making by OPDs and persons with disabilities.

scholarly journals A robust machine learning approach to SDG data segmentation

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Kassim S. Mwitondi ◽  
Isaac Munyakazi ◽  
Barnabas N. Gatsheni
Keyword(s):  
Temporal Variations ◽  
Data Repository ◽  
The Sustainable Development ◽  
Complex Interactions ◽  
Data Segmentation ◽  
Technological Advances ◽  
Machine Learning Approach ◽  
Development Goals ◽  
Data Source ◽  
Spatio Temporal

Abstract In the light of the recent technological advances in computing and data explosion, the complex interactions of the Sustainable Development Goals (SDG) present both a challenge and an opportunity to researchers and decision makers across fields and sectors. The deep and wide socio-economic, cultural and technological variations across the globe entail a unified understanding of the SDG project. The complexity of SDGs interactions and the dynamics through their indicators align naturally to technical and application specifics that require interdisciplinary solutions. We present a consilient approach to expounding triggers of SDG indicators. Illustrated through data segmentation, it is designed to unify our understanding of the complex overlap of the SDGs by utilising data from different sources. The paper treats each SDG as a Big Data source node, with the potential to contribute towards a unified understanding of applications across the SDG spectrum. Data for five SDGs was extracted from the United Nations SDG indicators data repository and used to model spatio-temporal variations in search of robust and consilient scientific solutions. Based on a number of pre-determined assumptions on socio-economic and geo-political variations, the data is subjected to sequential analyses, exploring distributional behaviour, component extraction and clustering. All three methods exhibit pronounced variations across samples, with initial distributional and data segmentation patterns isolating South Africa from the remaining five countries. Data randomness is dealt with via a specially developed algorithm for sampling, measuring and assessing, based on repeated samples of different sizes. Results exhibit consistent variations across samples, based on socio-economic, cultural and geo-political variations entailing a unified understanding, across disciplines and sectors. The findings highlight novel paths towards attaining informative patterns for a unified understanding of the triggers of SDG indicators and open new paths to interdisciplinary research.

scholarly journals Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

2021 ◽  
Vol 13 (11) ◽  
pp. 6038
Author(s):  
Sergio Alonso ◽  
Rosana Montes ◽  
Daniel Molina ◽  
Iván Palomares ◽  
Eugenio Martínez-Cámara ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Sustainable Development Goals ◽  
Modern Society ◽  
Agenda 2030 ◽  
Model Based ◽  
Development Goals ◽  
Sustainability Challenges ◽  
New Research ◽  
Decision Making Model

The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges.

scholarly journals Society 5.0: A Japanese Concept for a Superintelligent Society

2021 ◽  
Vol 13 (12) ◽  
pp. 6567
Author(s):  
Carolina Narvaez Rojas ◽  
Gustavo Adolfo Alomia Peñafiel ◽  
Diego Fernando Loaiza Buitrago ◽  
Carlos Andrés Tavera Romero
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Modern Technology ◽  
Birth Rates ◽  
The Sustainable Development ◽  
Technological Advances ◽  
Development Goals

This document discusses the Japanese context of Society 5.0. Based on a society-centered approach, Society 5.0 seeks to take advantage of technological advances to finally solve the problems that currently threaten Japan, such as aging, birth rates and lack of competitiveness, among others. Additionally, another objective is to contribute to the progress of the country and develop the foundations for a better world, in which no individual can be excluded from the technological advances of our current society, to achieve this goal, the Sustainable Development Goals (SDG) have been developed. SDGs seek to assess the methods of use of modern technology and thus find the best strategies and tools to use it in a way that guarantees sustainability within the framework of a new society that demands constant renovations.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

Pelaksanaan Sistem Tribunal di Malaysia: Ke Arah Penambahbaikan

2020 ◽  
Vol 32 (2) ◽  
pp. 223-242
Author(s):  
Fariza Romli ◽  
◽  
Harlida Abdul Wahab
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
United Kingdom ◽  
Sustainable Development Goals ◽  
Basic Principles ◽  
Administration System ◽  
The Sustainable Development ◽  
The United Kingdom ◽  
Development Goals ◽  
Administrative Body

The existence of a tribunal system, in addition to helping to smooth the administration system, is considered as sharing power with the judiciary in making decisions. Thus arose the question of decision- making power and prevention of abuse by the administrative body. In line with the Sustainable Development Goals 2030 to ensure justice in support of effective, responsible and inclusive institutions, transparent and fair practices are essential for ensuring people’s trust in the administrative body and government. This paper, therefore, discusses the tribunal system and its implementation in Malaysia. In view of this, tribunal systems that exist in other countries, especially the United Kingdom, are also examined as models for improvement. Matters such as autonomy or control of power and the trial process are among the issues raised. Recommendations for improvement are proposed based on three basic principles—openness, fairness and impartiality—to further strengthen the implementation of the existing tribunal system in line with developments abroad.

Development of Game Theoretic Protocols for Multilevel Design

2010 ◽  
Author(s):  
Ayan Sinha ◽  
Farrokh Mistree ◽  
Janet K. Allen
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Geometric Modeling ◽  
Underwater Vehicle ◽  
Design Problems ◽  
Single Level ◽  
Engineering Teams ◽  
Game Theoretic ◽  
Multiple Levels ◽  
The Relationship

The effectiveness of the use of game theory in addressing multi-objective design problems has been illustrated. For the most part, researchers have focused on design problems at single level. In this paper, we illustrate the efficacy of using game theoretic protocols to model the relationship between multidisciplinary engineering teams and facilitate decision making at multiple levels. We will illustrate the protocols in the context of an underwater vehicle with three levels that span material and geometric modeling associated with microstructure mediated design of the material and vehicle.

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