PhD Theses are normally locked away digitally. They cost 20 billion dollars to create and we waste much of this value. By making them open we can use software to read, index, reuse, compute and add massive value
PhD Theses are normally locked away digitally. They cost 20 billion dollars to create and we waste much of this value. By making them open we can use software to read, index, reuse, compute and add massive value
This is an updated version of an invited talk I presented at the European Research Council-Brussels (Scientific Seminar): "Love for Science or 'academic prostitution'".
It has been updated to be presented at the Document Freedom Day 2014, during the activities organized by the Oficina de Software Libre de la Universidad de Granada (26th March).
I have included some new slides and revised others.
I present a personal revision (sometimes my own vision) of some issues that I consider key for doing Science. It was focused on the expected audience, mainly Scientific Officers with background in different fields of science and scholarship, but also Agency staff.
Abstract: In a recent Special issue of Nature concerning Science Metrics it was claimed that " Research reverts to a kind of 'academic prostitution' in which work is done to please editors and referees rather than to further knowledge."If this is true, funding agencies should try to avoid falling into the trap of their own system. By perpetuating this 'prostitution' they risk not funding the best research but funding the best sold research.
Given the current epoch of economical crisis, where in a quest for funds researchers are forced into competitive game of pandering to panelists, its seems a good time for deep reflection about the entire scientific system.
With this talk I aim to provoke extra critical thinking among the committees who select evaluators, and among the evaluators, who in turn require critical thinking to the candidates when selecting excellent science.
I will present some initiatives (e.g. new tracers of impact for the Web era- 'altmetrics'), and on-going projects (e.g. how to move from publishing advertising to publishing knowledge), that might enable us to favor Science over marketing.
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)
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: the reproducibility crisis, and the need for transparency. Melbourne University 19th September 2014
This is an updated version of an invited talk I presented at the European Research Council-Brussels (Scientific Seminar): "Love for Science or 'academic prostitution'".
It has been updated to be presented at my home institution (Instituto de Astrofísica de Andalucía - CSIC) in a scientific seminar (14 June 2013).
I have included some new slides and revised others.
I present a personal revision (sometimes my own vision) of some issues that I consider key for doing Science. It was focused on the expected audience, mainly Scientific Officers with background in different fields of science and scholarship, but also Agency staff.
Abstract: In a recent Special issue of Nature concerning Science Metrics it was claimed that " Research reverts to a kind of 'academic prostitution' in which work is done to please editors and referees rather than to further knowledge."If this is true, funding agencies should try to avoid falling into the trap of their own system. By perpetuating this 'prostitution' they risk not funding the best research but funding the best sold research.
Given the current epoch of economical crisis, where in a quest for funds researchers are forced into competitive game of pandering to panelists, its seems a good time for deep reflection about the entire scientific system.
With this talk I aim to provoke extra critical thinking among the committees who select evaluators, and among the evaluators, who in turn require critical thinking to the candidates when selecting excellent science.
I will present some initiatives (e.g. new tracers of impact for the Web era- 'altmetrics'), and on-going projects (e.g. how to move from publishing advertising to publishing knowledge), that might enable us to favor Science over marketing.
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
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
Presentazione all'interno del seminario "Servizi e strumenti per la ricerca a Ca’ Foscari". 29 maggio 2019 ore 9.15 – 14.30. Aula Morelli, Palazzo Malcanton Marcorà, Venezia.
Cite as:
Sarretta, Alessandro. (2019, May). Pubblicare: la parola ai ricercatori (Publishing Open). Zenodo. http://doi.org/10.5281/zenodo.3234169
Open Research Practices in the Age of a Papermill PandemicDorothy Bishop
Talk given to Open Research Group, Maynooth University, October 2022.
Describes the phenomenon of large-scale fraudulent science publishing (papermills), and discusses how open science practices can help tackle this.
Recomendations for infrastructure and incentives for open science, presented to the Research Data Alliance 6th Plenary. Presenter: William Gunn, Director of Scholarly Communications for Mendeley.
Rare (and emergent) disciplines in the light of science studiesAndrea Scharnhorst
Andrea Scharnhorst. Insights from TD1210. presentation given at Exploratory Workshop “Integrating the stake of rare disciplines at the European level” COST, Brussels, September 9, 2015
There is an abundance of free online tools accessible to scientists and others that can be used for online networking, data sharing and measuring research impact. Despite this, few scientists know how these tools can be used or fail to take advantage of using them as an integrated pipeline to raise awareness of their research outputs. In this article, the authors describe their experiences with these tools and how they can make best use of them to make their scientific research generally more accessible, extending its reach beyond their own direct networks, and communicating their ideas to new audiences. These efforts have the potential to drive science by sparking new collaborations and interdisciplinary research projects that may lead to future publications, funding and commercial opportunities. The intent of this article is to: describe some of these freely accessible networking tools and affiliated products; demonstrate from our own experiences how they can be utilized effectively; and, inspire their adoption by new users for the benefit of science.
This is an updated version of an invited talk I presented at the European Research Council-Brussels (Scientific Seminar): "Love for Science or 'academic prostitution'".
It has been updated to be presented at the Document Freedom Day 2014, during the activities organized by the Oficina de Software Libre de la Universidad de Granada (26th March).
I have included some new slides and revised others.
I present a personal revision (sometimes my own vision) of some issues that I consider key for doing Science. It was focused on the expected audience, mainly Scientific Officers with background in different fields of science and scholarship, but also Agency staff.
Abstract: In a recent Special issue of Nature concerning Science Metrics it was claimed that " Research reverts to a kind of 'academic prostitution' in which work is done to please editors and referees rather than to further knowledge."If this is true, funding agencies should try to avoid falling into the trap of their own system. By perpetuating this 'prostitution' they risk not funding the best research but funding the best sold research.
Given the current epoch of economical crisis, where in a quest for funds researchers are forced into competitive game of pandering to panelists, its seems a good time for deep reflection about the entire scientific system.
With this talk I aim to provoke extra critical thinking among the committees who select evaluators, and among the evaluators, who in turn require critical thinking to the candidates when selecting excellent science.
I will present some initiatives (e.g. new tracers of impact for the Web era- 'altmetrics'), and on-going projects (e.g. how to move from publishing advertising to publishing knowledge), that might enable us to favor Science over marketing.
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)
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: the reproducibility crisis, and the need for transparency. Melbourne University 19th September 2014
This is an updated version of an invited talk I presented at the European Research Council-Brussels (Scientific Seminar): "Love for Science or 'academic prostitution'".
It has been updated to be presented at my home institution (Instituto de Astrofísica de Andalucía - CSIC) in a scientific seminar (14 June 2013).
I have included some new slides and revised others.
I present a personal revision (sometimes my own vision) of some issues that I consider key for doing Science. It was focused on the expected audience, mainly Scientific Officers with background in different fields of science and scholarship, but also Agency staff.
Abstract: In a recent Special issue of Nature concerning Science Metrics it was claimed that " Research reverts to a kind of 'academic prostitution' in which work is done to please editors and referees rather than to further knowledge."If this is true, funding agencies should try to avoid falling into the trap of their own system. By perpetuating this 'prostitution' they risk not funding the best research but funding the best sold research.
Given the current epoch of economical crisis, where in a quest for funds researchers are forced into competitive game of pandering to panelists, its seems a good time for deep reflection about the entire scientific system.
With this talk I aim to provoke extra critical thinking among the committees who select evaluators, and among the evaluators, who in turn require critical thinking to the candidates when selecting excellent science.
I will present some initiatives (e.g. new tracers of impact for the Web era- 'altmetrics'), and on-going projects (e.g. how to move from publishing advertising to publishing knowledge), that might enable us to favor Science over marketing.
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
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
Presentazione all'interno del seminario "Servizi e strumenti per la ricerca a Ca’ Foscari". 29 maggio 2019 ore 9.15 – 14.30. Aula Morelli, Palazzo Malcanton Marcorà, Venezia.
Cite as:
Sarretta, Alessandro. (2019, May). Pubblicare: la parola ai ricercatori (Publishing Open). Zenodo. http://doi.org/10.5281/zenodo.3234169
Open Research Practices in the Age of a Papermill PandemicDorothy Bishop
Talk given to Open Research Group, Maynooth University, October 2022.
Describes the phenomenon of large-scale fraudulent science publishing (papermills), and discusses how open science practices can help tackle this.
Recomendations for infrastructure and incentives for open science, presented to the Research Data Alliance 6th Plenary. Presenter: William Gunn, Director of Scholarly Communications for Mendeley.
Rare (and emergent) disciplines in the light of science studiesAndrea Scharnhorst
Andrea Scharnhorst. Insights from TD1210. presentation given at Exploratory Workshop “Integrating the stake of rare disciplines at the European level” COST, Brussels, September 9, 2015
There is an abundance of free online tools accessible to scientists and others that can be used for online networking, data sharing and measuring research impact. Despite this, few scientists know how these tools can be used or fail to take advantage of using them as an integrated pipeline to raise awareness of their research outputs. In this article, the authors describe their experiences with these tools and how they can make best use of them to make their scientific research generally more accessible, extending its reach beyond their own direct networks, and communicating their ideas to new audiences. These efforts have the potential to drive science by sparking new collaborations and interdisciplinary research projects that may lead to future publications, funding and commercial opportunities. The intent of this article is to: describe some of these freely accessible networking tools and affiliated products; demonstrate from our own experiences how they can be utilized effectively; and, inspire their adoption by new users for the benefit of science.
Presentation for the Open Science Week in Dublin, 2022. The presentation outlines motivations and solutions from the "Replacing Academic Journals" proposal:
https://doi.org/10.5281/zenodo.5526634
Good Riddance: Academic Publishers are Abandoning PublishingBjörn Brembs
Talk at RIOT science club on the myriad ways in which science would do so much better if scholarly institutions took their money and spent it on modern information technology instead of antiquated and counter-productive journals.
Publish or perish: how our literature serves the anti-science agendaBjörn Brembs
Online presentation at the Leibniz-Institute of Freshwater Ecology and Inland Fisheries on how our journals are one of the core reasons for the reliability, affordability and functionality issues science is experiencing today and how to fix them.
Modernisierung der Infrastruktur - so viel mehr als nur Zugang.Björn Brembs
Vortrag über die Ursachen warum die digitale informationsinfrastruktur in der Wissenschaft so hoffnungslos veraltet ist und welche verheerenden Konsequenzen das für die Wissenschaft hat.
Incentives for infrastructure modernizationBjörn Brembs
Slides for EUA meeting explaining a strategy for open science infrastructure reform. The strategy is laid out in detail here:
http://bjoern.brembs.net/2018/11/maybe-try-another-kind-of-mandate/
The neurobiological nature of free willBjörn Brembs
Our own experience of our free will has been classified as either supernatural or an illusion because it is difficult to reconcile with macroscopic determinism as well as with microscopic quantum randomness. The former constituting a prison in which no freedom can exist, the latter signifying destructive chaos rather than creative action. Lost in this dichotomy is the demonstrated constructive combination of chance and necessity in complex systems, such as evolution. Recent converging evidence from neuroscience, ecology and genetics suggests that nervous systems, including human brains, have evolved neural circuits that harness (potentially quantum) chance events by embedding them in the controlling architecture of neuronal rules, in order to carefully inject them as creative components into ongoing goal-directed behavior. This presentation contains evidence that this form of behavioral variability may constitute a necessary neural mechanism for free will to evolve in humans.
The evolutionary conserved neurobiology of operant learningBjörn Brembs
Presentation at the 2016 annual meeting of the Mind and Brain College of the University of Lisbon on the multiple learning systems interacting during operant learning.
A replication crisis in the making: how we reward unreliable scienceBjörn Brembs
Presentation at the 2016 annual meeting of the Mind and Brain College of the university of Lisbon on the infrastructural causes for the apparent replication crisis in the experimental/biomedical sciences.
What's wrong with our scholarly infrastructure?Björn Brembs
First of a two-part series on the issues scientists face with their expensive, antiquated infrastructure and how to overcome these problems. First part on problems, second part (upcoming) on solutions.
General brain function: Action – Outcome EvaluationBjörn Brembs
My presentation for the brain and behavior symposium entitled "Brain, Cognition, Behavior, Evolution: Polyglot to Monoglot?" organized by Jerry Hogan at the Institute of advanced studies of the University of Sao Paulo, Brazil.
Journal Club: Behavioral variability in C. elegansBjörn Brembs
My journal club presentation for Tuesday, March 17, 2015 on the paper: Feedback from Network States Generates Variability in a Probabilistic Olfactory Circuit http://dx.doi.org/10.1016/j.cell.2015.02.018
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.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
4. Nothing happens when we click on "we
performed the experiments as described
previously"?
First demonstration: 1968 WWW: 1989
Stanford Research Institute: NLS Tim Berners-Lee: CERN
5.
6. At least four different search
tools to be sure not to miss any
relevant literature?
25. Macleod MR, et al. (2015) Risk of Bias in Reports of In Vivo Research: A Focus for Improvement. doi:10.1371/journal.pbio.1002273
26. Brembs, B., Button, K., & Munafò, M. (2013). Deep impact: unintended consequences of journal rank. Frontiers in Human Neuroscience, 7. doi:10.3389/fnhum.2013.00291
27. Munafò, M., Stothart, G., & Flint, J. (2009). Bias in genetic association studies and impact factor Molecular Psychiatry, 14 (2), 119-120 DOI: 10.1038/mp.2008.77
28. Brown, E. N., & Ramaswamy, S. (2007).
Quality of protein crystal structures. Acta
Crystallographica Section D Biological
Crystallography, 63(9), 941–950.
doi:10.1107/S0907444907033847
30. The ideal review should answer the following questions:
1. Who will be interested in reading the paper, and why?
2. What are the main claims of the paper and how significant are they?
3. Is the paper likely to be one of the five most significant papers published in the discipline this year?
4. How does the paper stand out from others in its field?
5. Are the claims novel? If not, which published papers compromise novelty?
6. Are the claims convincing? If not, what further evidence is needed?
7. Are there other experiments or work that would strengthen the paper further?
8. How much would further work improve it, and how difficult would this be? Would it take a long time?
9. Are the claims appropriately discussed in the context of previous literature?
10. If the manuscript is unacceptable, is the study sufficiently promising to encourage the authors to resubmit?
11. If the manuscript is unacceptable but promising, what specific work is needed to make it acceptable?
If time is available, it is extremely helpful to the editors if reviewers can advise on some of the following points:
12. Is the manuscript clearly written?
13. If not, how could it be made more clear or accessible to nonspecialists?
14. Would readers outside the discipline benefit from a schematic of the main result to accompany publication?
15. Could the manuscript be shortened? (Because of pressure on space in our printed pages we aim to publish manuscripts as short as is consistent
with a persuasive message.)
16. Should the authors be asked to provide supplementary methods or data to accompany the paper online? (Such data might include source code for
modelling studies, detailed experimental protocols or mathematical derivations.)
17. Have the authors done themselves justice without overselling their claims?
18. Have they been fair in their treatment of previous literature?
19. Have they provided sufficient methodological detail that the experiments could be reproduced?
20. Is the statistical analysis of the data sound, and does it conform to the journal's guidelines?
21. Are the reagents generally available?
22. Are there any special ethical concerns arising from the use of human or other animal subjects?
http://www.nature.com/authors/policies/peer_review.html
37. Costs[thousandUS$/article]
Legacy Modern
(Sources: Van Noorden, R. (2013). Open access: The true cost of science publishing. Nature 495, 426–9; Packer, A. L. (2010). The SciELO Open
Access: A Gold Way from the South. Can. J. High. Educ. 39, 111–126)
Annualwaste:>US$9billion
????
38. Costs[thousandUS$/article]
Legacy Modern
(Sources: Van Noorden, R. (2013). Open access: The true cost of science publishing. Nature 495, 426–9; Packer, A. L. (2010). The SciELO Open
Access: A Gold Way from the South. Can. J. High. Educ. 39, 111–126)
Annualwaste:>US$9billion
39.
40.
41. (Sources: Van Noorden, R. (2013). Open access: The true cost of science publishing. doi:10.1038/495426a, Packer, A. L. (2010). The SciELO Open
Access: A Gold Way from the South. Can. J. High. Educ. 39, 111–126)
Potentialforinnovation:9.8bp.a.
Costs[thousandUS$/article]
Legacy Modern
55. • Rockefeller University Press bought their data from Thomson Reuters
• Up to 19% deviation from published records
• Second dataset still not correct
Rossner M, van Epps H, Hill E (2007): Show me the data. The Journal of Cell
Biology, Vol. 179, No. 6, 1091-1092 http://jcb.rupress.org/cgi/content/full/179/6/1091
56. • Left-skewed distributions
• Weak correlation of individual
article citation rate with journal IF
Seglen PO (1997): Why the impact factor of journals should not be used for evaluating research. BMJ 1997;314(7079):497http://www.bmj.com/cgi/content/full/314/7079/497
59. “The decision, based on market and competitor analysis, will bring Emerald’s
APC pricing in line with the wider market, taking a mid-point position amongst its
competitors.”
Emerald spokesperson