This is a presentation I made to introduce undergraduate students to Scholarly communication and science 2.0. It has some examples of new tools that promote open data/access/...throughout the entire research pipeline.
Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data.
Presentation on the Chemical Analysis Metadata Platform (ChAMP) as a new project to characterize and organize metadata about chemical analysis methods. The project will develop an ontology, controlled vocabularies, and design rules
Citing data in research articles: principles, implementation, challenges - an...FAIRDOM
Prepared and presented by Jo McEntyre (EMBL_EBI) as part of the Reproducible and Citable Data and Models Workshop in Warnemünde, Germany. September 14th - 16th 2015.
We describe current work in federating data from institutional research profiling systems – providing single-point
access to substantial numbers of investigators through concept-driven search, visualization of the relationships
among those investigators and the ability to interlink systems into a single information ecosystem.
Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data.
Presentation on the Chemical Analysis Metadata Platform (ChAMP) as a new project to characterize and organize metadata about chemical analysis methods. The project will develop an ontology, controlled vocabularies, and design rules
Citing data in research articles: principles, implementation, challenges - an...FAIRDOM
Prepared and presented by Jo McEntyre (EMBL_EBI) as part of the Reproducible and Citable Data and Models Workshop in Warnemünde, Germany. September 14th - 16th 2015.
We describe current work in federating data from institutional research profiling systems – providing single-point
access to substantial numbers of investigators through concept-driven search, visualization of the relationships
among those investigators and the ability to interlink systems into a single information ecosystem.
The academic search engine provides search results by localizing the scientific results required by the user. There are various types of search engines with different characteristics. The engines are preferred based on the required results.
https://www.cognibrain.com/top-academic-search-engines-for-research/
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMichel Dumontier
Biomedical researchers will remain stymied in their ability to take full advantage of the Big Data revolution if they can never find the datasets that they need to analyze, if there is lack of clarity about what particular datasets contain, and if data are insufficiently described.
CEDAR, an NIH BD2K Center of Excellence, aims to develop methods and tools to vastly ease the burden of authoring good experimental metadata, and to maximally use this information to zero in on datasets of interest.
Tripal v3, the Collaborative Online Database Platform Supporting an Internati...Bradford Condon
Talk given by Dr. Bradford Condon at the NSRP10 session of the Plant and Animal Genomes conference (PAG) 2019. Covers the basics of the biological database toolkit Tripal, and how Tripal enables FAIR data.
Poster presentation about the Resource Identification Initiative (http://www.force11.org/Resource_identification_initiative) at the Research Data Alliance meeting in Dublin, Ireland in March 2014 (https://rd-alliance.org/rda-third-plenary-meeting.html).
Metadata and Semantics Research Conference, Manchester, UK 2015
Research Objects: why, what and how,
In practice the exchange, reuse and reproduction of scientific experiments is hard, dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: codes fork, data is updated, algorithms are revised, workflows break, service updates are released. Neither should they be viewed just as second-class artifacts tethered to publications, but the focus of research outcomes in their own right: articles clustered around datasets, methods with citation profiles. Many funders and publishers have come to acknowledge this, moving to data sharing policies and provisioning e-infrastructure platforms. Many researchers recognise the importance of working with Research Objects. The term has become widespread. However. What is a Research Object? How do you mint one, exchange one, build a platform to support one, curate one? How do we introduce them in a lightweight way that platform developers can migrate to? What is the practical impact of a Research Object Commons on training, stewardship, scholarship, sharing? How do we address the scholarly and technological debt of making and maintaining Research Objects? Are there any examples
I’ll present our practical experiences of the why, what and how of Research Objects.
Open Access, open research data and open scienceIryna Kuchma
This presentation covers open access (OA) and OA theses & dissertations: why you should take action now; impact & metrics; copyright; open research data; open science; and new skills & competencies for librarians. Target audience: PhD students and librarians
Open Access (OA) is a system provide access to knowledge resources with free of cost and other restrictions. This PPT answer to the questions what, why, types, benefits etc. and also describes the creative commons licensing, concept of predatory journals, open access journals, and Sharpa RoMeO.
The academic search engine provides search results by localizing the scientific results required by the user. There are various types of search engines with different characteristics. The engines are preferred based on the required results.
https://www.cognibrain.com/top-academic-search-engines-for-research/
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMichel Dumontier
Biomedical researchers will remain stymied in their ability to take full advantage of the Big Data revolution if they can never find the datasets that they need to analyze, if there is lack of clarity about what particular datasets contain, and if data are insufficiently described.
CEDAR, an NIH BD2K Center of Excellence, aims to develop methods and tools to vastly ease the burden of authoring good experimental metadata, and to maximally use this information to zero in on datasets of interest.
Tripal v3, the Collaborative Online Database Platform Supporting an Internati...Bradford Condon
Talk given by Dr. Bradford Condon at the NSRP10 session of the Plant and Animal Genomes conference (PAG) 2019. Covers the basics of the biological database toolkit Tripal, and how Tripal enables FAIR data.
Poster presentation about the Resource Identification Initiative (http://www.force11.org/Resource_identification_initiative) at the Research Data Alliance meeting in Dublin, Ireland in March 2014 (https://rd-alliance.org/rda-third-plenary-meeting.html).
Metadata and Semantics Research Conference, Manchester, UK 2015
Research Objects: why, what and how,
In practice the exchange, reuse and reproduction of scientific experiments is hard, dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: codes fork, data is updated, algorithms are revised, workflows break, service updates are released. Neither should they be viewed just as second-class artifacts tethered to publications, but the focus of research outcomes in their own right: articles clustered around datasets, methods with citation profiles. Many funders and publishers have come to acknowledge this, moving to data sharing policies and provisioning e-infrastructure platforms. Many researchers recognise the importance of working with Research Objects. The term has become widespread. However. What is a Research Object? How do you mint one, exchange one, build a platform to support one, curate one? How do we introduce them in a lightweight way that platform developers can migrate to? What is the practical impact of a Research Object Commons on training, stewardship, scholarship, sharing? How do we address the scholarly and technological debt of making and maintaining Research Objects? Are there any examples
I’ll present our practical experiences of the why, what and how of Research Objects.
Open Access, open research data and open scienceIryna Kuchma
This presentation covers open access (OA) and OA theses & dissertations: why you should take action now; impact & metrics; copyright; open research data; open science; and new skills & competencies for librarians. Target audience: PhD students and librarians
Open Access (OA) is a system provide access to knowledge resources with free of cost and other restrictions. This PPT answer to the questions what, why, types, benefits etc. and also describes the creative commons licensing, concept of predatory journals, open access journals, and Sharpa RoMeO.
Lezione di Emma Lazzeri e Paolo Manghi (Istituto di Scienza e Tecnologie dell’Informazione Consiglio Nazionale delle Ricerche) entro la Didattica sperimentale per dottorandi dell'Università di Pisa 2018-2019 - Modulo offerti dal LabCD
Crediting informatics and data folks in life science teamsCarole Goble
Science Europe LEGS Committee: Career Pathways in Multidisciplinary Research: How to Assess the Contributions of Single Authors in Large Teams, 1-2 Dec 2015, Brussels
The People Behind Research Software crediting from the informatics, technical point of view
The journey of breast cancer discovery and research - October 2015 awareness ...Julie Decock
This seminar was given by QBRI cancer researchers to students at Qatar University and Hamad Bin Khalifa University in Qatar to raise awareness about breast cancer research and treatment.
the story of my science career: passion, flexibility and supportJulie Decock
an overview of my science career for the ResNet event "Ada Lovelace Day: sharing stories of inspiring women" at University of East Anglia on 15th October 2013.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
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.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
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.
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.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
2. Scholarly communication
entire ecosystem through which research and other scholarly
writings are created, evaluated for quality, disseminated to the
scholarly community, and preserved for future use
Science 2.0
new generation of online-based tools that allows researchers to
change the way of scholary communication
3. scientific revolution of openness
Public perception
outreach
scientific output
Scientific community
collaboration
open data
open peer review and access
4. Kramer, Bianca; Bosman, Jeroen (2015): 101 Innovations in Scholarly Communication - the Changing Research Workflow. figshare.
http://dx.doi.org/10.6084/m9.figshare.1286826
9. PubCrawler is a free "alerting" service
that scans daily updates to the NCBI
Medline (PubMed) and GenBank
(Entrez) databases using search
parameters specified by the user.
11. Ingenuity Pathway analysis (IPA) is a
commercial web-based analysis tool
to model, analyze, and
understand the complex biological
and chemical systems.
Some of its features are:
- structure & function of isoforms
- pathway comparison
- network analysis
- disease and biological function
13. Zotero is a free and open-source
reference management software to
manage bibliographic data and
related research materials (such as
PDF files).
Some of its features are:
- web browser integration
- online library syncing
- library sharing
- in-text citations, footnotes and
bibliographies using word
processors
14. PaperShip is a tablet client for reference
management and pdf annotation.
Some of its features are:
- library syncing (Mendeley, Zotero)
- Pdf download
- Pdf annotation (highlighting, notes)
- Pdf sharing
- altmetrics
16. Sherpa/Romeo is a website listing
publishers' copyright agreements and
retained author rights.
Copyright & self-archiving
17. bioRxiv is a free online archive for
preprints in the life sciences, enabling
authors to make their findings
immediately available to the scientific
community and receive feedback on
draft manuscripts before they are
submitted to journals.
A few journals will not consider
articles that have been posted to
preprint servers which can be found
on SHERPA/RoMEO.
Pre-print servers
19. F1000 research is open access
publishing platform offering
immediate publication, open peer
review and full data deposition and
sharing.
open peer review
20. PubPeer is a website that allows
academics to engage in post-
publication peer review, and has
highlighted shortcomings in several
high-profile papers, in some cases
leading to retractions.
Post publication peer review
21. Retraction Watch is a blog that
reports on retractions of scientific
papers.
Post publication peer review
23. Figshare is an online digital repository
where researchers can make their research
outputs available in a citable, shareable
and discoverable manner, including
figures, datasets, images, and videos.
Data receive a permanent digital object
identifier (doi) which can be included in
the published paper.
27. ORCID (Open Researcher and Contributor ID)
assigns a non-proprietary alphanumeric code
to uniquely identify academic authors.
It is an open source web-app that allows
other web-apps to use its open application
program interface (API) and mine its open
data.
ORCID is adopted by
- Publishers (PLOS, Nature, Elsevier)
- Funders (Wellcome Trust, NIH)
- institutions
ORCID does NOT provide information on
impact.
researcher identifier
28. Google Scholar is a freely accessible web
search engine that indexes the full text or
metadata of scholarly literature across an
array of publishing formats and disciplines
including pre prints, theses, books, university
repositories, articles, …
The caveat is that as an author you need to
check for accuracy as it does NOT use a
unique researcher identifier.
Google Scholar does provide information on
publication impact, ie h-index.
author metrics
29. Impact Story is an open source, web-
based tool that measures the impact of
all research outputs, including journal
papers but also alternative research
outputs such as peer reviews
(Publons), datasets, presentations and
webpages.
Metrics include:
- # citations
- # mentions (twitter, blogs)
- # saves
- # views
Altmetrics
DRYAD: linked to published paper
Gigascience: big data publications linked with datasets.
Scientific data (NPG): peer-reviewed, scientific publications that provide an in-depth look at research datasets. Data Descriptors are a combination of traditional scientific publication content and structured information curated in-house, and are designed to maximize reuse and enable searching, linking and data mining.
Publishers: manage manuscript submission
Funders: manage information
Universities: track publications, total funding received, faculty profiles, …
Unique researcher identifiers are important to acknowledge author’s contributions to the scientific knowledge. It can be hard to track someone's contributions over time due to :
- No unique name
- Maiden or married name
- Inconsistency in first name abbreviation
Inconsistency in first name and surname order
Altmetrics:
non-traditional metrics[1] proposed as an alternative[2] to more traditional citation impact metrics, such as impact factor and h-index.
It includes citation counts, but also how many data and knowledge bases refer to it, article views, downloads, or mentions in social media and news media.
Publishers: manage manuscript submission
Funders: manage information
Universities: track publications, total funding received, faculty profiles, …