This talk summarizes the main research topics and future directions of the Research Group in Databases Technologies of University of Information Sciences (UCI)
Reading Group: From Database to DataspacesJürgen Umbrich
The document discusses the concept of dataspaces and dataspace support systems (DSSPs) as a new approach to data management. It describes dataspaces as loosely connected data sources of various formats that are not fully integrated but exist together. DSSPs are proposed to offer services like search, querying, monitoring, and discovery across heterogeneous dataspace participants with varying degrees of control and consistency guarantees. Key challenges discussed include data modeling and querying across different formats, automated discovery of relationships between data sources, and developing theoretical foundations.
The MIDESS Project explored sharing digital content like images between university repositories. It tested standards like OAI-PMH and METS for exchanging metadata and objects. While these standards allow some interoperability, repositories implemented them differently, preventing full sharing. The project highlighted ongoing issues around information architecture, repository functionality for multimedia, and integrating repositories into broader systems.
Ontologies for music from a digital library practitioner's perspectiveJenn Riley
Riley, Jenn. "Ontologies for music from a digital library practitioner's perspective." International Association of Music Libraries Archives and Documentation Centres Annual Conference 2006, June 18-23, 2006
Fedora is a flexible, extensible repository platform for the management and dissemination of digital content. Fedora 4, the new, revitalized version of Fedora, was released into production in November. This significant release signals the effectiveness of an international and complex community driven open source project delivering a modern repository platform with features that meet or exceed current use cases in the management of institutional digital assets. Fedora 4 features include vast improvements in scalability, linked data capabilities, research data support, modularity, ease of use and more. This webinar will provide an overview of Fedora 4 with a focus on the latest features and developments.
This document provides an overview of key concepts in Microsoft Access, including databases, tables, forms, and other objects. It discusses how Access uses objects like tables and forms to organize and enter data. Tables contain records and fields to store different data types. Forms are used for entering, modifying, and viewing records from tables. The objectives are to learn elements of Access like the navigation panel, ribbons, and how to create, update and delete records in databases and tables.
This document discusses challenges in aggregating open data from multiple sources. It proposes a framework called Many Worlds on a Frame (MWF) to address these challenges. MWF models open data as existing in different "conceptual worlds" that provide context. Each world has a type and location defined by hierarchies. MWF supports privileges, inheritance of structure between worlds, and queries across worlds. It aims to enable trusted, distributed utilization of open data from different sources.
The document announces an EU Project Informatics Alignment Workshop on April 24-25 at Imperial College London. It will feature a presentation by Natalja Kurbatova from EMBL-EBI on eTOX, a 7-year project funded by IMI/EFPIA to develop expert systems for predicting toxicities through integrating bioinformatics and chemoinformatics. eTOX aims to build databases, develop ontologies and text mining, characterize compounds, validate QSAR models, and more. The workshop will discuss eTOX's collected data and specific needs for data integration projects.
The document discusses three common Microsoft Office programs - Word, Excel, and PowerPoint. It notes that Word is used for writing documents with headings, bullets and paragraphs and is saved in .docx format. Excel is used for calculations, formulas and data in calculation sheets and is saved in .xlsx format. PowerPoint is used for presentations in meetings and other scenarios and is saved in .pptx format.
Using Dataverse Virtual Archive Technology for Research Data ManagementGary Wilhelm
The document discusses the Dataverse Network, a system for managing and archiving research data developed by the Howard W. Odum Institute. The Dataverse Network allows for centralized archiving of data while also giving researchers distributed control and recognition. It provides persistent identifiers for data, fixes formats, and supports standards for preservation, discovery, and citation of research data. The system benefits researchers by giving them credit and control over their data, and benefits IT providers by providing a free system to archive data long-term.
Elaine L. Westbrooks discusses integrating ORCIDs into identity and access management (Iam) systems at a large research university. She outlines plans to support the university's $1.3 billion research enterprise by taking the lead on communications and membership while partnering with campus IT. Appropriate Iam systems will be selected based on criteria like use cases, impact, and benefit to users. Adoption of ORCIDs will be maximized by adding them to systems like LDAP directories, grants management, researcher profiles, and data repositories. Next steps include examining onboarding of new researchers and students, pursuing integration with major Iam systems, and planning for long-term sustainability by leveraging work from peer institutions.
I presented this in the MEG/EEG meeting at the Donders Centre for Cognitive Neuroimaging, which is part of the Donders Institute, Radboud University, NL.
1. The document proposes an adaptive knowledge portal for the education domain that integrates data from university databases and open data portals about publications, courses, and other educational content.
2. An ontology was developed based on existing ontologies like FOAF, VIVO, and BIBO to represent and manage the scientific data.
3. The proposed system includes a client, glossary server, portal server, and modules for configuration, adaptation, searching, merging, and accessing external data sources to provide students and faculty integrated access to educational resources and definitions from linked open data sources.
The Materials Data Facility: A Distributed Model for the Materials Data Commu...Ben Blaiszik
The Materials Data Facility (MDF) is a distributed model for the materials data community that aims to make materials data more shareable, open, accessible, computable, and valuable. The MDF indexes over 100 terabytes of materials data from various repositories and facilities. It provides services for data discovery, publication with DOIs, and integrates data with computing resources. The goal is to simplify critical tasks in materials science like finding relevant data, training machine learning models across multiple datasets, and reproducing results.
A Survey And Taxonomy Of Distributed Data Mining Research Studies A Systemat...Sandra Long
This document discusses a systematic literature review of distributed data mining (DDM) research studies conducted between 2000-2015. The review aimed to map previous DDM research and identify gaps to motivate future work. It analyzed 486 studies to develop statistics on DDM research trends over time. Key findings included identifying the most influential journals, active researchers, popular research topics, commonly used datasets and methods. The review provided a taxonomy of the DDM field and conclusions to help researchers gain a comprehensive overview of the current state of DDM research.
Research process and research data management. Many universities are looking at how they can better serve the needs of researchers. Ken Chad Consulting worked with the University of Westminster to look the needs and attitudes of researchers and admin staff in terms of research data management (RDM). The result led the University to look first at the whole lifecycle and workflows of research administration. This in turn led to the innovative, rapid development of a system to support researchers and admin staff. Presented by Suzanne Enright (University of Westminster) and Ken Chad at the annual UKSG conference in April 2014
The document summarizes research into developing a single research portal at Westminster University to improve research processes. It found that researchers were unaware of formal research data management practices and struggled with disconnected systems. A proposed solution is a central portal allowing easier identification of support needs, visibility of research, and collaboration. An initial focus on doctoral projects saw time savings. Next steps involve managing research outputs through a single interface. Key lessons are that researchers prefer easy solutions and involvement in development.
The Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University:
1) Shares the second position globally in impact on the World Wide Web and has the largest academic research group in the US working on semantic web, social media, big data, and health applications.
2) Has exceptional student success with internships and jobs at top companies and a total of 100 researchers including 15 highly cited faculty and 45 PhD students, largely funded through $2M+ annually in research funding.
3) Provides world-class resources for multidisciplinary projects across information technology and domains like biomedicine, with collaboration from industry partners like Google and IBM.
An introduction to the Digital Curation CentreMichael Day
The document introduces the Digital Curation Centre (DCC), which aims to support and promote digital curation and preservation. It provides an overview of the DCC's objectives, activities, partners, and services. The DCC conducts research, develops tools and infrastructure, and provides resources, training, and community engagement to advance the field of digital curation.
Experience from 10 months of University Linked Data Mathieu d'Aquin
Experience from 10 months of University Linked Data at the Open University:
1. The Open University exposed its public data as linked open data to make the data more discoverable, reusable, and integrated with other datasets.
2. Exposing data as linked data provides benefits like increased transparency, data reuse internally and externally, and reduced costs of managing the university's public data.
3. Other UK universities have since followed the Open University's example in exposing their data as linked data.
Research Data Service at the University of EdinburghRobin Rice
The University of Edinburgh provides research data management services and resources to support researchers through the entire data lifecycle. These include tools for creating data management plans, storing and sharing research data securely, and preserving data in the long term. The Research Data Service aims to help researchers comply with open science principles and data policies through a range of training programs, online guidance, and technical infrastructure. It has developed a multi-year roadmap and maturity model to continuously improve services based on researchers' needs and priorities like relationship building, communication skills, and consultation.
Presentation given at second running of Digital Curation 101, London, 12 March 2009. The course was organised by the Digital Curation Centre (DCC), and ran from 10-12 March 2009
This document discusses challenges in aggregating open data from multiple sources. It proposes a framework called Many Worlds on a Frame (MWF) to address these challenges. MWF models open data as existing in different "conceptual worlds" that provide context. Each world has a type and location defined by hierarchies. MWF supports privileges, inheritance of structure between worlds, and queries across worlds. It aims to enable trusted, distributed utilization of open data from different sources.
The document announces an EU Project Informatics Alignment Workshop on April 24-25 at Imperial College London. It will feature a presentation by Natalja Kurbatova from EMBL-EBI on eTOX, a 7-year project funded by IMI/EFPIA to develop expert systems for predicting toxicities through integrating bioinformatics and chemoinformatics. eTOX aims to build databases, develop ontologies and text mining, characterize compounds, validate QSAR models, and more. The workshop will discuss eTOX's collected data and specific needs for data integration projects.
The document discusses three common Microsoft Office programs - Word, Excel, and PowerPoint. It notes that Word is used for writing documents with headings, bullets and paragraphs and is saved in .docx format. Excel is used for calculations, formulas and data in calculation sheets and is saved in .xlsx format. PowerPoint is used for presentations in meetings and other scenarios and is saved in .pptx format.
Using Dataverse Virtual Archive Technology for Research Data ManagementGary Wilhelm
The document discusses the Dataverse Network, a system for managing and archiving research data developed by the Howard W. Odum Institute. The Dataverse Network allows for centralized archiving of data while also giving researchers distributed control and recognition. It provides persistent identifiers for data, fixes formats, and supports standards for preservation, discovery, and citation of research data. The system benefits researchers by giving them credit and control over their data, and benefits IT providers by providing a free system to archive data long-term.
Elaine L. Westbrooks discusses integrating ORCIDs into identity and access management (Iam) systems at a large research university. She outlines plans to support the university's $1.3 billion research enterprise by taking the lead on communications and membership while partnering with campus IT. Appropriate Iam systems will be selected based on criteria like use cases, impact, and benefit to users. Adoption of ORCIDs will be maximized by adding them to systems like LDAP directories, grants management, researcher profiles, and data repositories. Next steps include examining onboarding of new researchers and students, pursuing integration with major Iam systems, and planning for long-term sustainability by leveraging work from peer institutions.
I presented this in the MEG/EEG meeting at the Donders Centre for Cognitive Neuroimaging, which is part of the Donders Institute, Radboud University, NL.
1. The document proposes an adaptive knowledge portal for the education domain that integrates data from university databases and open data portals about publications, courses, and other educational content.
2. An ontology was developed based on existing ontologies like FOAF, VIVO, and BIBO to represent and manage the scientific data.
3. The proposed system includes a client, glossary server, portal server, and modules for configuration, adaptation, searching, merging, and accessing external data sources to provide students and faculty integrated access to educational resources and definitions from linked open data sources.
The Materials Data Facility: A Distributed Model for the Materials Data Commu...Ben Blaiszik
The Materials Data Facility (MDF) is a distributed model for the materials data community that aims to make materials data more shareable, open, accessible, computable, and valuable. The MDF indexes over 100 terabytes of materials data from various repositories and facilities. It provides services for data discovery, publication with DOIs, and integrates data with computing resources. The goal is to simplify critical tasks in materials science like finding relevant data, training machine learning models across multiple datasets, and reproducing results.
A Survey And Taxonomy Of Distributed Data Mining Research Studies A Systemat...Sandra Long
This document discusses a systematic literature review of distributed data mining (DDM) research studies conducted between 2000-2015. The review aimed to map previous DDM research and identify gaps to motivate future work. It analyzed 486 studies to develop statistics on DDM research trends over time. Key findings included identifying the most influential journals, active researchers, popular research topics, commonly used datasets and methods. The review provided a taxonomy of the DDM field and conclusions to help researchers gain a comprehensive overview of the current state of DDM research.
Research process and research data management. Many universities are looking at how they can better serve the needs of researchers. Ken Chad Consulting worked with the University of Westminster to look the needs and attitudes of researchers and admin staff in terms of research data management (RDM). The result led the University to look first at the whole lifecycle and workflows of research administration. This in turn led to the innovative, rapid development of a system to support researchers and admin staff. Presented by Suzanne Enright (University of Westminster) and Ken Chad at the annual UKSG conference in April 2014
The document summarizes research into developing a single research portal at Westminster University to improve research processes. It found that researchers were unaware of formal research data management practices and struggled with disconnected systems. A proposed solution is a central portal allowing easier identification of support needs, visibility of research, and collaboration. An initial focus on doctoral projects saw time savings. Next steps involve managing research outputs through a single interface. Key lessons are that researchers prefer easy solutions and involvement in development.
The Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University:
1) Shares the second position globally in impact on the World Wide Web and has the largest academic research group in the US working on semantic web, social media, big data, and health applications.
2) Has exceptional student success with internships and jobs at top companies and a total of 100 researchers including 15 highly cited faculty and 45 PhD students, largely funded through $2M+ annually in research funding.
3) Provides world-class resources for multidisciplinary projects across information technology and domains like biomedicine, with collaboration from industry partners like Google and IBM.
An introduction to the Digital Curation CentreMichael Day
The document introduces the Digital Curation Centre (DCC), which aims to support and promote digital curation and preservation. It provides an overview of the DCC's objectives, activities, partners, and services. The DCC conducts research, develops tools and infrastructure, and provides resources, training, and community engagement to advance the field of digital curation.
Experience from 10 months of University Linked Data Mathieu d'Aquin
Experience from 10 months of University Linked Data at the Open University:
1. The Open University exposed its public data as linked open data to make the data more discoverable, reusable, and integrated with other datasets.
2. Exposing data as linked data provides benefits like increased transparency, data reuse internally and externally, and reduced costs of managing the university's public data.
3. Other UK universities have since followed the Open University's example in exposing their data as linked data.
Research Data Service at the University of EdinburghRobin Rice
The University of Edinburgh provides research data management services and resources to support researchers through the entire data lifecycle. These include tools for creating data management plans, storing and sharing research data securely, and preserving data in the long term. The Research Data Service aims to help researchers comply with open science principles and data policies through a range of training programs, online guidance, and technical infrastructure. It has developed a multi-year roadmap and maturity model to continuously improve services based on researchers' needs and priorities like relationship building, communication skills, and consultation.
Presentation given at second running of Digital Curation 101, London, 12 March 2009. The course was organised by the Digital Curation Centre (DCC), and ran from 10-12 March 2009
Presentation given at: Digital Curation 101, National eScience Centre (NeSC), Edinburgh, 8 October 2008. The course was organised by the Digital Curation Centre (DCC), and ran from 6-9 October 2008
This document summarizes a presentation given at IASSIST in Cologne, Germany in May 2013 about the rise of data journals. It discusses the benefits of publishing data in journals, such as increased citations and reuse of data. However, it also notes challenges including linking data to publications and validating data. Several projects are working to address these challenges and facilitate data publication, such as establishing standards for peer reviewing datasets and enabling automatic exchange of metadata between repositories and publishers. Data journals are increasing in various fields and aim to give academic credit to data creators and provide long-term access to datasets.
Martin Donnelly - Digital Data Curation at the Digital Curation Centre (DH2016)dri_ireland
Presentation given by Martin Donnelly, Senior Institutional Support Officer at the Digital Curation Centre (DCC), as part of the panel session “Digital data sharing: the opportunities and challenges of opening research” at the Digital Humanities conference, Krakow, 15 July 2016. The presentation looks at digital data curation at the DCC.
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataSusanna-Assunta Sansone
1) The document discusses Susanna-Assunta Sansone's roles and work related to promoting FAIR data standards and practices.
2) It highlights some of her leadership positions with organizations like BioSharing that work to map and promote standards.
3) The document also discusses Scientific Data, a peer-reviewed journal launched by Nature Publishing Group to publish detailed descriptions of scientifically valuable datasets to facilitate reuse.
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
SEC: Actualización de la definición de "Inversor Acreditado" en el 2019Marcos Ortiz Valmaseda
La SEC el 18 de diciembre del 2019, actualizó la definición de "inversor acreditado"; y esto podría tener un impacto positivo en las inversiones en el país, sobre todo porque brinda más acceso a personas de menores recursos.
A Partnership with Adyen is Equal to Exponential Growth: 17 Payments Experts ...Marcos Ortiz Valmaseda
Do you want the little secret that allows to global organizations like Uber, Spotify, Facebook, Netflix, Yelp, Dropbox, Hillarys, Evernote, SurveyMonkey and many more hack its growth globally? The "secret" has a name: Adyen. 17 Payments Experts shared what they thought about Adyen and how it has been critical to these organizations to scale globally in the fastest possible way.
This is a version of the presentation I created to apply for a job at Duo Security for a Product Marketing position. Feel free to use the ideas whatever you like.
This report highlights the state of small businesses around the globe, covering countries like United States, India, Malaysia, Singapore, Australia, Germany, New Zealand, South Africa, Brazil, Colombia, Netherlands and many more. It could give a global perspective of the importance of Small and Medium Enterprises for the world economy, and good examples like Singapore and Dubai, UAE have created a well-defined ecosystem to support this economic group.
This is a quick review of the State of CyberSecurity industry in 2015, using insights and data from leader companies in the industry like Check Point Software Technologies, Cisco, Akamai, NowSecure, OpenDNS, Skyhigh Networks and more. The scope of the report is focused in four sectors: Mobile, Internet of Things, Cloud Security and Network Security.
Facebook Exchange, Instagram Ads and Twitter´s Cards are the key players for the Future of Marketing. The original link is: http://prezi.com/z9wwhqo3rjem/?utm_campaign=share&utm_medium=copy
HBase es un sistema de almacenamiento de datos NoSQL de código abierto distribuido y basado en columnas inspirado en Bigtable de Google. Usa HDFS para el almacenamiento y se divide en regiones que se distribuyen entre servidores. Grandes empresas como Facebook, Salesforce y Explorys usan HBase para almacenar decenas de petabytes de datos y miles de millones de filas.
Este documento propone el uso más amplio de PostgreSQL en lugar de sistemas de gestión de bases de datos propietarios en empresas cubanas para reducir costos. Describe las características y ventajas de PostgreSQL y presenta varios subproyectos enfocados en el desarrollo de herramientas de administración, migración, seguridad, alta disponibilidad y soluciones de business intelligence basadas en PostgreSQL.
Este documento resume las características y mejoras clave de PostgreSQL 9.0. Algunas de las principales características incluyen replicación síncrona, exclusiones de restricciones, mejoras en el rendimiento como la eliminación de JOINs innecesarios, y mejoras en los lenguajes procedurales como PL/Python y PL/Perl. La versión 9.0 también trae nuevas funcionalidades como bloques de código anónimos y triggers condicionales. El lanzamiento final de PostgreSQL 9.0 está programado para junio-julio de 2010.
1. Research Group in
Databases
Technologies
MARCOS ORTIZ(@MARCOSLUIS2186)
DATEC,
UNIVERSITY OF INFORMATION SCIENCES
2. Agenda
Foundations and first steps
Research topics
Active members
Activities
Future projections
3. Foundations and first steps
Founded in May 31th, 2012 with 15 members of
the University with a single objective: to push the
research and innovation in Database Systems
and related technologies
Invited
students, members of the Management
team of the University interested on these topics
4. Foundations and first steps
Afterthat, two experienced researchers were
invited to talk about three main topics: How to
publish, write and present scientific papers
One of them was Jorge Gulín González, PhD,
Director of Research at UCI
5. Research topics
PostgreSQL Extension Development
Integration between Relational DBMS and
NoSQL data stores
Big Data analytics-based Applications
Data Migration techniques
Data Warehousing
Data Mining
Semantic Web
6. Active members
Currently,
there are just Three members of
the group which have earned a Master
degree
Keyobjective: to become research and
innovation in Masters and PhDs
7. Activities
Last Thursday of the Month in form of:
Scientific seminars
Articles discussions
Papers related to these topics
Results of research
8. Future projections
Growing of Masters and PhDs related to
Databases Systems (Key objective)
Participationin national and international
events related to Databases Systems and
Applications (ACM SIGMOD, KDD, VLDB,
etc)