The document discusses the potential for open science and data to disrupt traditional academic institutions by deinstitutionalizing rewards and metrics for scientific research. It argues that fully embracing open practices like data sharing, collaboration and publishing in open access venues is necessary for a more transparent and reproducible scientific process, but that many academic institutions have yet to adapt their reward systems to incentivize these activities. The talk outlines steps the scientific community can take to further this transition, such as developing community resources and standards, educating peers, and recognizing the different roles that institutions need to play to support open scholarship.
Copyright is one of the greatest barrier to Open Data. This presentation for insidegovernment UK shows the struggle between those who want to reform copyright and those opposed to reform
Open Data and Open Science presented in Rio for Open Science 2014-08-22. I argue that Open Notebook Science is the way forward and will lead to great benefits
Reward, reproducibility and recognition in research - the case for going OpenDanny Kingsley
The is a keynote presentation for the Eleventh Annual Munin Conference on Scholarly Publishing http://site.uit.no/muninconf/
21 November 2016
The advent of the internet has meant that scholarly communication has changed immeasurably over the past two decades but in some ways it has hardly changed at all. The coin in the realm of any research remains the publication of novel results in a high impact journal – despite known issues with the Journal Impact Factor. This elusive goal has led to many problems in the research process: from hyperauthorship to high levels of retractions, reproducibility problems and 'cherry picking' of results. The veracity of the academic record is increasingly being brought into question. An additional problem is this static reward systems binds us to the current publishing regime, preventing any real progress in terms of widespread open access or even adoption of novel publishing opportunities. But there is a possible solution. Increased calls to open research up and provide a greater level of transparency have started to yield practical real solutions. This talk will cover the problems we currently face and describe some of the innovations that might offer a way forward.
The purpose, practicalities, pitfalls and policies of managing and sharing da...Danny Kingsley
Talk to the Royal Society of Chemistry, Chemical Information and Computer Applications Group conference - Measurement, Information and Innovation: Digital Disruption in the Chemical Sciences. Tuesday 20th October 2015, RSC, Burlington House, Piccadilly, London
Published on Aug 22, 2014 by PMR
Open Data and Open Science presented in Rio for Open Science 2014-08-22. I argue that Open Notebook Science is the way forward and will lead to great benefits
This is a keynote presentation to "Open science, transparence et evaluation. Perspectives et enjeux pour les chercheurs.' Held at Urfist de Bordeaux, France, 4 April 2017
https://sygefor.reseau-urfist.fr/#!/training/6701/7159/?from=true
ABSTRACT: The way research is disseminated has changed immeasurably since the advent of the internet, yet we still reward researchers in the same way - for publication of novel results in high impact journals. This talk will start with a brief discussion of some of the big challenges the research sector is facing as a result and describe how Open Science can address these. The talk will then focus on the difficulty of introducing and implementing Open Science solutions. Open Science questions the status quo, and potentially threatens the established reputation of both institutions and individuals. It is not an easy concept to implement. While the discipline of Scholarly Communication takes a 'meta' view of the whole research ecosystem, most players in that system are working within a narrow view. It is very rare for individuals to be able to see beyond their own experience. Challenges for people trying to implement Open Science initiatives range from practical issues in implementing change, through to the people skills and negotiations required to convince individuals and institutions that this change is necessary.
Copyright is one of the greatest barrier to Open Data. This presentation for insidegovernment UK shows the struggle between those who want to reform copyright and those opposed to reform
Open Data and Open Science presented in Rio for Open Science 2014-08-22. I argue that Open Notebook Science is the way forward and will lead to great benefits
Reward, reproducibility and recognition in research - the case for going OpenDanny Kingsley
The is a keynote presentation for the Eleventh Annual Munin Conference on Scholarly Publishing http://site.uit.no/muninconf/
21 November 2016
The advent of the internet has meant that scholarly communication has changed immeasurably over the past two decades but in some ways it has hardly changed at all. The coin in the realm of any research remains the publication of novel results in a high impact journal – despite known issues with the Journal Impact Factor. This elusive goal has led to many problems in the research process: from hyperauthorship to high levels of retractions, reproducibility problems and 'cherry picking' of results. The veracity of the academic record is increasingly being brought into question. An additional problem is this static reward systems binds us to the current publishing regime, preventing any real progress in terms of widespread open access or even adoption of novel publishing opportunities. But there is a possible solution. Increased calls to open research up and provide a greater level of transparency have started to yield practical real solutions. This talk will cover the problems we currently face and describe some of the innovations that might offer a way forward.
The purpose, practicalities, pitfalls and policies of managing and sharing da...Danny Kingsley
Talk to the Royal Society of Chemistry, Chemical Information and Computer Applications Group conference - Measurement, Information and Innovation: Digital Disruption in the Chemical Sciences. Tuesday 20th October 2015, RSC, Burlington House, Piccadilly, London
Published on Aug 22, 2014 by PMR
Open Data and Open Science presented in Rio for Open Science 2014-08-22. I argue that Open Notebook Science is the way forward and will lead to great benefits
This is a keynote presentation to "Open science, transparence et evaluation. Perspectives et enjeux pour les chercheurs.' Held at Urfist de Bordeaux, France, 4 April 2017
https://sygefor.reseau-urfist.fr/#!/training/6701/7159/?from=true
ABSTRACT: The way research is disseminated has changed immeasurably since the advent of the internet, yet we still reward researchers in the same way - for publication of novel results in high impact journals. This talk will start with a brief discussion of some of the big challenges the research sector is facing as a result and describe how Open Science can address these. The talk will then focus on the difficulty of introducing and implementing Open Science solutions. Open Science questions the status quo, and potentially threatens the established reputation of both institutions and individuals. It is not an easy concept to implement. While the discipline of Scholarly Communication takes a 'meta' view of the whole research ecosystem, most players in that system are working within a narrow view. It is very rare for individuals to be able to see beyond their own experience. Challenges for people trying to implement Open Science initiatives range from practical issues in implementing change, through to the people skills and negotiations required to convince individuals and institutions that this change is necessary.
The ContentMine system (Open Source) can search EuropePMC and download hundreds of articles in seconds. These can be indexed by AMI dictionaries allowing a rapid evaluations and refinement of the search
This is a presentation given to the RLUK 2016 conference held 9-11 March 2016 at the British Library.
Abstract: Before we challenge something it is helpful to understand it. In this talk Danny Kingsley will draw on a debate piece she recently co-authored that argued that open access has been systematically blamed for problems with the scholarly publishing system. This talk argues that amongst librarians, the knowledge of the scholarly communication system is even weaker than within the research community. As a library community we need to increase real understanding of the beast with which we dance. To do so requires a systematic change to the way librarians are educated, their professional development and a shift from managing the academic literature to participating in the generation of it. To not do so risks irrelevance into the future.
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014Jisc
The analysis of government data, data held by business, the web, social science survey data will support new research directions and findings. Big Data is one of David Willetts’ 8 great technologies, and in order to secure the UK’s competitive advantage new investments have been made by the Economic Social Science Research Council ( ESRC) in Big Data, for example the Business Datasafe and Understanding Populations investments. In this session the benefits of the use of Big Data in social science , and the ESRCs Big Data strategy will be explained by Professor David De Roure.of the Oxford e-Research Centre and advisor to the ESRC.
Every year 500 Billion USD of public funding is spent on research, but much of this lies hidden in papers that are never read. I describe how machines can help us to read the literature. However there is massive opposition from publishers who are trying to prevent open scholarship and who build walled gardens that they control
Why we care about research data? Why we share?Richard Ferrers
An introduction to why ANDS cares about research data. ANDS, the Australian National Data Service, encourages researchers to share data. This presentation explains why.
Leveraging the ETD as a pathway to broader discussions about openness in a un...Danny Kingsley
Workshop held as part of ETD2021 https://conferences.uaeu.ac.ae/etd2021/en/index.shtml on 15 November 2021
This workshop will explore different challenges to making ETDs openly available and how they can be used within an institution to engage with faculty in relation to open research practices. Example considerations include the use of third party copyright, whether a data management plan is required as part of the PhD research process and how the ethical approval process can be a natural point for considering and formalizing research integrity issues. Through these processes, universities have an opportunity to not only ensure the next generation of scholars are working with a high level of research integrity, but also to update the skills and knowledge of those who supervise PhD students.
Be careful what you wish for - unexpected policy consequencesDanny Kingsley
This presentation was given to the LIBER 2015 conference held in London in June. It discusses what policies are trying to achieve, the OA policy landscape, the devaluation of the OA 'brand' the administrative focus of OA, the spiralling cost of gold OA, the expense of green OA, and the potential effect on research practice.
Research notes in the form of a deck of slides assembled by Ernesto Priego for the Open Access debate organised by Roger Sabin at Central Saint Martins, University of the Arts, London, Monday 18 March 2013. Also available via Figshare as Open Access Now! Research notes in the form of a deck of slides assembled by Ernesto Priego for the Open Access debate organised by Roger Sabin at Central Saint Martins, University of the Arts, London, Monday 18 March 2013. . Ernesto Priego. figshare.
http://dx.doi.org/10.6084/m9.figshare.654622
The world of research data: when should data be closed, shared or openheila1
That research data should be shared with the rest of the world has become almost evangelical in nature. This paper will try to answer the following questions:
• What are the (real) reasons for ‘forcing’ scientists to open their data, even if they are not ready to do so?
• What right have non-scientists (and scientists) to push indiscriminately for the sharing of data without taking the nuances of research into consideration?
Physical characteristics of research data before it can be shared
Modes of data sharing
Case study: public humiliation in the name of Open Science
Advantages and disadvantages of sharing research data
AI to the rescue of open research articles?
In conclusion
A mash-up of two presentations from my JISC days, for a session with Warwick's Computer Sciences educational technology research group. I focused on concepts of openness and some reflections on change in the context of academic technology.
An introduction to Force11 and Beyond the PDF meetings presented to the WWW2013 meeting in Rio de Janeiro, Brazil on May 15, 2013. Presenters were: Ivan Herman, W3C; Sweitze Roffel, Elsevier; David De Roure, University of Oxford; and Todd Carpenter, NISO.
The ContentMine system (Open Source) can search EuropePMC and download hundreds of articles in seconds. These can be indexed by AMI dictionaries allowing a rapid evaluations and refinement of the search
This is a presentation given to the RLUK 2016 conference held 9-11 March 2016 at the British Library.
Abstract: Before we challenge something it is helpful to understand it. In this talk Danny Kingsley will draw on a debate piece she recently co-authored that argued that open access has been systematically blamed for problems with the scholarly publishing system. This talk argues that amongst librarians, the knowledge of the scholarly communication system is even weaker than within the research community. As a library community we need to increase real understanding of the beast with which we dance. To do so requires a systematic change to the way librarians are educated, their professional development and a shift from managing the academic literature to participating in the generation of it. To not do so risks irrelevance into the future.
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014Jisc
The analysis of government data, data held by business, the web, social science survey data will support new research directions and findings. Big Data is one of David Willetts’ 8 great technologies, and in order to secure the UK’s competitive advantage new investments have been made by the Economic Social Science Research Council ( ESRC) in Big Data, for example the Business Datasafe and Understanding Populations investments. In this session the benefits of the use of Big Data in social science , and the ESRCs Big Data strategy will be explained by Professor David De Roure.of the Oxford e-Research Centre and advisor to the ESRC.
Every year 500 Billion USD of public funding is spent on research, but much of this lies hidden in papers that are never read. I describe how machines can help us to read the literature. However there is massive opposition from publishers who are trying to prevent open scholarship and who build walled gardens that they control
Why we care about research data? Why we share?Richard Ferrers
An introduction to why ANDS cares about research data. ANDS, the Australian National Data Service, encourages researchers to share data. This presentation explains why.
Leveraging the ETD as a pathway to broader discussions about openness in a un...Danny Kingsley
Workshop held as part of ETD2021 https://conferences.uaeu.ac.ae/etd2021/en/index.shtml on 15 November 2021
This workshop will explore different challenges to making ETDs openly available and how they can be used within an institution to engage with faculty in relation to open research practices. Example considerations include the use of third party copyright, whether a data management plan is required as part of the PhD research process and how the ethical approval process can be a natural point for considering and formalizing research integrity issues. Through these processes, universities have an opportunity to not only ensure the next generation of scholars are working with a high level of research integrity, but also to update the skills and knowledge of those who supervise PhD students.
Be careful what you wish for - unexpected policy consequencesDanny Kingsley
This presentation was given to the LIBER 2015 conference held in London in June. It discusses what policies are trying to achieve, the OA policy landscape, the devaluation of the OA 'brand' the administrative focus of OA, the spiralling cost of gold OA, the expense of green OA, and the potential effect on research practice.
Research notes in the form of a deck of slides assembled by Ernesto Priego for the Open Access debate organised by Roger Sabin at Central Saint Martins, University of the Arts, London, Monday 18 March 2013. Also available via Figshare as Open Access Now! Research notes in the form of a deck of slides assembled by Ernesto Priego for the Open Access debate organised by Roger Sabin at Central Saint Martins, University of the Arts, London, Monday 18 March 2013. . Ernesto Priego. figshare.
http://dx.doi.org/10.6084/m9.figshare.654622
The world of research data: when should data be closed, shared or openheila1
That research data should be shared with the rest of the world has become almost evangelical in nature. This paper will try to answer the following questions:
• What are the (real) reasons for ‘forcing’ scientists to open their data, even if they are not ready to do so?
• What right have non-scientists (and scientists) to push indiscriminately for the sharing of data without taking the nuances of research into consideration?
Physical characteristics of research data before it can be shared
Modes of data sharing
Case study: public humiliation in the name of Open Science
Advantages and disadvantages of sharing research data
AI to the rescue of open research articles?
In conclusion
A mash-up of two presentations from my JISC days, for a session with Warwick's Computer Sciences educational technology research group. I focused on concepts of openness and some reflections on change in the context of academic technology.
An introduction to Force11 and Beyond the PDF meetings presented to the WWW2013 meeting in Rio de Janeiro, Brazil on May 15, 2013. Presenters were: Ivan Herman, W3C; Sweitze Roffel, Elsevier; David De Roure, University of Oxford; and Todd Carpenter, NISO.
Open Access and Research Communication: The Perspective of Force11Maryann Martone
Presentation at the National Federation of Advanced Information Services Workshop: Open Access to Published Research: Current Status and Future Directions, Philadelphia, PA USA November 22, 2013
Presented in the workshop session "What Bioinformaticians Need to Know about Digital Publishing Beyond the PDF" at ISMB 2013 in Berlin. https://www.iscb.org/cms_addon/conferences/ismbeccb2013/workshops.php
Keynote presentation delivered at ELAG 2013 in Gent, Belgium, on May 29 2013. Discusses Research Objects and the relationship to work my team has been involved in during the past couple of years: OAI-ORE, Open Annotation, Memento.
ISMB/ECCB 2013 Keynote Goble Results may vary: what is reproducible? why do o...Carole Goble
Keynote given by Carole Goble on 23rd July 2013 at ISMB/ECCB 2013
http://www.iscb.org/ismbeccb2013
How could we evaluate research and researchers? Reproducibility underpins the scientific method: at least in principle if not practice. The willing exchange of results and the transparent conduct of research can only be expected up to a point in a competitive environment. Contributions to science are acknowledged, but not if the credit is for data curation or software. From a bioinformatics view point, how far could our results be reproducible before the pain is just too high? Is open science a dangerous, utopian vision or a legitimate, feasible expectation? How do we move bioinformatics from one where results are post-hoc "made reproducible", to pre-hoc "born reproducible"? And why, in our computational information age, do we communicate results through fragmented, fixed documents rather than cohesive, versioned releases? I will explore these questions drawing on 20 years of experience in both the development of technical infrastructure for Life Science and the social infrastructure in which Life Science operates.
Open Data in a Big Data World: easy to say, but hard to do?LEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Sarah Callaghan, STFC Rutherford Appleton Laboratory
The State of Open Data Report by @figshare.
A selection of analyses and articles about open data, curated by Figshare
Foreword by Professor Sir Nigel Shadbolt
OCTOBER 2016
The slides that will accompany my live webcast for OpenCon 2014 attendees, all about open data in research. The benefits, the how to (both legally & technically), examples, pitfalls, and the future of open research data.
A Revolution in Open Science: Open Data and the Role of Libraries (Professor ...LIBER Europe
This talk was given by Prof. Geoffrey Boulton of the University of Edinburgh at LIBER's 42nd annual conference in Munich. Here is a brief summary: "The data storm that has been unleashed by novel means of data acquisition, manipulation and their instantaneous communication have posed both great challenges and opportunities for science. The challenge is to maintain scientific self-correction, which depends on concurrent publication of concepts and the underlying evidence. The opportunity is to exploit massive and complex data volumes in creating new knowledge. Both are non-trivial tasks. The former requires ‘intelligent openness‘."
"The latter requires new ways of thinking and new forms of collaboration, which make major demands on scientists, their institutions, those that fund science and those who publish it. Open access publishing is important, but open data is fundamental to scientific progress."
"In a post-Gutenberg era, can the library maintain its historic role as an efficient repository of scientific knowledge? Can it provide support for the creation of new knowledge? What responsibilities should it discharge, and how? What skills are required by those discharging the library function? And how do we achieve a realisable objective, of having all the publications online, all the data online, and for the two to be interoperable?"
Learn more about LIBER at www.libereurope.eu
CODATA International Training Workshop in Big Data for Science for Researcher...Johann van Wyk
Presentation at NeDICC Meeting on 16 July 2014. Feedback from CODATA International Training Workshop in Big Data for Science for Researchers from Emerging and Developing Countries, Beijing, China, 5-20 June 2014
A talk at the Urban Science workshop at the Puget Sound Regional Council July 20 2014 organized by the Northwest Institute for Advanced Computing, a joint effort between Pacific Northwest National Labs and the University of Washington.
Open licensing and academic research - 9th april 2014 Vivien Rolfe
Open education and open licensing, and recent changes to UK research policy: Open Access for the next REF, funding body requirements for Open Data, and Open Lab Notebooks.
An introduction to open science, why it's important and how to do it. This presentation was given at the European Medical Students Association (EMSA) event, 'Open Access in Action' in Berlin on 14th-15th September 2015
What Bioinformaticians Need to Know About Digital Publishing Beyond the PDFPhilip Bourne
Presented as part of the NCI CBIIT webinar series on October 30, 2013 https://wiki.nci.nih.gov/display/CBIITSpeakers/2013/10/22/October+30%3A+Philip+E.+Bourne%2C+What+Bioinformaticians+Need+to+Know+About+Digital+Publishing+Beyond+the+PDF
'What is the role of Open Access and Open Educational Resources within Distance Education?' Presentation by Jon Gregson (Institute for Development Studies, UK; CDE Visiting Fellow) during CDE seminar The Role of Open Access and OERs within Distance Education. Full details at www.cde.london.ac.uk.
Slides describing Force11 Work and background of several of the speakers, used for talks to University of Lethbridge, Carnegie Mellon and to Elsevier internally
Presented online as part of the NASM series in Advancing Drug Discovery see https://www.nationalacademies.org/event/40883_09-2023_advancing-drug-discovery-data-science-meets-drug-discovery
For a panel discussion at the Associate Research Libraries Spring meeting April 27, 2022, Montreal https://www.arl.org/schedule-for-spring-2022-association-meeting/
Frontiers of Computing at the Cellular and Molecular ScalesPhilip Bourne
3 basic points when establishing a new biomedical initiative. Presented at Frontiers of Computing in Health and Society, George Mason University, September 21, 2021.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
7. It Starts with the Metrics of
Success
[Adapted from Carole Goble]
WikiSym+OpenSym Aug 7, 2013 7
8. Committee on Academic
Promotions
• What Counts
– Money
– Grants
– Papers
– Teaching
– Service
• What Does Not
– Sharing data
– Sharing software
– Open access
– Collaboration
– Patents
– Startups
WikiSym+OpenSym Aug 7, 2013 8
Getting Ahead as a Computational Biologist in Academia PLOS Comp Biol
9. The Era of Open Has The
Potential to Deinstitutionalize
WikiSym+OpenSym Aug 7, 2013 9
Daniel Hulshizer/Associated Press
10. Interim Solution:
Use the Traditional Reward System
The Wikipedia Experiment – Topic Pages
Identify areas of Wikipedia that
relate to the journal that are
missing of stubs
Develop a Wikipedia page in the
sandbox
Have a Topic Page Editor Review
the page
Publish the copy of record with
associated rewards
Release the living version into
Wikipedia
WikiSym+OpenSym Aug 7, 2013 10
14. Business Models Rule
• The Internet demanded new business models to
support scholarly communication
• Open access was one such sustainable model:
– Began with the community
– Was driven by new organizations (PLOS, BMC,
F1000, eLife, Dryad, Mendeley etc.)
– Was NOT driven by academic institutions
– Was driven by policies and funders
WikiSym+OpenSym Aug 7, 2013 14
15. One Metric of Change:
Multidisciplinary Open Access
Mega Journal
• This year PLOS ONE
will publish over
30,000 papers!
WikiSym+OpenSym Aug 7, 2013 15
16. This Disruption Got Us
Thinking About…
• A paper as only one form of knowledge
discovery
• The use of interaction and rich media from
which to learn and actually do science
• Reproducibility
• Reward structures
• Better management of the research lifecycle
P.E. Bourne 2005 In the Future will a Biological Database Really be Different
from a Biological Journal? PLOS Comp. Biol. 1(3) e34
WikiSym+OpenSym Aug 7, 2013 16
17. This Disruption Got Us
Thinking About…
• A paper as only one form of knowledge
discovery
• The use of interaction and rich media from
which to learn and actually do science
• Reproducibility
• Reward structures
• Better management of the research lifecycle
P.E. Bourne 2005 In the Future will a Biological Database Really be Different
from a Biological Journal? PLOS Comp. Biol. 1(3) e34
WikiSym+OpenSym Aug 7, 2013 17
18. Better Management of the
Research Lifecycle is Not a
New Concept
WikiSym+OpenSym Aug 7, 2013 18
19. “An article about
computational science in a
scientific publication is not the
scholarship itself, it is merely
advertising of the scholarship.
The actual scholarship is the
complete software
development environment,
[the complete data] and the
complete set of instructions
which generated the figures.”
David Donoho, “Wavelab and
Reproducible Research,” 1995
datasets
data collections
algorithms
configurations
tools and apps
codes
workflows
scripts
code libraries
services,
system software
infrastructure,
compilers
hardware
Morin et al Shining Light into Black Boxes
Science 13 April 2012: 336(6078) 159-160
Ince et al The case for open computer
programs, Nature 482, 2012
[Carole Goble]
20. The Research Lifecycle
IDEAS – HYPOTHESES – EXPERIMENTS – DATA - ANALYSIS - COMPREHENSION - DISSEMINATION
Authoring
Tools
Lab
Notebooks
Data
Capture
Software
Repositories
Analysis
Tools
Visualization
Scholarly
Communication
Commercial &
Public Tools
Git-like
Resources
By Discipline
Data Journals
Discipline-
Based Metadata
Standards
Community Portals
Institutional Repositories
New Reward
Systems
Commercial Repositories
Training
21. The Research Lifecycle
IDEAS – HYPOTHESES – EXPERIMENTS – DATA - ANALYSIS - COMPREHENSION - DISSEMINATION
Authoring
Tools
Lab
Notebooks
Data
Capture
Software
Repositories
Analysis
Tools
Visualization
Scholarly
Communication
Commercial &
Public Tools
Git-like
Resources
By Discipline
Data Journals
Discipline-
Based Metadata
Standards
Community Portals
Institutional Repositories
New Reward
Systems
Commercial Repositories
Training
22. automate: workflows, pipeline
& service integrative
frameworks
pool, share & collaborate
web systems
nanopub
semantics & ontologies
machine readable documentation
scientific software
engineering
CS
SE
Carole Goble]
23. Why is This Important to Me
Personally?
• My wife is being treated for stage 1 breast
cancer
• This highlights for me the disparity
between what is happening in the lab and
what is happening in the clinic
– In the lab cancer is a personalized and
treatable condition
– In the clinic we are still equally “poisoning”
patients with drugs first introduced 10-20
years ago WikiSym+OpenSym Aug 7, 2013 23
26. Most Laboratories
• We are the long tail
• Goodbye to the student is
goodbye to the data
• Very few of us have
complied (or will comply
with the data
management plans we
write into grants)
• Too much software is
unusable
S.Veretnik, J.L.Fink, and P.E. Bourne 2008 Computational Biology Resources Lack
Persistence and Usability. PLoS Comp. Biol. . 4(7): e1000136
WikiSym+OpenSym Aug 7, 2013 26
27. Today’s Research Lifecycle is
Digitally Fragmented at Best
• Proof:
– I cant immediately reproduce the research in
my own laboratory
• It took an estimated 280 hours for an average user
to approximately reproduce the paper
– Workflows are maturing and becoming helpful
– Data and software versions and accessibility
prevent exact reproducability
Daniel Garijo et al. 2013 Quantifying Reproducibility in Computational Biology:
The Case of the Tuberculosis Drugome PLOS ONE under review.
WikiSym+OpenSym Aug 7, 2013 27
28. At the Same Time The
Disruption Continues
WikiSym+OpenSym Aug 7, 2013 28
29. G8 open data charter
http://opensource.com/government/13/7/open-data-charter-g8
WikiSym+OpenSym Aug 7, 2013 29
30. • In the US alone..
– March 2012 OSTP
commits $200M to Big
Data
– OSTP demands
sharing plans by
August 2013
– GBMF/Sloan provide
institutional awards for
data science
– NCBI considers data
catalog and
MyBibliography
And the Disruption Continues
WikiSym+OpenSym Aug 7, 2013 30
31. Where Will It End?
First We Should Ask What It Is
We Wish to Accomplish
WikiSym+OpenSym Aug 7, 2013 31
32. 1. A link brings up figures
from the paper
0. Full text of PLoS papers stored
in a database
2. Clicking the paper figure retrieves
data from the PDB which is
analyzed
3. A composite view of
journal and database
content results
Here is What I Want – The Paper
As Experiment
1. User clicks on thumbnail
2. Metadata and a
webservices call provide
a renderable image that
can be annotated
3. Selecting a features
provides a
database/literature
mashup
4. That leads to new
papers
4. The composite view has
links to pertinent blocks
of literature text and back to the PDB
1.
2.
3.
4.
PLoS Comp. Biol. 2005 1(3) e34
32
33. Here is What I Want –
Knowledge Push
• Each evening the labs “Evernote”
notebooks are scanned for commonalities
from the days activities. These are seeds
in a deep search of the webs research
lifecycles that has become available since
last searched. Results are ranked and
presented for consideration over coffee
the next morning
http://www.discoveryinformaticsinitiative.org/diw2012
WikiSym+OpenSym Aug 7, 2013 33
34. Will End With …
• Infrastructure:
– Science, Nature, Cell and megajournals all
“open access”
– An array of coupled institutional repositories
– A central repository – PubMed Central
– Open software in full support of the research
lifecycle
– The research lifecycle in the cloud
WikiSym+OpenSym Aug 7, 2013 34
35. Will End With …
• Sociologically:
– An end to build it and they will come
– Alternative metrics accepted by the
community
– Alternative reward systems that recognize the
realities of today’s scholarship, namely:
• Open data availability
• Software availability
• Collaborative research
WikiSym+OpenSym Aug 7, 2013 35
36. We Have a Way to Go
Consider the Life Sciences
• Good News
– We have NCBI/EBI
– Publishers are starting
to embrace data
– Workflows in support
of the research
lifecycle are catching
on
• Bad News
– Sustainability remains
a noun not a verb
– Data are organized by
type not by questions
asked (silos)
– Tenure committees
are still in the dark
ages
WikiSym+OpenSym Aug 7, 2013 36
37. What Can We Do As a
Community?
WikiSym+OpenSym Aug 7, 2013 37
39. What I Have Learned About
Trust 1/2
• Trust is like compound interest
• Comes from listening
• Comes from engaging the community in
every aspect of the process
• Comes from data consistency and level of
annotation
• Comes from responsiveness
• Comes from the quality of the delivery
service 39WikiSym+OpenSym Aug 7, 2013
40. What I Have Learned About
Trust 2/2
• Quality begats trust
– Quality requires data models/ontologies
• Quality requires people
– Annotators are the unsung heroes
• Trust requires provenance & versioning
• Trust requires explaining that all data and
knowledge are not created equal
40WikiSym+OpenSym Aug 7, 2013
42. Think Globally Act Locally
• Support emergent community commons/portals
• Be involved in the support and development of
metadata standards
• Contribute to workflow development etc. to drive
an open research lifecycle
• Educate your mentors on the importance of
open science and scholarly communication
• Write software thinking of an App model
WikiSym+OpenSym Aug 7, 2013 42
43. Understand That All
Data/Knowledge Are NOT
Created Equal
• We need to understand
how data are used
• Sustainability is not
more money from the
funding agencies its
about business models
• Reductionism is not a
dirty word
• We need to do more
with the long tailOn the Future of Genomic Data
Science 11 February 2011:
vol. 331 no. 6018 728-729 WikiSym+OpenSym Aug 7, 2013
44. Recognize That Institutions
Must Play a Greater Role
• We need institutional data/knowledge
sharing plans
• We need data/information scientists to be
better recognized by institutions – its not
all about papers – this implies new metrics
44WikiSym+OpenSym Aug 7, 2013
45. Learn from the App Store
• The App model
– Think of it operating on a content base
rather than a mobile device
– Simple and consistent user interface
– Needs to pass some quality control
– Has a reward
• The App+ Model
– Apps interoperate through a generic
workflow interface
WikiSym+OpenSym Aug 7, 2013 45
46. In Summary
• Open science is a means to accelerate
the rate of discovery
• Disruption has begun, but there is great
inertia in the system
• All of us are stakeholders and capable of
invoking further positive change
• We need to get institutions and more
scientists involved….
WikiSym+OpenSym Aug 7, 2013 46