There are high expectations for Linked Government Data—the practice of publishing public sector information on the Web using Linked Data formats. This slideset reviews some of the ongoing work in the US, UK, and within W3C, as well as activities within my institute (DERI, National University of Ireland, Galway).
The fourth paradigm: data intensive scientific discovery - Jisc Digifest 2016Jisc
There is broad recognition within the scientific community that the emerging data deluge will fundamentally alter disciplines in areas throughout academic research. A wide variety of researchers - from scientists and engineers to social scientists and humanities researchers - will require tools, technologies, and platforms that seamlessly integrate into standard scientific methodologies and processes.
'The fourth paradigm' refers to the data management techniques and the computational systems needed to manipulate, visualize, and manage large amounts of research data. This talk will illustrate the challenges researchers will face, the opportunities these changes will afford, and the resulting implications for data-intensive researchers.
In addition, the talk will review the global movement towards open access, research repositories and open science and the importance of curation of digital data. The talk concludes with some comments on the research requirements for campus e-infrastructure and the end-to-end performance of the network.
Presentation for NEC Lab Europe.
Knowledge graphs are increasingly built using complex multifaceted machine learning-based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. I present work on combining knowledge graph construction (e.g. information extraction) and refinement (e.g. link prediction) in end to end systems. In particular, I will discuss recent work on using inductive representations for link predication. I then discuss the challenges of ongoing system maintenance, knowledge graph quality and traceability.
There are high expectations for Linked Government Data—the practice of publishing public sector information on the Web using Linked Data formats. This slideset reviews some of the ongoing work in the US, UK, and within W3C, as well as activities within my institute (DERI, National University of Ireland, Galway).
The fourth paradigm: data intensive scientific discovery - Jisc Digifest 2016Jisc
There is broad recognition within the scientific community that the emerging data deluge will fundamentally alter disciplines in areas throughout academic research. A wide variety of researchers - from scientists and engineers to social scientists and humanities researchers - will require tools, technologies, and platforms that seamlessly integrate into standard scientific methodologies and processes.
'The fourth paradigm' refers to the data management techniques and the computational systems needed to manipulate, visualize, and manage large amounts of research data. This talk will illustrate the challenges researchers will face, the opportunities these changes will afford, and the resulting implications for data-intensive researchers.
In addition, the talk will review the global movement towards open access, research repositories and open science and the importance of curation of digital data. The talk concludes with some comments on the research requirements for campus e-infrastructure and the end-to-end performance of the network.
Presentation for NEC Lab Europe.
Knowledge graphs are increasingly built using complex multifaceted machine learning-based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. I present work on combining knowledge graph construction (e.g. information extraction) and refinement (e.g. link prediction) in end to end systems. In particular, I will discuss recent work on using inductive representations for link predication. I then discuss the challenges of ongoing system maintenance, knowledge graph quality and traceability.
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
The term 'Data Science' was first described in scientific literature about 15 years ago. It started to become a major trend in industry about 7 years ago.
O'Reilly Media surveys the industry extensively each year. In addition we get a good birds-eye view of industry trends through our conference programs and publications, working closely with some of the best practitioners in Data Science.
By now, the field has evolved far beyond its origins eclipsing an earlier generation of Business Intelligence and Data Warehousing approaches. Data Science is moving up, into the business verticals and government spheres of influence where it has true global impact.
This talk considers Data Science trends from the past three years in particular. What is emerging? Which parts are evolving? Which seem cluttered and poised for consolidation or other change?
Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-2.html
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
A open science presentation focusing on the benefits to be gained and basic practices to follow. This was given on behalf of FOSTER at the Open Science Boos(t)camp event at KU Leuven on 24th October 2014.
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...GigaScience, BGI Hong Kong
Scot Edmunds talk at CODATA2019 on Quantifying how FAIR is Hong Kong: The Hong Kong Shareability of Hong Kong University Research Experiment. 19th September 2019 in Beijing
The need for a transparent data supply chainPaul Groth
Illustrating data supply chains and motivating the need for a more transparent data supply chain in the context of responsible data science. Presented at the 2018 KNAW-Royal Society bilateral meeting on responsible data science.
Data Communities - reusable data in and outside your organization.Paul Groth
Description
Data is a critical both to facilitate an organization and as a product. How can you make that data more usable for both internal and external stakeholders? There are a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data (re)use. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data. I put this in the context of the notion data communities that organizations can use to help foster the use of data both within your organization and externally.
RDAP13 Lorrie Johnson: Facilitating Access to Scientific DataASIS&T
Lorrie Johnson, U.S. Department of Energy/Office of Science and Technical Information: “Facilitating Access to Scientific Data: The DataCite, Science.gov, and WorldWideScience.org Initiatives”
Panel: Linked data and metadata (co-sponsored by the ASIS&T Digital Libraries SIG)
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
The literature contains a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data reuse. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data.
In this fifth session of the Elements of AI Luxembourg series of webinars, our guest speaker and co-organizer Prof. Martin Theobald talks about Current Topics and Trends in Big Data Analytics. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
The term 'Data Science' was first described in scientific literature about 15 years ago. It started to become a major trend in industry about 7 years ago.
O'Reilly Media surveys the industry extensively each year. In addition we get a good birds-eye view of industry trends through our conference programs and publications, working closely with some of the best practitioners in Data Science.
By now, the field has evolved far beyond its origins eclipsing an earlier generation of Business Intelligence and Data Warehousing approaches. Data Science is moving up, into the business verticals and government spheres of influence where it has true global impact.
This talk considers Data Science trends from the past three years in particular. What is emerging? Which parts are evolving? Which seem cluttered and poised for consolidation or other change?
Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-2.html
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
A open science presentation focusing on the benefits to be gained and basic practices to follow. This was given on behalf of FOSTER at the Open Science Boos(t)camp event at KU Leuven on 24th October 2014.
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...GigaScience, BGI Hong Kong
Scot Edmunds talk at CODATA2019 on Quantifying how FAIR is Hong Kong: The Hong Kong Shareability of Hong Kong University Research Experiment. 19th September 2019 in Beijing
The need for a transparent data supply chainPaul Groth
Illustrating data supply chains and motivating the need for a more transparent data supply chain in the context of responsible data science. Presented at the 2018 KNAW-Royal Society bilateral meeting on responsible data science.
Data Communities - reusable data in and outside your organization.Paul Groth
Description
Data is a critical both to facilitate an organization and as a product. How can you make that data more usable for both internal and external stakeholders? There are a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data (re)use. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data. I put this in the context of the notion data communities that organizations can use to help foster the use of data both within your organization and externally.
RDAP13 Lorrie Johnson: Facilitating Access to Scientific DataASIS&T
Lorrie Johnson, U.S. Department of Energy/Office of Science and Technical Information: “Facilitating Access to Scientific Data: The DataCite, Science.gov, and WorldWideScience.org Initiatives”
Panel: Linked data and metadata (co-sponsored by the ASIS&T Digital Libraries SIG)
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
The literature contains a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data reuse. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data.
In this fifth session of the Elements of AI Luxembourg series of webinars, our guest speaker and co-organizer Prof. Martin Theobald talks about Current Topics and Trends in Big Data Analytics. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
The 4th paradigm of research is manifest in the rising popularity of data science. Data science developments relevant to human genetics are discussed with particular reference to cloud computing and data accessibility.
American Society for Human Genetics, October 16, 2018, San Diego
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering science data, medical data and ethics, and the FAIR data principles.
This is an update on the status of federal requirements for data sharing in 2015. These slides were presented at ACRL in Portland in March 2015, by Linda Detterman and Jared Lyle of ICPSR, based at the University of Michigan. The session includes overviews of federal requirements, data curation, data management plans, data sharing services, and lots of fun!
NIH Data Policy or: How I Learned to Stop Worrying and Love the Data Manageme...Kristin Briney
This talk provides background information on the NIH policy, what it is and how it came to be. It then goes through how to create a data sharing plan on your own and using the DMPTool. The talk wraps up with my top 5 recommendations for data management for those who have never done data management before.
Lesson 2 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Big Data HPC Convergence and a bunch of other thingsGeoffrey Fox
This talk supports the Ph.D. in Computational & Data Enabled Science & Engineering at Jackson State University. It describes related educational activities at Indiana University, the Big Data phenomena, jobs and HPC and Big Data computations. It then describes how HPC and Big Data can be converged into a single theme.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
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.
NITRD Big Data Interagency Working Group Workshop: Pioneering the Future of Federally Supported Data Repositories Jan 13, 2021 - Opening comments on where we are and one suggestion of where we might go with an International Data Science Institute (IDSI) - A blue sky view.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
1. How Does Data Science Impact
the Semantic Web?
Philip E. Bourne PhD, FACMI
Stephenson Chair of Data Science
Director, Data Science Institute
Professor of Biomedical Engineering
peb6a@virginia.edu
https://www.slideshare.net/pebourne
12/04/18 SWAT4HCLS 1
@pebourne
2. Disclaimer – A Broad But Shallow Discussion
• Not really sure what the semantic web is anymore
• At this point I cant give you a technical perspective
• Deeply engaged in preparing one academic institution for
a very different data driven future
12/04/18 SWAT4HCLS 2
4. save__atom_site.Cartn_x
_item_description.description
; The x atom site coordinate in angstroms specified according to
a set of orthogonal Cartesian axes related to the cell axes as
specified by the description given in
_atom_sites.Cartn_transform_axes.
;
_item.name '_atom_site.Cartn_x'
_item.category_id atom_site
_item.mandatory_code no
_item_aliases.alias_name '_atom_site_Cartn_x'
_item_aliases.dictionary cifdic.c94
_item_aliases.version 2.0
loop_
_item_dependent.dependent_name
'_atom_site.Cartn_y'
'_atom_site.Cartn_z'
_item_related.related_name '_atom_site.Cartn_x_esd'
_item_related.function_code associated_esd
_item_sub_category.id cartesian_coordinate
_item_type.code float
_item_type_conditions.code esd
_item_units.code angstroms
mmCIF - Extract from the Dictionary
Bourne et al. 1997 Meth. Enz. 277 571-590
12/04/18 SWAT4HCLS 4
5. Lessons Learned a Long Time Ago
• Science is what happens when you are writing formal
definitions
• Define the intended audience and focus on catering to them
• Keep it simple
• Backup that simplicity with software
• It can take many years for the effort to pay off
12/04/18 SWAT4HCLS 5
7. RCSB Protein Data Bank 1999-2014
Gu & Bourne (Ed) 2009
12/04/18 SWAT4HCLS 7
8. With that backdrop lets return to our original
question ….
How Does Data Science Impact the Semantic Web?
12/04/18 SWAT4HCLS 8
9. How Does Data Science Impact the Semantic
Web….
The short answer {in my opinion} is profoundly …
by virtue that data science is poised to impact
everything
12/04/18 SWAT4HCLS 9
13. To build on this notion we need working definition
of data science …
It is the unexpected re-use of information which is
the value added by the web
Tim Berners-Lee
12/04/18 SWAT4HCLS 13
https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/#116a5a2d55cf
14. To build on this notion we need working definition
of data science …
It is the unexpected re-use of information which is
the value added by the web and subsequent
analysis of that information for societal benefit
Tim Berners-Lee
12/04/18 SWAT4HCLS 14
https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/#116a5a2d55cf
15. To date, data science is too frequently the
unexpected reuse of information without the
{semantic} web!
Witness the tale of the trauma surgeon …
12/04/18 SWAT4HCLS 15
16. Data science is
like the Internet…
If I asked you to
define it you
would all say
something
different, yet you
use it every day…
12/04/18 SWAT4HCLS 16
http://vadlo.com/cartoons.php?id=357
17. So What Do I Mean by Data Science?
• Use of the ever increasing amount of open, complex, diverse
digital data
• Finding ways to ask and then answer relevant questions by
combining such diverse data sets
• Arriving at statistically significant conclusions not otherwise
obtainable
• Sharing such findings in a useful way
• Translating such findings into actions that improve the human
condition
12/04/18 SWAT4HCLS 17
19. Why Now?
Machine learning has been around for over 20 years
• Amount of data available for training
• Open source - R and python
• Advances in computing (e.g., GPU’s) allow for deeper neural nets (deep
learning)
• Algorithmic efficiency gains (e.g., in back propagation)
• Success promotes further research
• Commercialization
12/04/18 SWAT4HCLS 19
Pastur-Romay et al. 2016 doi:10.3390/ijms17081313
20. Why Now? – Cost vs Use
{Apologies} A US Centric View
• Big Data
– Total data from NIH-funded research in 2016 estimated at 650 PB*
– 20 PB of that is in NCBI/NLM (3%) and it is expected to grow by 10
PB in 2016
• Dark Data
– Only 12% of data described in published papers is in recognized
archives – 88% is dark data^
• Cost
– 2007-2014: NIH spent ~$1.2Bn extramurally on maintaining data
archives * In 2012 Library of Congress was 3 PB
^ http://www.ncbi.nlm.nih.gov/pubmed/26207759
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21. Why Now? – Training
{More Apologies}
12/04/18 SWAT4HCLS 21
22. But here is the thing…
None of our current training programs, notably a
MS in Data Science, cover the semantic web per se
12/04/18 SWAT4HCLS 22
23. The Pillars of Data Science
23
Application Domains
12/04/18 SWAT4HCLS
24. Lets briefly focus on those five pillars
in the context of one area of
biomedical informatics – structural
bioinformatics
What kinds of interchange should be
taking place between this field and
data science?
12/04/18 SWAT4HCLS 24
Mura et al. 2018 Curr Opin Struct Biol. 52:95-102
25. Data Acquisition
• Persistence of raw data not clear
• Some level of consistency across instrument manufacturers
• Lessons in community/society drive
12/04/18 SWAT4HCLS 25
Mura et al. 2018 Curr Opin Struct Biol. 52:95-102
26. Data Integration and Engineering
• URI’s no - stooped in tradition
• Ontologies – somewhat
• Linked data - somewhat
2612/04/18 SWAT4HCLS
Years of experience to convey
29. Ethics, Law & Policy –
Data Sharing for Reuse
12/04/18 SWAT4HCLS 29
• Landmark studies identify
histone mutations as
recurrent driver mutations in
DIPG ~2012
• Almost 3 years later, in
largely the same datasets,
but partially expanded, the
same two groups and 2
others identify ACVR1
mutations as a secondary,
co-occurring mutation
From Adam Resnick
Diffuse Intrinsic Pontine Glioma (DIDG)
30. Ethics, Law & Policy –
Community Driven Data Sharing
12/04/18 SWAT4HCLS 30
31. Where Do We Go From Here As Data Scientists?
12/04/18 SWAT4HCLS 31
• Get on board with developments in schema.org, knowledge
graphs, etc… as part of the rule rather than the exception
• Provide metadata and opinion for data we produce or use
32. Where Do You Go From Here?
• Follow the fourth paradigm - The data driven economy writ
large will drive more interest in structured data
• There is the opportunity to contribute but also the opportunity
to gain from a broader spectrum of FAIR data of different types
• Be patient…
12/04/18 SWAT4HCLS 32
34. Acknowledgements
12/04/18 SWAT4HCLS 34
The BD2K Team at NIH
The 150 folks who have passed through my laboratory
https://docs.google.com/spreadsheets/d/1QZ48UaKcwDl_iFCvBmJsT03FK-bMchdfuIHe9Oxc-rw/edit#gid=0