This document discusses issues around ownership and funding models for open scholarly infrastructure. It notes that many open infrastructure organizations are non-profit, open source, community-governed, and use open data. Factors that influence tool choice include whether it best solves users' problems. Openness can increase availability and interoperability if done right. Funding challenges include relying too heavily on a few large customers. The author proposes a journal subscription dashboard product and nonprofit funding model as an example of sustainable open infrastructure.
BioIT World 2016 - HPC Trends from the TrenchesChris Dagdigian
As presented at BioIT World 2016. In one of the more popular presentations of the Expo, Chris delivers a candid assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. He’ll cover what has changed (or not) in the past year around infrastructure, storage, computing, and networks. This presentation will help you understand IT to build and support data intensive science.
Video link from the presentation: biote.am/bs
[Note: email chris@bioteam.net if you would like a PDF copy of this presentation]
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...Chris Dagdigian
This is a talk I put together for a http://www.neren.org/ seminar called "Bridging the Gap: Research Facilitation". Tried to give a biotech/pharma view for a mostly academic audience.
Analytical Thinking is a fortnightly newsletter from the UK Business Analytics team.
The purpose of the newsletter is to raise awareness about why analytics is a hot topic at the moment, where is analytics being referenced in the press and in what ways are organisations using analytics.
Business Analytics (Operational Research) is part of the Digital Transformation team in Capgemini Consulting UK
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
BioIT World 2016 - HPC Trends from the TrenchesChris Dagdigian
As presented at BioIT World 2016. In one of the more popular presentations of the Expo, Chris delivers a candid assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. He’ll cover what has changed (or not) in the past year around infrastructure, storage, computing, and networks. This presentation will help you understand IT to build and support data intensive science.
Video link from the presentation: biote.am/bs
[Note: email chris@bioteam.net if you would like a PDF copy of this presentation]
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...Chris Dagdigian
This is a talk I put together for a http://www.neren.org/ seminar called "Bridging the Gap: Research Facilitation". Tried to give a biotech/pharma view for a mostly academic audience.
Analytical Thinking is a fortnightly newsletter from the UK Business Analytics team.
The purpose of the newsletter is to raise awareness about why analytics is a hot topic at the moment, where is analytics being referenced in the press and in what ways are organisations using analytics.
Business Analytics (Operational Research) is part of the Digital Transformation team in Capgemini Consulting UK
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
Bundledarrows160 bit.ly/teamcaptainsguild
Only 5 percent of entrepreneurship is the big idea, the business model, the whiteboard strategizing, and the splitting up of the spoils.
The other 95 percent is the gritty work that is measured by innovation accounting: product prioritization decisions, deciding which customers to target or listen to, and having the courage to subject a grand vision to constant testing and feedback.
Experience Probes for Exploring the Impact of Novel ProductsMike Kuniavsky
This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.
The hi:project: empowering you, empowering us, with a more human webThe hi:project
We pioneer the human interface, the successor to the user interface. We celebrate the human not the user, the individual not the worker, the person not the consumer, helping everyone contribute more value to and derive more value from society and the organizations in their lives.
La importancia de los datos para el mejor aprovechamiento de los conocimientos, es poder compartirlo con otros y maximizar el impacto de los descubrimientos.
Conozca más a trav
Being open, accessible, and understandable by Jonathan Challener, OECD - #ima...Jonathan Challener
With the recent introduction of Open Data APIs, namely SDMX-JSON, and other web services planned, the OECD is moving from a pure ‘browser centric’ architecture towards a more ‘web service oriented’ architecture, with powerful and scalable data delivery capabilities in machine-to-machine exchanges, enabling a much wider use of our data by third parties. This focus has, and will further enable more and more users to assemble content and data themselves, compare or integrate data, or collaborate with each other to produce new content.
This also allowed for and has led to a number of new and accessible data experiences, now targeting those who do not understand, or have the desire to understand, specialised formats of a statistical nature. This is where the real value will be found in being ‘open, accessible, and understandable”.
Presentation for an Acando seminar about social intranets explaining how the traditional corporate intranet will need to be transformed into a platform that provides the opportunity for wide participation by most or all employees in order to deal with the business challenges most organizations are facing.
Interested in learning how User Experience (UX) design can help you meet your goals? Join the UX designers of EMBL-EBI on Friday, 3 March at 11am in the Kendrew Lecture Theatre to hear about what they do and how they make data services better for researchers.
During this 45-minute seminar we will introduce you to UX design, show how it can be applied and demonstrate how it can make a positive difference. The seminar will be followed by a discussion and refreshments, so you can meet EMBL-EBI's UX designers in person and explore how you might benefit from UX design in your own work.
Speakers: Nikiforos Karamamis, Gabby Yordanova, Revathi Nathaniel & Michele Ide-Smith
Organisers & on-hand for questions: Jenny Cham & Joseph Rossetto
Looking beyond plain text for document representation in the enterpriseArjen de Vries
In many real life scenarios, searching for information is not the user's end goal. In this presentation I look into the specific example of corporate strategy and business development in a university setting.
In today's academic institutions, strategic questions are those that relate to dependency on funding instruments, the public private partnerships that exist (and those that should be extended!), and the match between topic areas addressed by the research staff and those claimed important by policy makers. The professional search tasks encountered to answer questions in this domain are usually addressed by business intelligence (BI) tools, and not by search engines. However, professionals are known to be busy people inspired by their own research interests, and not particularly fond of keeping the
customer relationship management (CRM) or knowledge management systems up to date for the organisation's strategic interest. This then results in incomplete and inaccurate data.
Instead of requiring research staff (or their administrative support) to provide this management information, I will illustrate by example how the desired information usually exists already in the documents inherent to the academic work process. Information retrieval could thus play an important role in the computer systems that support the business analytics involved, and could significantly improve the coverage of entities of interest - i.e., to reduce the effort involved in achieving good recall in business analytics. The ranking functionality over the enterprise's (textual) content should however not be an isolated component. Our example setting integrates the information derived from research proposals, research publications and the financial systems, providing an excellent motivation for a more unified approach to structured and unstructured data.
Big Data is big buzz at the present.
There's so much press, but so little clarity about what "big data" actually is (and what it can do for HR).
This presentation is an introduction to big data and data analytics. With no techno-babble, find out:
> What is big data?
> What do I really need to know?
> What can it do?
> How does it apply to Human Resources / HR?
> What are some examples of big data being used in the HR "space"?
> How will big data change HR in general?
Highly relevant for anyone involved in people management, human resources, organisational design and change management.
Many developers have blinders when considering their technologies. We tend to fade out the sometimes hard-to-learn skills and hurdles in dealing with the system, and sometimes look contemptuously at other technologies that repeat the same mistakes that our community has already made.
We rant about the hurdles we have with our own system, but forgets about the many smart elements that comes for free.
This presentation is meant to be a self-critical analysis of our "Plone" system and the community behind it, and to provide a discussion stimulus for the future of Plone.
Calculating how much your University spends on Open Access--and what to do ab...Heather Piwowar
#NASIG2020 presentation
Librarians are working hard to understand how much money their university is spending on open access article processing fees (APCs), and how much of what they subscribe to is available as OA. This information is useful when making subscription decisions, considering Read and Publish agreements, rethinking library open access budgets, and designing Institution-wide OA policies.
This session will talk concretely about how to calculate the impact of Open Access on *your* university. It will provide an overview on how to estimate the amount of money spent across a university on Open Access fees: we will discuss underlying concepts behind calculating OA article-processing fee (APC) spend and give an overview of useful data sources, including Unsub.
Follow at @unsub_org
Bundledarrows160 bit.ly/teamcaptainsguild
Only 5 percent of entrepreneurship is the big idea, the business model, the whiteboard strategizing, and the splitting up of the spoils.
The other 95 percent is the gritty work that is measured by innovation accounting: product prioritization decisions, deciding which customers to target or listen to, and having the courage to subject a grand vision to constant testing and feedback.
Experience Probes for Exploring the Impact of Novel ProductsMike Kuniavsky
This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.
The hi:project: empowering you, empowering us, with a more human webThe hi:project
We pioneer the human interface, the successor to the user interface. We celebrate the human not the user, the individual not the worker, the person not the consumer, helping everyone contribute more value to and derive more value from society and the organizations in their lives.
La importancia de los datos para el mejor aprovechamiento de los conocimientos, es poder compartirlo con otros y maximizar el impacto de los descubrimientos.
Conozca más a trav
Being open, accessible, and understandable by Jonathan Challener, OECD - #ima...Jonathan Challener
With the recent introduction of Open Data APIs, namely SDMX-JSON, and other web services planned, the OECD is moving from a pure ‘browser centric’ architecture towards a more ‘web service oriented’ architecture, with powerful and scalable data delivery capabilities in machine-to-machine exchanges, enabling a much wider use of our data by third parties. This focus has, and will further enable more and more users to assemble content and data themselves, compare or integrate data, or collaborate with each other to produce new content.
This also allowed for and has led to a number of new and accessible data experiences, now targeting those who do not understand, or have the desire to understand, specialised formats of a statistical nature. This is where the real value will be found in being ‘open, accessible, and understandable”.
Presentation for an Acando seminar about social intranets explaining how the traditional corporate intranet will need to be transformed into a platform that provides the opportunity for wide participation by most or all employees in order to deal with the business challenges most organizations are facing.
Interested in learning how User Experience (UX) design can help you meet your goals? Join the UX designers of EMBL-EBI on Friday, 3 March at 11am in the Kendrew Lecture Theatre to hear about what they do and how they make data services better for researchers.
During this 45-minute seminar we will introduce you to UX design, show how it can be applied and demonstrate how it can make a positive difference. The seminar will be followed by a discussion and refreshments, so you can meet EMBL-EBI's UX designers in person and explore how you might benefit from UX design in your own work.
Speakers: Nikiforos Karamamis, Gabby Yordanova, Revathi Nathaniel & Michele Ide-Smith
Organisers & on-hand for questions: Jenny Cham & Joseph Rossetto
Looking beyond plain text for document representation in the enterpriseArjen de Vries
In many real life scenarios, searching for information is not the user's end goal. In this presentation I look into the specific example of corporate strategy and business development in a university setting.
In today's academic institutions, strategic questions are those that relate to dependency on funding instruments, the public private partnerships that exist (and those that should be extended!), and the match between topic areas addressed by the research staff and those claimed important by policy makers. The professional search tasks encountered to answer questions in this domain are usually addressed by business intelligence (BI) tools, and not by search engines. However, professionals are known to be busy people inspired by their own research interests, and not particularly fond of keeping the
customer relationship management (CRM) or knowledge management systems up to date for the organisation's strategic interest. This then results in incomplete and inaccurate data.
Instead of requiring research staff (or their administrative support) to provide this management information, I will illustrate by example how the desired information usually exists already in the documents inherent to the academic work process. Information retrieval could thus play an important role in the computer systems that support the business analytics involved, and could significantly improve the coverage of entities of interest - i.e., to reduce the effort involved in achieving good recall in business analytics. The ranking functionality over the enterprise's (textual) content should however not be an isolated component. Our example setting integrates the information derived from research proposals, research publications and the financial systems, providing an excellent motivation for a more unified approach to structured and unstructured data.
Big Data is big buzz at the present.
There's so much press, but so little clarity about what "big data" actually is (and what it can do for HR).
This presentation is an introduction to big data and data analytics. With no techno-babble, find out:
> What is big data?
> What do I really need to know?
> What can it do?
> How does it apply to Human Resources / HR?
> What are some examples of big data being used in the HR "space"?
> How will big data change HR in general?
Highly relevant for anyone involved in people management, human resources, organisational design and change management.
Many developers have blinders when considering their technologies. We tend to fade out the sometimes hard-to-learn skills and hurdles in dealing with the system, and sometimes look contemptuously at other technologies that repeat the same mistakes that our community has already made.
We rant about the hurdles we have with our own system, but forgets about the many smart elements that comes for free.
This presentation is meant to be a self-critical analysis of our "Plone" system and the community behind it, and to provide a discussion stimulus for the future of Plone.
Similar to The time has come to talk of... who should own scholarly infrastructure? (20)
Calculating how much your University spends on Open Access--and what to do ab...Heather Piwowar
#NASIG2020 presentation
Librarians are working hard to understand how much money their university is spending on open access article processing fees (APCs), and how much of what they subscribe to is available as OA. This information is useful when making subscription decisions, considering Read and Publish agreements, rethinking library open access budgets, and designing Institution-wide OA policies.
This session will talk concretely about how to calculate the impact of Open Access on *your* university. It will provide an overview on how to estimate the amount of money spent across a university on Open Access fees: we will discuss underlying concepts behind calculating OA article-processing fee (APC) spend and give an overview of useful data sources, including Unsub.
Follow at @unsub_org
How to Calculate OA APC Spend for Your UniversityHeather Piwowar
Universities are hungry to know how much they spend on Open Access fees. This data is important to planning transformative and read and publish agreements, forming library strategy, and understanding scholarly communication on your campus. Unfortunately, it hasn’t been easy to calculate how much your university is spending on Open Access.
Learn how recent developments in data sources and tools have made this easier during this webinar. We will discuss the underlying concepts behind calculating OA article-processing fee (APC) spend, and provide you with paths to calculate the Open Access fees paid by your institution. ALCTS webinar.
Intro to Managing Serials with Net Cost per Paid UseHeather Piwowar
This webinar will introduce a new metric for evaluating the cost effectiveness of Serials: Net Cost Per Paid Use (NCPPU). NCPPU goes beyond the standard Cost Per Use calculation to exclude free content (OA and back catalog), incorporate ILL costs, and value citation and authorship. ALCTS webinar.
submission summary for #WSSSPE Policy session on Credit, Citation, and ImpactHeather Piwowar
submission summary for #WSSSPE Policy session on Credit, Citation, and Impact
presentation by Heather Piwowar
November 2013
agenda: http://wssspe.researchcomputing.org.uk/
AAAS 2012: Data about the costs and benefits of Open Research DAtaHeather Piwowar
Heather Piwowar's talk at AAAS 2012 session on Accelerating Scientific Progress Through Public Availability of Research Data http://aaas.confex.com/aaas/2012/webprogram/Session4117.html
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.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
10. What is it that makes people
choose a tool built as open
infrastructure?
11. - zenodo vs mendeley
- unpaywall vs google scholar or kopernio
- stata or spss or s+ vs r
- matlab vs r or python
- plos one vs scientific reports
- dspace vs figshare
- web of science or scopus
vs dimensions
vs lens or mag
13. Is it the solution that
best solves my problem?
14. What kinds of open make a
difference in scholarly
communication infrastructure?
15. Open helps to the extent it
increases Availability:
affordable, interoperable, better
16. DSpace: configurable
Zotero and R: community support, growing toolset
Open access NLP/AI: more fulltext
Unpaywall: data available for link resolvers
17. Is it the solution that
best solves my problem?
18. In some ways disheartening.
But in other ways: good.
Focus on solving problems not
otherwise solved.
26. Unpaywall is currently used by:
Web of Science
Scopus
Europe PMC
Dimensions
Lens
OCLC
ProQuest
Ebsco
Kopernio
Open Access Button
CORE
OpenAIRE
BASE
The Internet Archive
The British Library Allinthelast2years!
27. As well as the following reports:
- EU Open Science Monitor
- State of OA paper (Piwowar 2018)
- Leiden university rankings
- recent Nature News take on OA by country
and more...
28. - link resolver integration
- open API
https://api.unpaywall.org/v2/10.234/abc?email=me
- redirection url
https://unpaywall.org/10.234/abc
- CSV download (5k DOIs)
- full data dump every 6 months (100million DOIs)
- extension for Chrome and Firefox (200k+ users)
38. Going to tell you about it, because it
is relevant in three ways:
- example of open infrastructure
- free up money
- insight into biz model challenges
42. Net Cost
not just subscriptions, look at the
difference between what you pay for
subscription and what you’d pay for
ILL
43. Paid
Don’t pay for free. Only include
uses you can’t get from open access
or your backfile.
44. Use
Not just downloads -- include
weighted citations and authorships
from your institution, to better
capture the value of the title to your
university
52. We think it’ll help you see where you can
save money on subscriptions, helping
you regain control of your budget.
This will help you invest in open, if you
want.
53. We hope you want. Not just to
Unpaywall, but to vendors you think are
going to do right with:
- your data
- your money
- best interests of scholarly literature
54. Gathering place for people interested in
open infrastructure in scholarly
communication?
How about a Google Group?
Sign up after talk.
55. thanks!
Thanks to conversations to the open science community, and
those who release their articles, datasets, and photos openly.
Unpaywall Journals: journals.unpaywall.org
@unpaywall
