Want practical tips and resources to improve your management of research data? On 23 February 2017 this free LIBER webinar focused on the 23 Things list: a set of free, online resources and tools that you can immediately use to change how you manage research data.
Developed in August 2015 by librarians engaged in the Research Data Alliance (RDA), the 23 Things program was created as a training resource for librarians, It has been translated into 11 languages and covers topics related to research data such as data management plans, data literacy, metadata, data citation, data licensing and privacy, data repositories, and communities of practice.
In March 2016, the concept was expanded into a 23-week, national training and community-building program led by the Australian National Data Service. The program was an immediate success. Over 1,200 people participated in the launch webinar and 50 local community groups were formed (in person or virtually), to learn a new ‘thing’ to improve their research data practice.
This webinar explored the content of both the 23 Things resource from RDA, and introduced the in-depth, 23-week training program as an opportunity for professional development and wider adoption and evaluation.
The webinar was organised by LIBER's Working Group on Scientific Information Infrastructures and featured two guests: -- Michael Witt, Associate Professor of Library Science & Head, Distributed Data Curation Center, Purdue University, USA -- Natasha Simons, Senior Research Data Management Specialist, Australian National Data Service, Australia
23 things : http://www.ands.org.au/partners-and-communities/23-research-data-things
Five essentials factors for unlocking the potential for Open Research Data Varsha Khodiyar
This document summarizes the key findings from a report on five essential factors for unlocking the potential of open research data. The report is based on surveys of over 11,000 researchers worldwide. It identifies factors such as clear data sharing policies, dedicated funding and resources for data management, practical help in organizing and sharing data, and training and education. It concludes that support from all stakeholders is needed to encourage widespread data sharing across disciplines and borders.
Data sharing is the practice of making research data openly available to others. It has many benefits including enabling innovation, improving transparency and research integrity, and increasing citations and impact. Major funders now require data sharing as a condition of funding. To share data, it must be prepared by documenting it with metadata and supporting files. This allows others to understand and use the data. Researchers are encouraged to share data in open repositories to maximize access and reuse. Proper preparation of data for sharing helps ensure data is FAIR - Findable, Accessible, Interoperable and Reusable.
This document discusses legal and ethical issues related to data sharing. It covers rights and copyright regarding data, how to address ethics when sharing personal data under GDPR, and obtaining consent from participants. Guidelines are provided for discovering and accessing shared data from repositories. Questions about data sharing are welcomed.
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
Increasing research impact: the national data registry - Alex Ball - Jisc Dig...Jisc
Evidence shows that all forms of research output have a role in increasing the impact and value of research. Data is particularly valuable, which is why research funders are placing so much emphasis on its retention, management and discoverability. However, few universities have data collections large enough to make their data globally visible, and few have the resources to connect data held locally with data in international data centres.
Jisc’s data registry service plans to cost-effectively solve this problem for universities, whilst also providing feedback for them and their researchers on how to increase the impact of their research data. This session will explain the goals and approach of the pilot, relate it to lessons from other countries and in government open data, and explain how Jisc and the community can work together to drive future developments in data discovery.
OU Library Research Support webinar: Data sharingDaniel Crane
Slides from a webinar delivered on 06th February 2018 for OU research staff and students. Covers data sharing policies; Benefits of data sharing; Data repositories; Preparing data for sharing; and Re-using data.
This presentation was provided by Tim McGeary of Duke University during the NISO virtual conference, Open Data Projects, held on Wednesday, June 13, 2018.
Five essentials factors for unlocking the potential for Open Research Data Varsha Khodiyar
This document summarizes the key findings from a report on five essential factors for unlocking the potential of open research data. The report is based on surveys of over 11,000 researchers worldwide. It identifies factors such as clear data sharing policies, dedicated funding and resources for data management, practical help in organizing and sharing data, and training and education. It concludes that support from all stakeholders is needed to encourage widespread data sharing across disciplines and borders.
Data sharing is the practice of making research data openly available to others. It has many benefits including enabling innovation, improving transparency and research integrity, and increasing citations and impact. Major funders now require data sharing as a condition of funding. To share data, it must be prepared by documenting it with metadata and supporting files. This allows others to understand and use the data. Researchers are encouraged to share data in open repositories to maximize access and reuse. Proper preparation of data for sharing helps ensure data is FAIR - Findable, Accessible, Interoperable and Reusable.
This document discusses legal and ethical issues related to data sharing. It covers rights and copyright regarding data, how to address ethics when sharing personal data under GDPR, and obtaining consent from participants. Guidelines are provided for discovering and accessing shared data from repositories. Questions about data sharing are welcomed.
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
Increasing research impact: the national data registry - Alex Ball - Jisc Dig...Jisc
Evidence shows that all forms of research output have a role in increasing the impact and value of research. Data is particularly valuable, which is why research funders are placing so much emphasis on its retention, management and discoverability. However, few universities have data collections large enough to make their data globally visible, and few have the resources to connect data held locally with data in international data centres.
Jisc’s data registry service plans to cost-effectively solve this problem for universities, whilst also providing feedback for them and their researchers on how to increase the impact of their research data. This session will explain the goals and approach of the pilot, relate it to lessons from other countries and in government open data, and explain how Jisc and the community can work together to drive future developments in data discovery.
OU Library Research Support webinar: Data sharingDaniel Crane
Slides from a webinar delivered on 06th February 2018 for OU research staff and students. Covers data sharing policies; Benefits of data sharing; Data repositories; Preparing data for sharing; and Re-using data.
This presentation was provided by Tim McGeary of Duke University during the NISO virtual conference, Open Data Projects, held on Wednesday, June 13, 2018.
Managing, Sharing and Curating Your Research Data in a Digital Environmentphilipdurbin
This document discusses research data management and curation. It describes how data sharing has increased as open science mandates have promoted data availability. Research data is now often shared alongside research articles through bi-directional linking. Self-curation repositories are being developed to help researchers publish and share their data. The benefits of open access include increased visibility, new discoveries through wider collaboration, and compliance with funder mandates. Key requirements for open data include availability, access, redistribution and reuse. Dataverse is presented as a solution for research data management that facilitates data sharing, preservation, citation, exploration and analysis. It issues persistent identifiers and supports various data formats and protocols. Challenges of data management include meaningful aggregation, privacy concerns
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | EUDAT
This webinar discusses research data management. It explains why managing data is important for reproducibility, avoiding data loss, and meeting funder requirements. It outlines Horizon 2020's requirements for open data and describes services from EUDAT and OpenAIRE that can help with the entire data lifecycle from creation to long-term preservation and sharing. The webinar covers best practices like creating data management plans, metadata, using standards, licensing, and selecting repositories to archive and share research data.
Developing metadata curation processes for data that can’t be shared openlyRebecca Grant
This document describes developing metadata curation processes to support data sharing when data cannot be openly shared due to sensitivity. It discusses challenges researchers face in sharing data, especially sensitive personal or commercial data. A metadata curation workflow is presented that provides editorial support to help authors share data appropriately, such as through de-identification or controlled access repositories. The workflow involves collecting detailed metadata from authors and creating records to describe datasets that are available on request. This process improves accessibility of sensitive data while addressing privacy and other restrictions on open sharing.
From Data Policy Towards FAIR Data For All: How standardised data policies ca...Rebecca Grant
There is evidence that good data practice leads to increased citation, increased reproducibility, increased productivity, reduced harm and costs of biased or non-transparent research, and that it helps researchers with career progression and provides a better return on investment in research funding. In this presentation we will share feedback on data sharing from a survey of more than 11,000 researchers globally, as well as evidence from our own implementation of standardised data policies and the work of the Research Data Alliance’s Data Policy Implementation Interest Group.
FAIR Data in Trustworthy Data Repositories Webinar - 12-13 December 2016| www...EUDAT
| www.eudat.eu | This webinar was co-organised by DANS, EUDAT and OpenAIRE and was held on 12th and 13th December 2016.
Everybody wants to play FAIR, but how do we put the principles into practice?
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
The document describes the metadata provided by a FAIR Data Point. It includes metadata for the FAIR Data Point itself, its catalogs, datasets within catalogs, distributions of datasets, and data records. Samples of metadata are provided for each type following the appropriate prefix, such as <http://dev-vm.fair-dtls.surf-hosted.nl:8082/fdp> for the FAIR Data Point and <http://dev-vm.fair-dtls.surf-hosted.nl:8082/fdp/biobank/77350-collection1> for a dataset. The metadata follows FAIR principles and provides details such as titles, descriptions, identifiers, versions, and links between related
A 15 minute presentation covering the terms4FAIRskills project from conception in Jan 2019 until now. This presentation covers the methodology, model iteration and terminology building. Presented at RDA VP17 in the Professionalising Data Stewardship session.
An introduction to the FAIR principles and a discussion of key issues that must be addressed to ensure data is findable, accessible, interoperable and re-usable. The session explored the role of the CDISC and DDI standards for addressing these issues.
Presented by Gareth Knight at the ADMIT Network conference, organised by the Association for Data Management in the Tropics, in Antwerp, Belgium on December 1st 2015.
What infrastructure is necessary for successful research data management (RDM...heila1
RDM life cycle; research data elements in the research life cycle; what is RDM infrastructure; IT infrastructure; Library infrastructure; Research Office infrastructure; Examples of 4 universities RDM service offerings
In recognition that metadata is essential for discoverability and reuse of scholarly works, Crossref will launch the "Metadata 2020" campaign to encourage richer metadata deposits from publishers. The campaign aims to educate publishers on metadata's importance and recognize leaders in the field. Preliminary goals are to raise awareness, encourage public commitments to comprehensive metadata, and equip stakeholders with tools. Intended outcomes include greater discoverability through interconnected metadata and consistency across the scholarly community. Crossref's role is to drive awareness and provide participation reports and scorecards to publishers. The campaign timeline runs from 2016 through 2020.
The dkNET ESP meeting covered the current status and future plans of the dkNET project. Key topics discussed included introducing a new dkNET team member, progress made on previous ESP recommendations like the new portal and user notifications, upcoming outreach activities, and planning for the next ESP meeting in June 2016.
Strand 3: Ralf Schimmer, Max Planck Digital LibraryOAbooks
The Max Planck Society is a large, independent research organization in Germany comprised of 80 institutes across three sections. It is establishing a framework to support open access monograph publishing through its digital library services. Key aspects include growing interest from humanities and social sciences researchers, collaboration with publishers through framework agreements, and pilot projects like Edition Open Access for self-publishing monographs openly. The goal is a sustainable infrastructure while still experimenting with policies and workflows.
The document discusses the Enabling FAIR Data project, which aims to improve data sharing practices in earth and environmental sciences. It outlines the FAIR data principles, key stakeholders in the project including publishers and repositories, and outputs including a commitment statement, repository finder tool, and shared authoring guidelines. The next steps are to encourage more organizations to sign and implement the commitment statement and guidelines to promote open and interoperable data.
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Alfredo jerusalinsky psicoanálisis del autismoAdriana Clavell
Este documento presenta una introducción al psicoanálisis del autismo. Aborda cuestiones teóricas como la constitución del sujeto, el papel del lenguaje y la función materna. Explica que el sujeto se constituye a través de las palabras fundadoras que lo sitúan en el campo simbólico, más allá de la mera satisfacción de necesidades. También describe cómo la madre media el deseo del padre a través de su propio deseo, articulado por un discurso que la trasciende. Finalmente, resume brevemente la
Managing, Sharing and Curating Your Research Data in a Digital Environmentphilipdurbin
This document discusses research data management and curation. It describes how data sharing has increased as open science mandates have promoted data availability. Research data is now often shared alongside research articles through bi-directional linking. Self-curation repositories are being developed to help researchers publish and share their data. The benefits of open access include increased visibility, new discoveries through wider collaboration, and compliance with funder mandates. Key requirements for open data include availability, access, redistribution and reuse. Dataverse is presented as a solution for research data management that facilitates data sharing, preservation, citation, exploration and analysis. It issues persistent identifiers and supports various data formats and protocols. Challenges of data management include meaningful aggregation, privacy concerns
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | EUDAT
This webinar discusses research data management. It explains why managing data is important for reproducibility, avoiding data loss, and meeting funder requirements. It outlines Horizon 2020's requirements for open data and describes services from EUDAT and OpenAIRE that can help with the entire data lifecycle from creation to long-term preservation and sharing. The webinar covers best practices like creating data management plans, metadata, using standards, licensing, and selecting repositories to archive and share research data.
Developing metadata curation processes for data that can’t be shared openlyRebecca Grant
This document describes developing metadata curation processes to support data sharing when data cannot be openly shared due to sensitivity. It discusses challenges researchers face in sharing data, especially sensitive personal or commercial data. A metadata curation workflow is presented that provides editorial support to help authors share data appropriately, such as through de-identification or controlled access repositories. The workflow involves collecting detailed metadata from authors and creating records to describe datasets that are available on request. This process improves accessibility of sensitive data while addressing privacy and other restrictions on open sharing.
From Data Policy Towards FAIR Data For All: How standardised data policies ca...Rebecca Grant
There is evidence that good data practice leads to increased citation, increased reproducibility, increased productivity, reduced harm and costs of biased or non-transparent research, and that it helps researchers with career progression and provides a better return on investment in research funding. In this presentation we will share feedback on data sharing from a survey of more than 11,000 researchers globally, as well as evidence from our own implementation of standardised data policies and the work of the Research Data Alliance’s Data Policy Implementation Interest Group.
FAIR Data in Trustworthy Data Repositories Webinar - 12-13 December 2016| www...EUDAT
| www.eudat.eu | This webinar was co-organised by DANS, EUDAT and OpenAIRE and was held on 12th and 13th December 2016.
Everybody wants to play FAIR, but how do we put the principles into practice?
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
The document describes the metadata provided by a FAIR Data Point. It includes metadata for the FAIR Data Point itself, its catalogs, datasets within catalogs, distributions of datasets, and data records. Samples of metadata are provided for each type following the appropriate prefix, such as <http://dev-vm.fair-dtls.surf-hosted.nl:8082/fdp> for the FAIR Data Point and <http://dev-vm.fair-dtls.surf-hosted.nl:8082/fdp/biobank/77350-collection1> for a dataset. The metadata follows FAIR principles and provides details such as titles, descriptions, identifiers, versions, and links between related
A 15 minute presentation covering the terms4FAIRskills project from conception in Jan 2019 until now. This presentation covers the methodology, model iteration and terminology building. Presented at RDA VP17 in the Professionalising Data Stewardship session.
An introduction to the FAIR principles and a discussion of key issues that must be addressed to ensure data is findable, accessible, interoperable and re-usable. The session explored the role of the CDISC and DDI standards for addressing these issues.
Presented by Gareth Knight at the ADMIT Network conference, organised by the Association for Data Management in the Tropics, in Antwerp, Belgium on December 1st 2015.
What infrastructure is necessary for successful research data management (RDM...heila1
RDM life cycle; research data elements in the research life cycle; what is RDM infrastructure; IT infrastructure; Library infrastructure; Research Office infrastructure; Examples of 4 universities RDM service offerings
In recognition that metadata is essential for discoverability and reuse of scholarly works, Crossref will launch the "Metadata 2020" campaign to encourage richer metadata deposits from publishers. The campaign aims to educate publishers on metadata's importance and recognize leaders in the field. Preliminary goals are to raise awareness, encourage public commitments to comprehensive metadata, and equip stakeholders with tools. Intended outcomes include greater discoverability through interconnected metadata and consistency across the scholarly community. Crossref's role is to drive awareness and provide participation reports and scorecards to publishers. The campaign timeline runs from 2016 through 2020.
The dkNET ESP meeting covered the current status and future plans of the dkNET project. Key topics discussed included introducing a new dkNET team member, progress made on previous ESP recommendations like the new portal and user notifications, upcoming outreach activities, and planning for the next ESP meeting in June 2016.
Strand 3: Ralf Schimmer, Max Planck Digital LibraryOAbooks
The Max Planck Society is a large, independent research organization in Germany comprised of 80 institutes across three sections. It is establishing a framework to support open access monograph publishing through its digital library services. Key aspects include growing interest from humanities and social sciences researchers, collaboration with publishers through framework agreements, and pilot projects like Edition Open Access for self-publishing monographs openly. The goal is a sustainable infrastructure while still experimenting with policies and workflows.
The document discusses the Enabling FAIR Data project, which aims to improve data sharing practices in earth and environmental sciences. It outlines the FAIR data principles, key stakeholders in the project including publishers and repositories, and outputs including a commitment statement, repository finder tool, and shared authoring guidelines. The next steps are to encourage more organizations to sign and implement the commitment statement and guidelines to promote open and interoperable data.
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Alfredo jerusalinsky psicoanálisis del autismoAdriana Clavell
Este documento presenta una introducción al psicoanálisis del autismo. Aborda cuestiones teóricas como la constitución del sujeto, el papel del lenguaje y la función materna. Explica que el sujeto se constituye a través de las palabras fundadoras que lo sitúan en el campo simbólico, más allá de la mera satisfacción de necesidades. También describe cómo la madre media el deseo del padre a través de su propio deseo, articulado por un discurso que la trasciende. Finalmente, resume brevemente la
El documento resume la historia y evolución de los libros electrónicos. Comenzó en 1971 con el Proyecto Gutemberg de Michael Hart y el primer libro electrónico de venta fue el Random House's Electronic Dictionary en 1981. Actualmente hay una gran cantidad de textos disponibles de forma gratuita u onerosa a través de libros electrónicos o e-books, cuya popularidad y conveniencia ha aumentado la demanda cada día.
Este documento presenta un plan de lección para enseñar sobre energía renovable y no renovable a estudiantes de quinto grado. La lección comienza con una discusión sobre lo que los estudiantes ya saben sobre fuentes de energía y un video introductorio. Luego, la maestra lee información sobre diferentes fuentes de energía y hace preguntas para evaluar la comprensión de los estudiantes. Los estudiantes toman notas sobre las primeras fuentes de energía utilizadas y ejemplos actuales de energía renovable y no renovable. La lección con
El Instituto Politécnico Nacional es la institución educativa laica, gratuita de
Estado, rectora de la educación tecnológica pública en México, líder en la
generación, aplicación, difusión y transferencia del conocimiento científico y
tecnológico, creada para contribuir al desarrollo económico, social y político de la
nación. Para lograrlo, su comunidad forma integralmente profesionales en los
niveles medio superior, superior y posgrado, realiza investigación y extiende a la
sociedad sus resultados, con calidad, responsabilidad, ética, tolerancia y
compromiso social.
El Instituto Politécnico Nacional cuenta con un modelo integral de vinculación,
basado en programas académicos y de investigación, que impulsan el desarrollo
de emprendedores y empresas, con alto contenido social y de responsabilidad con el entorno.
Who Turned Off the Hope: Brexit and the NorthCitizen Network
Dr Simon Duffy gave this talk at the University of Leeds and Hope Not Hate event on 23rd March 2017. He proposed that support for Brexit is rooted in a long-term and growing citizen deficit which has left Northern communities powerless to shape their own destinies and subject to severe inequalities created by the failing politics of English democracy.
The document provides guidance on designing successful products and systems. It recommends separating required functions from implementation details, abstracting requirements, solving the abstraction first before implementing, introducing constructive constraints, pursuing bigger design goals that are inclusive of all users, analyzing markets visually, and predicting inevitable futures. It also advises tracking your own annoyances to find problems to solve, performing root cause analysis, pursuing projects that matter more than money, and thinking bigger about opportunities to address massive challenges like climate change through creative problem solving.
The start of the 21st Century brought growing concern in Western Australia over the declining natural supplies of water across the region. To safeguard the future in the longer term it was clear that Perth needed to diversify its water strategy. Find more here http://www.degremont.com.au/projects/perth-seawater-desalination-plant
In failed error propagation (FEP), an erroneous program state (that occurs in testing) does not lead to an observed failure. FEP is known to hamper software testing, yet it remains poorly understood. If we could, for example, assess where FEP is likely to occur then we might be able to produce more effective notions of test coverage that would incorporate an element of semantics. This talk will describe an information theoretic formulation of FEP that is based on conditional entropy. This formulation considers the situation in which we are interested in the potential for an incorrect program state at statement s to fail to propagate to incorrect output. The talk will explore the underlying idea, metrics that have been defined to try to estimate the probability of FEP, and experimental evaluation.
Este documento describe los recursos disponibles en la plataforma de la biblioteca de la Universidad Minuto de Dios. La plataforma ofrece acceso a bases de datos organizadas por temas, libros electrónicos de editoriales de investigación, un catálogo en línea de libros, tesis y archivos, un repositorio institucional de documentos producidos por la universidad y estudiantes, revistas académicas de la universidad y otros recursos como estadísticas y servicios de la biblioteca.
The document discusses how the cost of a pizza varies directly as the square of its radius. It is given that a 6 inch pizza costs $8, and asks how much an 11 inch pizza would cost using this relationship.
Este documento discute sistemas de drenagem urbana e parâmetros hidrológicos relacionados a chuvas. Ele define termos técnicos como sarjeta, galeria e poço de visita. Também explica como medir chuvas usando pluviômetros e pluviógrafos e como calcular intensidade de chuva com base em equações que relacionam duração, frequência e intensidade. Finalmente, fornece exemplos de equações usadas no Brasil.
This recipe requires fish flour, eggs, garlic, and leeks as ingredients. Garlic and leeks are used to flavor the fish flour and eggs. The ingredients are fish flour, eggs, garlic, and leeks.
Este documento trata sobre el tema de la drogadicción. En 3 oraciones:
El documento define qué son las drogas y la drogadicción, explica los diferentes tipos de drogas, sus efectos y riesgos para la salud. También describe estrategias de prevención como la educación y el tratamiento, señalando que la drogadicción es un problema de salud pública que requiere un enfoque multidisciplinario.
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23 things for Research Data - LIBER webinar 23 Feb 2017
1. Michael Witt
23 Things for Research Data
Management
Associate Professor of Library Science, Purdue
University, USA
Libraries for Research Data Interest Group,
Research Data Alliance
LIBER Webinar
23 February 2017
3. Learning resources
1. A “top ten” list of recommendations for libraries to get started
with research data management from LIBER,
http://bit.ly/RDAthing1
2. Relevant concepts are presented and mapped in the e-Science
Thesaurus, http://bit.ly/RDAthing2
3. Understanding the life of research data with the DCC Curation
Lifecycle Model, http://bit.ly/RDAthing3
4. MANTRA online training modules for librarians,
http://bit.ly/RDAthing4
5. Read the most current literature in the Digital Curation
Bibliography, http://bit.ly/RDAthing5
6. Dozens of examples of resource guides created by librarians for
patrons to learn more about data on the SpringShare LibGuide
Community Site, http://bit.ly/RDAthing6
4. Data Reference & Outreach
7. Begin a conversation with a researcher about data by
Conducting a Data Interview, http://bit.ly/RDAthing7
8. Learn more about a researcher’s needs by reading or
creating your own Data Curation Profile,
http://bit.ly/RDAthing8
9. Develop engagement materials to help your librarians
such as the DataOne Librarian Outreach Kit,
http://bit.ly/RDAthing9
10. Questions about data answered by experts on the DataQ
forum, http://bit.ly/RDAthing10
5. Data Management Plans
11. One example is the DMPTool that lists funder
requirements in the United States and builds a plan by
asking the researcher to answer a series of questions.
Other countries such as the U.K. and Canada have similar
tools, http://bit.ly/RDAthing11
Data Literacy
12. The Data Information Literacy project and book
developed a curriculum to help librarians and other
teachers incorporate data into information literacy
outreach and instruction, http://bit.ly/RDAthing12
6. Metadata
13. Determine what metadata format is appropriate and
standard to recommend or apply by using the Metadata
Standards Directory, http://bit.ly/RDAthing13
Citing Data
14. DataCite has resources to help researchers make their
datasets citable to help users give attribution and to begin
measuring impact by issuing Digital Object Identifiers
(DOIs) for datasets, http://bit.ly/RDAthing14
7. Data Licensing and Privacy
15. How to License Research Data from the Digital Curation
Centre can help librarians work with researchers to
choose a license for the data they share,
http://bit.ly/RDAthing15
16. JISC manages the DATAPROTECTION email list with
discussions on issues related to sensitive data,
http://bit.ly/RDAthing16
8. Digital Preservation
17. Understand vocabularies and standards for digital
archives using the Open Archival Information System
(OAIS) reference model and trustworthy digital repository
certifications such as ISO 16363 and the Data Seal of
Approval
18. Find tools that are available to help with digital
preservation using COPTR, http://bit.ly/RDAthing18
9. Data Repositories
19. Find an appropriate repository by searching the
re3data.org registry of research data repositories,
http://bit.ly/RDAthing19
20. Publish and share data now using free, online data
repositories such as figshare, Zenodo, Open Science
Framework, or DataVerse
10. Community of Practice
21. An example of a national approach to research data
management community-building at a federal level is the
Australian National Data Service, http://bit.ly/RDAthing21
22. Some annual conferences that address research data and
involve librarians include the International Digital
Curation Conference (IDCC), Research Data Access &
Preservation Summit (RDAP), International Association for
Social Science and Information Services & Technology
(IASSIST), and Research Data Alliance (RDA)
11. Join the Research Data Alliance!
23. Belong to an international community who builds social
and technical bridges to enable data sharing. It’s free to
join by visiting the website, then subscribe to the Libraries
for Research Data Interest Group,
http://bit.ly/RDAthing23
12. Natasha Simons
23 Things for Research Data
Management
Senior Research Data Management
Specialist
LIBER Webinar
23 February 2017
14. The program
• Online, self-paced program for
anyone interested in learning
more about research data
management
• ‘Do’ one Thing each week
• Share! – community groups,
online Meet Up boards, catch
up webinars, Twitter, Blogs,
crash courses and ‘sprint to the
finish’ courses
ands.org.au/23-things
#23rdthings
15. Topic groupings
• Things 1-3 Ready, set, data!
• Things 4-6 Repositories for data
• Things 7-8 Data citation and impact
• Things 9-10 Rights, ethics and
sensitive data
• Things 11-14 Metadata & more
• Things 15-18 Let’s talk data!
• Things 19-21 Hands on with data &
tools
• Things 22-23 Data communities
19. 23 (rd)
Things
984
signed up
for Kick off
webinar
447
registered for
Community
webinars
94
registered for
virtual health
community
group
49
community
groups
623
people in
MeetUp
13,422
views of
posts on
MeetUp
1,479
newsletter
subscribers
2,953
Credly digital
badges claimed
Participation
statistics
20. Embraced by a global community
Members of the 600 strong meetup community
21. What did participants think?
I liked the range of resources e.g. videos, documents and data
records covering different discipline areas.
Staff are more eager to engage researchers in conversation
now.
My confidence to discuss
research data management
with experts, students and
data librarians has grown -
thank you!
22. What did managers think?
“New and augmented skills of librarians will provide
future benefit to the library as a whole”
Future plans include:
• Expand the level of library staff participation in
research data management
• Continue supporting professional opportunities in
research data management for library staff e.g. reuse
and re-purpose the 23T materials
25. Ideas for re-using 23 Things
• Use the ‘Master File’ of all 23 Things
• Customise for your institution
• Contextualize for your discipline e.g. Top 10
Things for Medical and Health now available
• Put on a crash course and sprint to the finish
course – lesson plans available
These & more at: http://www.ands.org.au/partners-
and-communities/23-research-data-things/toolkit
26. Natasha.Simons@ands.org.au
http://orcid.org/0000-0003-0635-1998
@n_simons
Natasha Simons
With the exception of logos, third party images or where otherwise indicated, this
work is licensed under the Creative Commons Australia Attribution 3.0 Licence.
ANDS is supported by the Australian
Government through the National Collaborative
Research Infrastructure Strategy Program.
Monash University leads the partnership with
the Australian National University and CSIRO.
Editor's Notes
The program developed by the RDA team inspired a small group of Australian librarians and information specialists to create an Australian version of the program called ‘23 (research data) Things’ (ANDS, 2016). Co-ordinated by the Australian National Data Service (ANDS, 2016), this program was designed to build capability and a community of practice around research data management. It expands on the RDA model by challenging participants to ‘do’ 23 Things that will build their confidence and experience with research data management. Like the RDA model, the 23 Things are grouped into several topics including rights, ethics and sensitive data, repositories for data,metadata and crosswalks, data citation and impact. The program is paced for participants to undertake 1 Thing per week to complete all 23 Things over several months. To accommodate a variety of capabilities and learning styles, a choice of 3 activities is provided for each Thing. Participants may be asked to critique a video, comment on a short paper, use a free online tool or search for resources. It is intended to be a hands-on learning program. As they work through each of the 23 Things, participants are encouraged to share their questions, ideas and learnings with others involved in the program through a dedicated online discussion forum, local community groups, webinars and social media. The program was supported by the Australian Library and Information Association (a professional body representing librarians) and the Council of Australian University Librarians (representing librarians in the higher education sector). Uptake of the 23 Things was beyond our wildest dreams…
Aimed at anyone interested in learning more about data management – target group: librarians & research support staff
Participants asked to ‘do’ one Thing each week at their own pace then discuss at community group or via online ‘meet up’ boards. New Thing released a week or two in advance + some break weeks. No pressure - do all 23 Things or only the ones of interest. No sign up.
Input into development of the Things from the library community
Regular calls with community group leaders
Ran crash courses and sprint to the finish courses
ANDS staff monitored meet up boards along with special guests e.g. license expert
Supported by ALIA and CAUL
Bookmarks and stickers!
ANDS catch up webinars
Ran over March to November 2016
Can be re-purposed (will get to this later in the talk)
Each Thing offered at three levels:
Getting Started
Know more
Challenge me
Thing 4: Data discovery
[Introductory background statement]
Click on this RDA record from the Australian Antarctic
Data Centre: Weddell seals in Antarctica
Have a close look at the record to see the ways the Australian Antarctic Division has made this record discoverable and accessible. Note how many times this dataset has been cited and how to cite this data. We will look at data citation in more detail in Thing 7.
Spend a few minutes exploring RDA.
Try browsing or searching on a topic of interest.
See which institutions contribute metadata records to RDA.
Explore a record or two in depth.
Consider: the future impact of having a national research data catalogue.
Do you have a question? Want to share a resource?
webinar = national
community groups = contextualised learning
crash courses = cross institutional and enabled people to learn quickly
Statistics from 1 September
23(research data)Things has been truly embraced by the global community. The initial crowd sourcing of the “Things” was from an international community. Nearly a thousand people from over 10 countries registered for the initial kick off webinar where we explained the program.
Part of the program has been the encouragement of the creation of local groups or communities of practice around data. We know of nearly 50 groups that have formed, either within in a workplace or institution, or at a geographical location or around a certain subdomain of data, in particular the virtual health and medical 23 things community.
We have encouraged this by providing the contact details of the groups on our website. We have also supported these communities with regular webinars for the leaders of the groups.
For the whole community we have encouraged networking and community involvement by forming these local groups, promoting a Twitter #23RDThings hashtag, establishing a national forum using MeetUp, augmented with regular virtual catch ups, and sent out a fortnightly “what’s happening “ newsletter, run the Crash courses and the Sprint to the finish events.
So who has been doing 23 Things?
This map is as of May 2016, and shows members of the over 600 strong MeetUp community.
We can see lots of locations in Australia and a good spread across New Zealand. There’s activity elsewhere in the English speaking world, with a couple of participants in Asia, Middle East and Africa. Since this map was drawn we have also added participants in Germany.
This is just from MeetUp. If we look at the people who have joined our mailing list we have emails from another 5 or 6 countries.
We have also provided a bunch of other resources and incentives including Credly badges, bookmarks and posters that can be used to help promote 23 (research data) Things. Many of the local groups have used their own incentives many of which seem to involve cake
changed staff engagement with clients: Staff are more eager to engage researchers in conversation now -or-- My confidence to discuss research data management with experts, students and data librarians has grownneed for variety and challenge - online does not work for a long sustained change in community -- I liked the range of resources eg videos, documents and data records covering different disciples
Add What did Managers think?
this is key to this group - great for individuals but what would an investment in this program result in?
As the 23T program came to a close:
39% of respondents indicated they had plans in place to expand the level of library staff
participation in research data management
33% had no plans at that time
72% of respondents intend to continue supporting professional development opportunities in research
data management for their library staff
The shift of individual capability has been extensive. Several participants commented that they were able to develop their data management skills because the program was free, online, flexible and multilevel.
More than 80% of respondents now regard themselves as ‘knowledgeable’ or ‘very knowledgeable’, up from just over 10% at the beginning of the program
30% are now confident enough to apply for positions involving research data
13% are considering enrolling in a University course to get a formal data qualification
This represents a timely opportunity for managers to leverage newly developed skills and confidence to implement or further develop research data management support services.
While the program is still underway, our ongoing evaluation suggests an opportunity to build on the 23 (research data) Things program by: repackaging the resources developed for new uses and audiences; encouraging others to repurpose the resources to meet specific institutional, discipline or community needs; running follow on programs during 2017 that will further develop knowledge and skills developed during the 23 (research data) Things program.
Use the ‘Master File’ of all 23 Things (69 pages!)
Contextualize 23T for your discipline e.g. Top 10 Things for Medical and Health now available
Put on a crash course and sprint to the finish course – lesson plans available
Customise 23T for your institution – include your own services and examples
Select a few Things that could be offered as a 1 hour workshop
word doc
Top Ten health and medical
Listen in program (will get it up on the web on Monday)
crash course and sprint lesson plans
Master file of all 23 Things
Includes all the Getting started, Learn more, and Challenge me activities to reuse and edit (69 pages).
Open the master file (DOCX, 1.19 MB)
Open the master file (PDF, 1.69 MB)
10 Medical and Health Things to reuse and edit
10 medical and health research data Things (DOCX, 0.91 MB)
10 medical and health research data Things (PDF, 0.95 MB) Prepackaged short courses
Things 1-12 Crash Course outline: a run sheet with suggested timings, resources and activities.
Things 13-23 Sprint to the Finish course outline (DOCX, 0.02 MB): a run sheet with suggested timing, resources and activities.