One of the finalists, eNGO - GRAAM, in the category 'Advocacy', is an initiative of Swami Vivekananda Youth Movement, that works towards advocating policy change.
One of the finalists, eNGO - GRAAM, in the category 'Advocacy', is an initiative of Swami Vivekananda Youth Movement, that works towards advocating policy change.
Open Access policies in Developing and Transition CountriesIryna Kuchma
Presented at the Science and Technology Libraries Section "Open Access to Science and Technology Research Worldwide: Strategies and Best Practices" , 25 August, 75th IFLA World Conference, Milan, Italy
Presentation by Stuart Macdonald of the Edinburgh University Data Library at the Graduate School of Social and Political Science Induction, 15 and 16 Septeber, 2011, University of Edinburgh
The objective of this webinar is to provide an overview of COAR and its activities in support of the development of a global network of repositories. The vision of COAR is to build a seamless knowledge infrastructure through a global Open Access repository network. COAR pursues its vision through an active community of members engaged in working and interest groups, advocacy activities, and training opportunities. The webinar will showcase the work of COAR, the benefits of being part of the organization, collaborative activities, and achievements of COAR.
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Open Science Commons: a holistic and ecological view of science OpenAIRE
OpenAIRE presentation at IFLA 2019 annual conference.
Open science comes on the heels of the fourth paradigm of science, which is based on data-intensive scientific discovery, and represents a new paradigm shift, affecting the entire research lifecycle and all aspects of science execution, collaboration, communication, innovation. From supporting and using (big) data infrastructures for data archiving and analysis, to continuously sharing with peers all types of research results at any stage of the research endeavor and to communicating them to the broad public or commercial audiences, openness moves science away from being a concern exclusively of researchers and research performing organisations and brings it to center stage of our connected society, requiring the engagement of a much wider range of stakeholders: digital and research infrastructures, policy decision makers, funders, industry, and the public itself.
This presentation focuses on two Europe’s flagship initiatives for Open Science, the European Open Science Cloud and Open AIRE (www.openaire.eu), and discusses the role of the libraries in the wider data ecosystem as that of (i) an enabler for openness, FAIRness, participation, transparency and social impact, active in the preservation, curation, publication and dissemination of digital scientific materials, and (ii) a multiplier for training and supporting scientists and non-scientists alike (citizen science, open innovation) for a harmonic co-existence in this emerging environment.
Citizen science and tree health 19 11 2014 v1.1Edward Wilson
This presentation provides an overview of the Ancient Ash Trees in Eden Project. This project ran from 2013-2014 and was a citizen science initiative that raised awareness of the importance of ancient ash trees in Eden District, Cumbria, as well as providing training on tree health survey techniques.
Open Access policies in Developing and Transition CountriesIryna Kuchma
Presented at the Science and Technology Libraries Section "Open Access to Science and Technology Research Worldwide: Strategies and Best Practices" , 25 August, 75th IFLA World Conference, Milan, Italy
Presentation by Stuart Macdonald of the Edinburgh University Data Library at the Graduate School of Social and Political Science Induction, 15 and 16 Septeber, 2011, University of Edinburgh
The objective of this webinar is to provide an overview of COAR and its activities in support of the development of a global network of repositories. The vision of COAR is to build a seamless knowledge infrastructure through a global Open Access repository network. COAR pursues its vision through an active community of members engaged in working and interest groups, advocacy activities, and training opportunities. The webinar will showcase the work of COAR, the benefits of being part of the organization, collaborative activities, and achievements of COAR.
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Open Science Commons: a holistic and ecological view of science OpenAIRE
OpenAIRE presentation at IFLA 2019 annual conference.
Open science comes on the heels of the fourth paradigm of science, which is based on data-intensive scientific discovery, and represents a new paradigm shift, affecting the entire research lifecycle and all aspects of science execution, collaboration, communication, innovation. From supporting and using (big) data infrastructures for data archiving and analysis, to continuously sharing with peers all types of research results at any stage of the research endeavor and to communicating them to the broad public or commercial audiences, openness moves science away from being a concern exclusively of researchers and research performing organisations and brings it to center stage of our connected society, requiring the engagement of a much wider range of stakeholders: digital and research infrastructures, policy decision makers, funders, industry, and the public itself.
This presentation focuses on two Europe’s flagship initiatives for Open Science, the European Open Science Cloud and Open AIRE (www.openaire.eu), and discusses the role of the libraries in the wider data ecosystem as that of (i) an enabler for openness, FAIRness, participation, transparency and social impact, active in the preservation, curation, publication and dissemination of digital scientific materials, and (ii) a multiplier for training and supporting scientists and non-scientists alike (citizen science, open innovation) for a harmonic co-existence in this emerging environment.
Citizen science and tree health 19 11 2014 v1.1Edward Wilson
This presentation provides an overview of the Ancient Ash Trees in Eden Project. This project ran from 2013-2014 and was a citizen science initiative that raised awareness of the importance of ancient ash trees in Eden District, Cumbria, as well as providing training on tree health survey techniques.
Overview of the Institute of Tropical Forest Conservation (ITFC) Uganda
Presentation given to IIED staff in April 2015
Medard Twinamatsiko -Social Research Leader Institute of Tropical Forest Conservation (ITFC)-Mbarara University of Science and Technology (MUST)
Parker allie_Mobilising biodiversity data for science and policy in South Afr...Fatima Parker-Allie
Biodiversity Informatics in South Africa, as in other parts of the world, is a young and dynamic field of science, which translates into an enormous challenge for biodiversity scientists. Understanding mechanisms for information sharing in this landscape has been successful over time. The South African National Biodiversity Institute, houses the GBIF Node, and supports a knowledge-management platform, which makes biodiversity data freely and openly available. The South African Biodiversity Information Facility (SABIF) is a major publisher of biodiversity data, making >11.5 million biodiversity data records available, from a growing network of more than 15 organisations, to the global scientific community. Data standards such as the Darwin Core, and protocols such as TAPIR and the Integrated Publishing Toolkit have been used. Data sharing takes place through both funded and non-funded mechanisms, to initiate digitization activities. A comprehensive policy framework has also been put in place by SANBI, to enable data sharing which takes into account intellectual property rights, citations and sensitive data. The scope of data of types being mobilized is increasing through the Foundational Biodiversity Information Programme with species, specimens, observation, images and molecular data being mobilised, and made accessible. The Information Architecture is evolving to support these data types and to ensure that relevant data can be accessed efficiently in support of science, policy and decision making.
Knowledge Management in Underutilized Crops by A. Sivapragasam, CABI, Malaysiaapaari
Knowledge Management in Underutilized Crops by A. Sivapragasam, CABI, Malaysia - Regional Expert Consultation on Underutilized Crops for Food and Nutritional Security in Asia and the Pacific November 13-15, 2017, Bangkok
Transparent monitoring in practice: Supporting post-Paris land use sector mit...CIFOR-ICRAF
Presented by Stibniati Atmadja, Manuel Boissière, Niki De Sy, Robert Masolele, at "Scoping Workshop: Towards the Enhanced Transparency Framework for REDD+ MRV", ILRI, Addis Ababa, Ethiopia, 30 July 2021
Watershed/Landscape Management for Multiple Benefits and Climate Resilience ...CIFOR-ICRAF
Learn how watershed and landscape management can be made climate resilient and be designed for multiple benefits. This presentation by Sally Bunning, Senior Land/Soils officer of the FAO Land and Water Division focuses on the principles of integrated watershed management, experiences, strategy and lessons learned based on the experiences from East Africa.
Buruchara - Integrated Agricultural Research for Development (IAR4D): An Appr...CIALCA
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
Presentation on behalf of the SA Weather Service presented during SA National Science Week - The harsh realities of climate change, 29 July to 2 August 2019.
Presented at a NeDICC (Network of Data and Information Curation Communities) meeting, 14 March 2019, CSIR, and at the University of Pretoria and the Carnegie Corporation of New York Capstone Conference, 24-29 March 2019, Kieviets Kroon.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
The affect of service quality and online reviews on customer loyalty in the E...
Ecological research data and data sharing complexities in Uganda/SimonTakozekibiNampindo
1. Ecological research data and data sharing
complexities in Uganda
Simon Takozekibi Nampindo
April 25th, 2018
2. Presentation flow
• WCS Data
• Products generated
• Ecological and socioeconomic data sources in
Uganda
• Data access constraints and challenges
• Strategies and best practices
• Recommendations to government
3. VISION:
WCS envisions a world where wildlife thrives in healthy lands and seas, valued by
societies that embrace and benefit from the diversity and integrity of life on earth.
MISSION:
WCS saves wildlife and wild places worldwide through science, conservation
action, education, and inspiring people to value nature.
GOAL:
The conservation of more than 50 percent of the world’s biological diversity while
ensuring a positive impact on millions of people globally.
www.wcsuganda.org www.wcs.org www.albertinerift.org
4. WCS has been
supporting conservation
in Uganda since 1957
Current focus : Greater
Virunga Landscape,
Murchison-Semliki
Landscape and the
Kidepo Landscape.
https://uganda.wcs.org/
6. Taxa and sites with biological data
Taxon Location Recent Survey
period
Partners
Plants KVNP, Otzi and Agoro Agu FR, East Madi WR, QENP, and
Murchison-Semliki Landscape (i.e. MFNP, Kabwoya, Kaiso-Tonya,
Budongo, Bugungu, Karuma, Bugoma, Kagombe, Wambabya,
Bujawe, Corridor forests), QENP, Kyambura, RMNP, Kasyoha-
Kitomi, Kalinzu, Maramagambo (QECA), Semliki Forest, BINP,
Echuya
2014-2017 UWA, NFA
Makerere
University
(CONUS),
NBDB
Birds KVNP, East Madi WR, QENP, and Murchison-Semliki landscape, L.
Albert, Edward, MGAHINGA, BINP, RMNP
2014-2017 NBDB, UWA,
NFA
Small mammals Murchison-Semliki landscape 2014-2015 CONUS, Field
Museum,
Chicago, UWA
Amphibians and
reptiles
Murchison-Semliki landscape 2014-2015 CONUS, UWA
TRENTO
Butter flies and
dragon flies
Murchison-Semliki landscape 2014-2015 CONUS, UWA,
NBDB
Large and medium
mammal surveys
QECA, MFNP, KVNP, BINP, Budongo, Kabwoya, Kaiso-Tonya,
Bugungu, Karuma, Bugoma, KNP, RMNP, EAST MADI
1957- 2015 UWA, NFA
Fisheries L. George & Kazinga Channel (2007/8), L. Albert Catchment (2014) 2014 NaFIRRI
7. Species- specific surveys and sites
Species Location Period of
survey
Partners
Grey crowned crane Country-wide survey, forest
corridors in Murchison-Semliki
landscape
2006, 2016 NatureUganda
Lions QENP, MFNP, KVNP 2010 UWA
Crocodiles
Crocodylus niloticus
MFNP, KVNP 2009-2011 UWA, Mathias
Behangana
Chimpanzees Albertine Rift forests, KK, Kalinzu-
Maramagambo CFRs,
Corridor forests,
1999-2002;
2008, 2009
JGI, WCS, UWA
Mountain Gorillas Bwindi, and Mgahinga UWA, IGCP
Elephants KVNP, QENP, MFNP, Karenga WR,
Lipan
2014 UWA, WCS
8. Landscape level data
Data Type Location Period of
survey
Partners
Long term ecological data
Global Observation Research
Initiative in Alpine Environments
(GLORIA)
(http://www.gloria.ac.at/)
Rwenzori Mountains
NP, Mabira Central
Forest Reserves
2008 ITFC
TEAM
(http://www.teamnetwork.org/)
Bwindi INP, Virunga
Massif
2009 ITFC, CI
Climate data – weather
stations in AR
MFNP, BINP,
KVNP, QENP, SNP
2011 UWA,
ASU
Socioeconomic data AR 2003,
2006-2010
CARE int.,
17. Key sites of conservation importance for
endemic and threatened species in
Uganda
National Red list
assessment for
Uganda
(http://www.nati
onalredlist.org/ca
tegory/library/reg
ion/africa/)
18. DATA SHARING: A COMPLEX
SUBJECT AND VALUABLE
COMMODITY
• The senate committee on commerce and
judiciary spent 2 days discussing data
management, sharing and protection with Mark
Zuckerberg, Founder and CEO, FACEBOOK
20. Data sources
• National data holders
• Biomass data - (NFA)
• Oil & Gas data (Petroleum
Authority)
• Citizens data - National
Information Registration
Authority (NIRA)
• National Population and housing
census data – UBOS
• Biodiversity data (UWA)
• NBDB, DEM, MAK
• NEMA (EIAs, environmental data)
• Public Universities and Research
institutions
• UNCST
• UNRA
• URA (export and import,
revenue)
• Uganda National
Meteorology Authority
• Uganda Police – crime
data
• Judiciary – cases in formal
courts
• Indigenous
technical/ecological
knowledge – indigenous
peoples and Ugandans in
general
• NGOs,
• Private companies
21. Challenges
• Lengthy process, highly bureaucratic, costly
• Most Data is not centrally managed – all over the place
• Not standardized, varied scales (spatial and temporal)
and formats
• Citation/attribution inadequacies
• Legalities and ethical issues – confidential and sensitive
data
• Donor conditions/restrictions/confidentiality terms
• Barriers to effective data sharing and preservation are
deeply rooted in the practices and culture of the
research process as well as the researchers ourselves
• Restrictive Intellectual Property Rights (IPR)
• Competition from researchers and institutions
22. Strategies/best practices
• Some data is commercially available other data is by
request
• MoUs for data management and sharing plan
• Data sharing agreements
• Collaborations and Partnerships
• Provision of data to NBDB & other databases at
Museums, universities, herbaria, GBIF
• Contracts with data holders
• Purchase
• IP negotiations with donors/sponsors
23. Recommendations
• Government should create an open access policy to
publically funded data
• Government commit funding for data collection to
increase
• Develop and operationalize data sharing strategy, e.g. via
an institutional repository, data centre, website
• Data Handling Procedures in Government
• Government develop a clear policy on data availability
and access from donor sponsored data collection
managing and sharing data that apply to projects or the
centre
• Relax the IPRs for data and information of national and
global importance (e.g. IUCN red lists, GBIF) and
protection of IPRs for sensitive information