Figshare is an open data repository that allows researchers to publish all of their research data online for public access within minutes. This speeds up the publishing process compared to traditional journals, which can take years and only share a small portion of the data. Figshare aims to improve collaboration and reproducibility of research by making all data citable and discoverable. It has over 1.5 million public research articles and is used by many universities worldwide to help students and researchers more easily access and share data.
ICG-11 - genomic data projects around the world - nov 5 2016Fiona Nielsen
How to find data for your research
Presented by Fiona Nielsen at the International Conference of Genomics 2016 www.icg-11.org in the session Data Sharing and Analysis chaired by Laurie Goodman, editor-in-chief, GigaScience
From bioinformatics scientist to entrepreneur - Women in Omics - ICG11 - 2016Fiona Nielsen
Presented by Fiona Nielsen at the International Conference of Genomics at China National Genebank, Shenzhen http://www.icg-11.org
I present the "WHY" of what I am doing, and how I got here. A personal story of frustration, science and family.
Session chaired by Laurie Goodman, Gigascience
From Bioinformatics Scientist to EntrepreneurFiona Nielsen
A 15min presentation at the University of Southern Denmark (SDU) Alumni career event on May 28th, 2016.
Thanks to Jørgen Bang Nielsen and IMADA for organising.
Read more:
- SDU http://www.sdu.dk
- Institute for mathematics and computer science (IMADA): http://imada.sdu.dk
- DNAdigest http://DNAdigest.org
- Repositive http://repositive.io
Data Driven Societies
Digital & Computational Studies
Bowdoin College
February 17, 2014
Professors Gieseking & Gaze
Lecture Slides "On Digital Publics of Opening…or Not"
ICG-11 - genomic data projects around the world - nov 5 2016Fiona Nielsen
How to find data for your research
Presented by Fiona Nielsen at the International Conference of Genomics 2016 www.icg-11.org in the session Data Sharing and Analysis chaired by Laurie Goodman, editor-in-chief, GigaScience
From bioinformatics scientist to entrepreneur - Women in Omics - ICG11 - 2016Fiona Nielsen
Presented by Fiona Nielsen at the International Conference of Genomics at China National Genebank, Shenzhen http://www.icg-11.org
I present the "WHY" of what I am doing, and how I got here. A personal story of frustration, science and family.
Session chaired by Laurie Goodman, Gigascience
From Bioinformatics Scientist to EntrepreneurFiona Nielsen
A 15min presentation at the University of Southern Denmark (SDU) Alumni career event on May 28th, 2016.
Thanks to Jørgen Bang Nielsen and IMADA for organising.
Read more:
- SDU http://www.sdu.dk
- Institute for mathematics and computer science (IMADA): http://imada.sdu.dk
- DNAdigest http://DNAdigest.org
- Repositive http://repositive.io
Data Driven Societies
Digital & Computational Studies
Bowdoin College
February 17, 2014
Professors Gieseking & Gaze
Lecture Slides "On Digital Publics of Opening…or Not"
Digital Tools, Trends and Methodologies in the Humanities and Social SciencesShawn Day
This interactive seminar will explore trends and initiatives in the digital community of practice in the humanities and the social sciences. Participants will come away with a appreciation of from where the field has emerged and how it interacts with traditional disciplines. This seminar will be of interest to those in traditional disciplines as well as the wider academy as digital humanities is both collaborative and multidisciplinary in practise. It is intended to form a broad and easy introduction to the practise of digital humanities and will appeal especially to new scholar who is open to the potential to combine their traditional scholarship with digital tools and methodologies. It is *introductory* in nature.
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuousIntegration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of contentmining (TDM)
What is ‘research impact’ in an interconnected world?Danny Kingsley
This talk looks at what researchers need to do to ensure their research is widely disseminated and reaches the largest audience possible. In summary: Publishing a paper is the beginning not the end; Making work open access does not mean it is accessible; Writing in plain language is translating, not dumbing it down; Sharing work involves peer networks and publishing platforms and If you don't take control of your online presence someone/something else will. The presentation was originally given as part of the Cambridge University Alumni Festival on 27 September 2015.
Published on Jan 29, 2016 by PMR
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuous Integration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of content mining (TDM)
The Culture of Research Data, by Peter Murray-RustLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Peter Murray-Rust, ContentMine.org and University of Cambridge
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
Scott Edmunds slides from class 7 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering open data policy and practice, and the Hong Kong context.
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
OSFair2017 | Barriers to Open Science for junior researchersOpen Science Fair
Jon Tennant talks about barriers to open science for junior researchers
Plenary: Open for all? Diversity & disparity in Open Science.
Presentation Abstract:
What are the barriers to Open Science, and how do they impact upon different demographics? Open Science is supposed to be about inclusivity, equality, and rigour. But is the way it is implemented meeting these ideals, or simply creating a new set of barriers to scholarship? Younger researchers are basically trying to survive within a hyper-competitive academic system. They are beset on all sides by systemic control and inertia, power dynamics, and fear. What they want to do for science is not always what is best for their career. This creates a system of social barriers that cannot be overcome by mandates and policies that do little to address these structural biases.
Paywalls inflict a huge level of disparity on younger researchers. They may feel they cannot afford the exorbitant fees charged by some publishers for Open Access, even if their research funders provide support for it. The way OA is currently implemented has switched the barrier from the reader side to the author side, due in part to political broadsiding from commercial publishers. Unfunded or self-funded grad students, as well as those from emerging economies, are basically doomed when it comes to such high author-facing charges.
More: http://opensciencefair.eu/speakers/jon-tennant
DAY 2 - PLENARY
How open data contribute to improving the world. The life science use case. The technical, social, ethical issues.
This was a talk given within the iGEM 2020 programme by the London Imperial College students group (https://2020.igem.org/Team:Imperial_College), in a webinar organised by the SOAPLab group on the topic of Ethics of Automation. Excellent Dr Brandon Sepulvado was the other speaker of the day.
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
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Digital Tools, Trends and Methodologies in the Humanities and Social SciencesShawn Day
This interactive seminar will explore trends and initiatives in the digital community of practice in the humanities and the social sciences. Participants will come away with a appreciation of from where the field has emerged and how it interacts with traditional disciplines. This seminar will be of interest to those in traditional disciplines as well as the wider academy as digital humanities is both collaborative and multidisciplinary in practise. It is intended to form a broad and easy introduction to the practise of digital humanities and will appeal especially to new scholar who is open to the potential to combine their traditional scholarship with digital tools and methodologies. It is *introductory* in nature.
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuousIntegration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of contentmining (TDM)
What is ‘research impact’ in an interconnected world?Danny Kingsley
This talk looks at what researchers need to do to ensure their research is widely disseminated and reaches the largest audience possible. In summary: Publishing a paper is the beginning not the end; Making work open access does not mean it is accessible; Writing in plain language is translating, not dumbing it down; Sharing work involves peer networks and publishing platforms and If you don't take control of your online presence someone/something else will. The presentation was originally given as part of the Cambridge University Alumni Festival on 27 September 2015.
Published on Jan 29, 2016 by PMR
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuous Integration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of content mining (TDM)
The Culture of Research Data, by Peter Murray-RustLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Peter Murray-Rust, ContentMine.org and University of Cambridge
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
Scott Edmunds slides from class 7 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering open data policy and practice, and the Hong Kong context.
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
OSFair2017 | Barriers to Open Science for junior researchersOpen Science Fair
Jon Tennant talks about barriers to open science for junior researchers
Plenary: Open for all? Diversity & disparity in Open Science.
Presentation Abstract:
What are the barriers to Open Science, and how do they impact upon different demographics? Open Science is supposed to be about inclusivity, equality, and rigour. But is the way it is implemented meeting these ideals, or simply creating a new set of barriers to scholarship? Younger researchers are basically trying to survive within a hyper-competitive academic system. They are beset on all sides by systemic control and inertia, power dynamics, and fear. What they want to do for science is not always what is best for their career. This creates a system of social barriers that cannot be overcome by mandates and policies that do little to address these structural biases.
Paywalls inflict a huge level of disparity on younger researchers. They may feel they cannot afford the exorbitant fees charged by some publishers for Open Access, even if their research funders provide support for it. The way OA is currently implemented has switched the barrier from the reader side to the author side, due in part to political broadsiding from commercial publishers. Unfunded or self-funded grad students, as well as those from emerging economies, are basically doomed when it comes to such high author-facing charges.
More: http://opensciencefair.eu/speakers/jon-tennant
DAY 2 - PLENARY
How open data contribute to improving the world. The life science use case. The technical, social, ethical issues.
This was a talk given within the iGEM 2020 programme by the London Imperial College students group (https://2020.igem.org/Team:Imperial_College), in a webinar organised by the SOAPLab group on the topic of Ethics of Automation. Excellent Dr Brandon Sepulvado was the other speaker of the day.
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
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
5. ● write the paper for your research data
● pay money to submit the paper to a journal
● go through 6 months - 2 years of peer
reviews and numerous rewrites
● the published article will usually contain
less than 10% of the research data
8. Can you see the
problem here?
● it takes close to one year to publish
● you share less than 10% of the data
● in the future there’s a ~90% chance
it will prove to be wrong…
9. You can’t publish
negative data
I have not failed.
I've just found 10,000 ways
that won't work.
Thomas A. Edison
10. figshare is
at the forefront
of a new movement
in the world of scientific
data publishing
11. ● upload ALL your research data
● public within minutes
● unique identifier in the science world (DOI)
● the research data is citable
● your research is out there (discoverable)
● you get credit for your research
12. By publishing on figshare
all your data, you will:
● speed up the publishing process
● increase the amount of data
that’s being shared
● improve collaboration
● get to the 10% that matters faster,
and focus on that
15. In Universities by the
end of 2015, students will be:
● making use of figshare public data to
speed up the research process
● using our collaboration tools to manage
their research projects
● making research data publicly available
on figshare
● getting credit for their research