| www.eudat.eu | The presentation gives an introduction to Research Data Management, explaining why it is important to manage and share data.
November 2016
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
FAIR Data in Trustworthy Data Repositories Webinar - 12-13 December 2016| www...EUDAT
| www.eudat.eu | This webinar was co-organised by DANS, EUDAT and OpenAIRE and was held on 12th and 13th December 2016.
Everybody wants to play FAIR, but how do we put the principles into practice?
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
B2SHARE: Record lifecycle and HTTP API| www.eudat.eu | EUDAT
| www.eudat.eu | B2SHARE is a scientific data repository providing persistent storage and sharing data facilities. Building on the new Invenio 3.0 digital assets management platform, a new version of B2SHARE has been developed which is focused on an improved user experience. Answering the requests of the current user base, B2SHARE version 2 provides customizable metadata schemas and a simple but effective workflow for depositing user data, exposed in its RESTful HTTP API.
The presentation will introduce the B2SHARE service, its organizing principles and its basic operations. The metadata schemas and the dataset lifecycle, which are essentials in understanding the possibilities of the service, will be the main focus of the talk. The concrete output of the session can be a full paper expanding the presented topics.
Target Audience:Researchers of any scientific domain, which work with publishable data sets.
B2STAGE- how to shift large amounts of data| www.eudat.eu | EUDAT
| www.eudat.eu | B2STAGE is a reliable, efficient, light-weight and easy-to-use service to transfer research data sets between EUDAT storage resources and high-performance computing (HPC) workspaces.
Introduction to Persistent Identifiers| www.eudat.eu | EUDAT
| www.eudat.eu | What are persistent identifiers? Why use persistent identifiers? Different persistent identifier systems; The HANDLE system; EPIC PID system; Policies; Use cases
Ver 2 July 2017
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
FAIR Data in Trustworthy Data Repositories Webinar - 12-13 December 2016| www...EUDAT
| www.eudat.eu | This webinar was co-organised by DANS, EUDAT and OpenAIRE and was held on 12th and 13th December 2016.
Everybody wants to play FAIR, but how do we put the principles into practice?
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
B2SHARE: Record lifecycle and HTTP API| www.eudat.eu | EUDAT
| www.eudat.eu | B2SHARE is a scientific data repository providing persistent storage and sharing data facilities. Building on the new Invenio 3.0 digital assets management platform, a new version of B2SHARE has been developed which is focused on an improved user experience. Answering the requests of the current user base, B2SHARE version 2 provides customizable metadata schemas and a simple but effective workflow for depositing user data, exposed in its RESTful HTTP API.
The presentation will introduce the B2SHARE service, its organizing principles and its basic operations. The metadata schemas and the dataset lifecycle, which are essentials in understanding the possibilities of the service, will be the main focus of the talk. The concrete output of the session can be a full paper expanding the presented topics.
Target Audience:Researchers of any scientific domain, which work with publishable data sets.
B2STAGE- how to shift large amounts of data| www.eudat.eu | EUDAT
| www.eudat.eu | B2STAGE is a reliable, efficient, light-weight and easy-to-use service to transfer research data sets between EUDAT storage resources and high-performance computing (HPC) workspaces.
Introduction to Persistent Identifiers| www.eudat.eu | EUDAT
| www.eudat.eu | What are persistent identifiers? Why use persistent identifiers? Different persistent identifier systems; The HANDLE system; EPIC PID system; Policies; Use cases
Ver 2 July 2017
Research engagement in EUDAT| www.eudat.eu | EUDAT
| www.eudat.eu | EUDAT’s vision is to enable European researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment, as part of a Collaborative Data Infrastructure (CDI) conceived as a network of collaborating, cooperating centres, that combine community-specific data repositories with the permanence and persistence of some of Europe’s largest scientific data centres. EUDAT services are community driven solutions. This presentation describes the different ways EUDAT engages with the research communities
| www.eudat.eu | B2FIND Integration Version 4 February 2017: The aim of this presentation is to illustrate how metadata can be published in the B2FIND catalogue and how EUDAT’s B2FIND metadata catalogue can be integrated.
The presentation gives an overview of what metadata is and why it is important. It also addresses the benefits that metadata can bring and offers advice and tips on how to produce good quality metadata and, to close, how EUDAT uses metadata in the B2FIND service.
November 2016
Persistent Identifiers in EUDAT services| www.eudat.eu | EUDAT
| www.eudat.eu | The EUDAT data domain handles registered data. Each digital object should have a persistent identifier. This persistent identifier is used for: Replica identification; Identification of the repository of record (in the case of replication); Querying of additional information; Checksum (time stamped)...
B2SHARE - How to share and store research data using EUDAT’s B2SHARE | www.eu...EUDAT
| www.eudat.eu | B2SHARE is a user-friendly, reliable and trustworthy way for researchers, scientific communities and scientists to store and share small-scale research data from diverse contexts.
| www.eudat.eu | B2FIND - User training Version 07, June 2017: B2FIND is EUDAT’s simple, user friendly metadata catalogue allowing users to discover metadata from a wide range of scientific communities.
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
Are you a researcher, citizen scientist, institution or community looking for data storage and value-added services? Do you want access to tools to make your research data more FAIR (findable, accessible, interoperable, and reusable)? Interested in seeing how the future European Open Science Cloud could support research data and practically foster cross-border, cross-disciplinary collaboration? Then this webinar is for you!
EUDAT B2Service Suite| - A new version is available at http://ow.ly/fsCi30grKHVEUDAT
| www.eudat.eu | EUDAT offers a complete set of research data services, expertise and technology solutions to all European scientists and researchers. These shared services and storage resources are distributed across 15 European countries.
January 2017
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
How EUDAT services support FAIR data - IDCC 2017| www.eudat.eu | EUDAT
| www.eudat.eu | Welcome Overview of the EUDAT service suite and the FAIR principles.
Sarah Jones, Marjan Grootveld, Yann Le Franc - IDCC Conference, February 20, 2017
Does open science matter at proposal evaluationIvo Grigorov
"Winning Horizon2020 with Open Science" (doi 10.5281/zenodo.12247) brief was integrated in Marie Curie ETNs and Societal Challenge 2 & 5 proposals in order to test whether Open Science can give applicants a competitive edge. These slides offer preliminary extracts from 2015-2016 Evaluation Summary Reports (ESR).
Discover the best adventure activities you can enjoy with your loved one. These destination are sure to provide adrenaline fueled activities to strengthen the bond between soulmates.
Research engagement in EUDAT| www.eudat.eu | EUDAT
| www.eudat.eu | EUDAT’s vision is to enable European researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment, as part of a Collaborative Data Infrastructure (CDI) conceived as a network of collaborating, cooperating centres, that combine community-specific data repositories with the permanence and persistence of some of Europe’s largest scientific data centres. EUDAT services are community driven solutions. This presentation describes the different ways EUDAT engages with the research communities
| www.eudat.eu | B2FIND Integration Version 4 February 2017: The aim of this presentation is to illustrate how metadata can be published in the B2FIND catalogue and how EUDAT’s B2FIND metadata catalogue can be integrated.
The presentation gives an overview of what metadata is and why it is important. It also addresses the benefits that metadata can bring and offers advice and tips on how to produce good quality metadata and, to close, how EUDAT uses metadata in the B2FIND service.
November 2016
Persistent Identifiers in EUDAT services| www.eudat.eu | EUDAT
| www.eudat.eu | The EUDAT data domain handles registered data. Each digital object should have a persistent identifier. This persistent identifier is used for: Replica identification; Identification of the repository of record (in the case of replication); Querying of additional information; Checksum (time stamped)...
B2SHARE - How to share and store research data using EUDAT’s B2SHARE | www.eu...EUDAT
| www.eudat.eu | B2SHARE is a user-friendly, reliable and trustworthy way for researchers, scientific communities and scientists to store and share small-scale research data from diverse contexts.
| www.eudat.eu | B2FIND - User training Version 07, June 2017: B2FIND is EUDAT’s simple, user friendly metadata catalogue allowing users to discover metadata from a wide range of scientific communities.
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
Are you a researcher, citizen scientist, institution or community looking for data storage and value-added services? Do you want access to tools to make your research data more FAIR (findable, accessible, interoperable, and reusable)? Interested in seeing how the future European Open Science Cloud could support research data and practically foster cross-border, cross-disciplinary collaboration? Then this webinar is for you!
EUDAT B2Service Suite| - A new version is available at http://ow.ly/fsCi30grKHVEUDAT
| www.eudat.eu | EUDAT offers a complete set of research data services, expertise and technology solutions to all European scientists and researchers. These shared services and storage resources are distributed across 15 European countries.
January 2017
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
How EUDAT services support FAIR data - IDCC 2017| www.eudat.eu | EUDAT
| www.eudat.eu | Welcome Overview of the EUDAT service suite and the FAIR principles.
Sarah Jones, Marjan Grootveld, Yann Le Franc - IDCC Conference, February 20, 2017
Does open science matter at proposal evaluationIvo Grigorov
"Winning Horizon2020 with Open Science" (doi 10.5281/zenodo.12247) brief was integrated in Marie Curie ETNs and Societal Challenge 2 & 5 proposals in order to test whether Open Science can give applicants a competitive edge. These slides offer preliminary extracts from 2015-2016 Evaluation Summary Reports (ESR).
Discover the best adventure activities you can enjoy with your loved one. These destination are sure to provide adrenaline fueled activities to strengthen the bond between soulmates.
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 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.
The availability of on-demand, utility computing via the cloud introduces a new world of flexibility but also an entirely new charging model for applications. This new model has long promised to provide metered compute, charging you for exactly the amount of processing power you need, at the points that you need it.
The cloud is a large paradigm change, not just for some of the technologies involved but also for the economics and the return on investment for deploying and running a given application. Whereas traditional on-premises applications require upfront capital expenditure on hardware, cloud deployments have an ongoing operational expense. Additionally, clouds typically charge by the amount of memory used, whereas applications are typically developed and tuned to run as fast as possible using all the available (already paid for) resources.
Chris Bailey explains how this new economics of the cloud is driving changes in the way applications are architected, developed, and deployed.
Presented at the O'Reilly Software Architecture Conference, London 2017
Over the last 12 months Swift has gone from an emerging language on the server, to a real one. The ability to run Swift on both Mobile and Server, works ideally in the Backend for Frontend "BFF") pattern.
Statistics show that 1 in 5 women will have trouble getting pregnant. Of those cases, almost 30% are unexplained. Learn more about the hormonal factors affecting fertility.
From ECM Enterprise Content Management to EIM Enterprise Information Management | Presentation at the Fujitsu Imaging Channel Partner Conference Marrakech 2009 | Dr. Ulrich kampffmeyer | PROJECT CONSULT | February 12th, 2009 | handout version - animation removed | Powerpoint PPS version http://www.project-consult.net/Files/20090212_ECM_to_EIM_Fujitsu_Marrakech_Kff_Show_3.pps
Share the Love: using social media to engage donorsBloomerang
Did you know that 53% of donors lapse because of poor donor communication? Though social media usage has become pervasive among nonprofits, it is still used primarily for promotion. Those organizations who are utilizing networks like Facebook, Twitter and Instagram to show authentic and personalized appreciation to supporters are reaping the benefits of increased engagement and donor loyalty.
This session will help you discover how to maximize your nonprofit’s social media accounts through thankfulness, instead of promotion. We will examine real-life examples of effective social media usage from organizations large and small, as well as the latest research into what works and what doesn’t.
Learning Outcomes:
Discover time-honored gift acknowledgement techniques that translate perfectly to social media
Learn how to formulate a relevant social content strategy for your organization
Understand data-driven best practices in timing, format and style of social posts across all networks
Productivity gains are key to the bottom line profits of your department and organization because they allow you to accomplish more with less. The purpose of this webinar is to discuss the 3 vital elements that can help you and your organization increase its productivity gains by:
• Cascading Activity Alignment
• Optimizing Resource Utilization
• Increasing throughput and value creation
To learn more: http://developingaculturethatworks.com/
Key Questions and Ideas this presentation addresses:
· How to manage a Portfolio if you don't have a PMO?
· How to say no to a project request?
· Portfolio Governance
· How to setup a portfolio management office?
· How to engage the business or practice groups?
· How to develop a mature portfolio practice?
· What are the steps for setting up a PPM capability?
Research has shown that top performing organizations that practice project portfolio management (PPM) and IT Governance have a 40% greater return on IT investments than their competitors. During this presentation the speaker will cover tips and techniques such as:
•Portfolio Optimization practices that work
•How to categorize your PPM inventory
•Understanding the difference between project reviews and portfolio management reviews
•How should risk management impact your PPM environment
•What Top 3 soft skills must PPM managers develop
•RACI for PPM Governance
To learn more: http://developingaculturethatworks.com/
Dr Simon Duffy gave this talk to lecturers, practitioners and students in social work at Kingston University, London. He explores the underlying causes of the severe crisis in social care and suggest what we can do about it.
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATOpenAIRE
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
A talk outlining the virtues and processes of Research Data Management for PhD students in the geosciences. Given by Stuart Macdonald at the Introduction to RDM Workshop, School of Geosciences, University of Edinburgh, on 2 November 2015
Presentation given at the Consorcio Madrono conference on Data Management Plans in Horizon 2020 http://www.consorciomadrono.es/info/web/blogs/formacion/217.php
Data management plans – EUDAT Best practices and case study | www.eudat.euEUDAT
| www.eudat.eu | Presentation given by Stéphane Coutin during the PRACE 2017 Spring School joint training event with the EU H2020 VI-SEEM project (https://vi-seem.eu/) organised by CaSToRC at The Cyprus Institute. Science and more specifically projects using HPC is facing a digital data explosion. Instruments and simulations are producing more and more volume; data can be shared, mined, cited, preserved… They are a great asset, but they are facing risks: we can miss storage, we can lose them, they can be misused,… To start this session, we will review why it is important to manage research data and how to do this by maintaining a Data Management Plan. This will be based on the best practices from EUDAT H2020 project and European Commission recommendation. During the second part we will interactively draft a DMP for a given use case.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/32c6TnG
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
Similar to EUDAT Research Data Management | www.eudat.eu | (20)
With a network of more than 20 European research
organisations, data and computing centres in 14 countries,
the EUDAT Collaborative Data Infrastructure (CDI) is one of
the largest infrastructures of integrated data services and
resources supporting research in Europe.
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.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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.
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.
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.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
EUDAT Research Data Management | www.eudat.eu |
1. EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065 www.eudat.eu
Research Data Management
Version 2
August 2016
This work is licensed under the Creative
Commons CC-BY 4.0 licence
2. The changing data landscape
Managing and sharing research data
EUDAT services
Overview
3. THE CHANGING DATA LANDSCAPE
Image CC-BY-SA ‘data.path Ryoji.Ikeda - 3’ by r2hox www.flickr.com/photos/rh2ox/9990016123
4. Data explosion
More and more data is
being created
Issue is not creating data,
but being able to navigate
and use it
Data management is
critical to make sure data
are well-organised,
understandable and
reusable
Image by ‘Coupmedia’ by http://www.coupmedia.com/resources/
5. Digital data are fragile and susceptible to loss for a wide variety of reasons
Natural disaster
Facilities infrastructure failure
Storage failure
Server hardware/software failure
Application software failure
Format obsolescence
Legal encumbrance
Human error
Malicious attack
Loss of staffing competencies
Loss of institutional commitment
Loss of financial stability
Changes in user expectations
Data loss
Image CC-BY ‘Hard Drive 016’ by Jon Ross www.flickr.com/photos/jon_a_ross/1482849745
6. Link rot – more 404 errors
generated over time
Reference rot* – link rot
plus content drift i.e.
webpages evolving and no
longer reflecting original
content cited
* Term coined by Hiberlink http://hiberlink.org
Data persistency issues
Jonathan D. Wren Bioinformatics 2008;24:1381-1385
7. A reproducibility crisis
Nature special issue
http://www.nature.com/news
/reproducibility-1.17552
Several studies have shown
alarming numbers of
published papers that don’t
stand up to scrutiny
8. A wildlife biologist for a small field office was the in-house GIS expert
and provided support for all the staff’s GIS needs. However, the data
was stored on her own workstation. When
the biologist relocated to another office, no one understood how
the data was stored or managed.
Solution: A state office GIS specialist retrieved the workstation
and sifted through files trying to salvage relevant data.
Cost: 1 work month ($4,000) plus the value of data that was not
recovered
Consider that the situation could have been worse, because the data
was not being backed up as it would have been if stored on a server.
Poor data management - science example
9. In preparation for a Resource Management Plan, an office
discovered 14 duplicate GPS inventories of roads.
However, because none of the inventories had enough
metadata, it was impossible to know which inventory was
best or if any of the inventories actually met their
requirements.
Solution: Re-Inventory roads
Cost: Estimated 9 work months
per inventory @$4,000/wm
(14 inventories = $504,000)
Poor data management - federal example
Image CC-BY ‘Minature fake highway interchange in Chicago’ by Ryan www.flickr.com/photos/ryanready/4692092024
10. Why manage research data?
To make your research easier!
To stop yourself drowning in irrelevant stuff
In case you need the data later
To avoid accusations of fraud or bad science
To share your data for others to use and learn from
To get credit for producing it
Because funders or your organisation require it
Well-managed data opens up opportunities for re-
use, integration and new science
11. MANAGING & SHARING DATA
Image CC-BY-SA by https://www.flickr.com/photos/notbrucelee/8016192302
12. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESERVING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
Research data lifecycle
CREATING DATA: designing research,
DMPs, planning consent, locate existing
data, data collection and management,
capturing and creating metadata
RE-USING DATA: follow-
up research, new
research, undertake
research reviews,
scrutinising findings,
teaching & learning
ACCESS TO DATA:
distributing data,
sharing data,
controlling access,
establishing copyright,
promoting data PRESERVING DATA: data storage, back-
up & archiving, migrating to best format
& medium, creating metadata and
documentation
ANALYSING DATA:
interpreting, & deriving
data, producing outputs,
authoring publications,
preparing for sharing
PROCESSING DATA:
entering, transcribing,
checking, validating and
cleaning data, anonymising
data, describing data,
manage and store data
Ref: UK Data Archive: http://www.data-archive.ac.uk/create-manage/life-cycle
14. A DMP is a brief plan to define:
• how the data will be created?
• how it will be documented?
• who will access it?
• where it will be stored?
• who will back it up?
• whether (and how) it will be shared & preserved?
DMPs are often submitted as part of grant applications, but
are useful whenever researchers are creating data.
Data Management Planning
15. Metadata and documentation is needed to locate and
understand research data
Think about what others would need in order to find,
evaluate, understand, and reuse your data.
Get others to check the metadata to improve quality
Use standards to enable interoperability
Metadata and documentation
16. Where to store your data?
Your own drive (PC, server, flash drive, etc.)
– And if you lose it? Or it breaks?
Somebody else’s drive / departmental drive
“Cloud” drive
– Do they care as much about your data as you do?
Large scale infrastructure services like EUDAT
17. How to backup?
3... 2... 1... backup!
– at least 3 copies of a file
– on at least 2 different media
– with at least 1 offsite
Use managed services where possible e.g.
University filestores or infrastructure services
like EUDAT rather than local or external hard
drives
Ask IT teams for advice
18. Backup and preservation
– not the same thing!
Backups
o Used to take periodic snapshots of data in case the current
version is destroyed or lost
o Backups are copies of files stored for short or near-long-
term
o Often performed on a somewhat frequent schedule
Archiving
o Used to preserve data for historical reference or potentially
during disasters
o Archives are usually the final version, stored for long-term,
and generally not copied over
o Often performed at the end of a project or during major
milestones
19. A mistake in a spreadsheet led
to dramatically different results
from those published.
These results were cited by
the International Monetary
Fund and the UK Treasury to
justify austerity programmes.
Had the data been shared, this
could have been picked up
earlier.
The importance of sharing data
20. Concerns About Data Sharing
Concern Solution
inappropriate use due to
misunderstanding of research
purpose or parameters
security and confidentiality of
sensitive data
lack of acknowledgement / credit
loss of advantage when competing
for research dollars
21. Concerns About Data Sharing
Concern Solution
inappropriate use due to
misunderstanding of research
purpose or parameters
security and confidentiality of
sensitive data
lack of acknowledgement / credit
loss of advantage when competing
for research dollars
metadata
metadata
metadata
metadata
22. Concerns About Data Sharing
Concern Solution
inappropriate use due to
misunderstanding of research
purpose or parameters
provide rich Abstract, Purpose,
Use Constraints and Supplemental
Information where needed
security and confidentiality of
sensitive data
• the metadata does NOT
contain the data
• Use Constraints specify who
may access the data and how
lack of acknowledgement / credit
specify a required data citation
within the Use Constraints
loss data insight and competitive
advantage when vying for
research dollars
create second, public version with
generalized Data Processing
Description
23. Making data shareable
Create robust metadata that has been checked
Include reference information e.g. unique IDs & properly
formatted data citations
Publish your metadata so it’s discoverable. Use portals,
clearing houses, online resources…
Package up the data and associated metadata to deposit
in repositories
24. Deciding what to preserve and share
It’s not possible to keep everything. Select based on:
What has to be kept e.g. data underlying publications
What can’t be recreated e.g. environmental recordings
What is potentially useful to others
What has scientific, cultural or historical value
What legally must be destroyed
How to select and appraise research data:
www.dcc.ac.uk/resources/how-guides/appraise-select-research-data
25. EUDAT SERVICE SUITE
Image CC-BY-NC ‘Data centre’ by Bob Mical www.flickr.com/photos/small_realm/15995555571
26. EUDAT services
EUDAT offers a pan-European solution, providing a
generic set of services to ensure minimum level of
interoperability
Building common
data services in
close collaboration
with 25+
communities
27. EUDAT B2 service suite
Covering both access and
deposit, from informal data
sharing to long-term
archiving, and addressing
identification, discoverability
and computability of both
long-tail and big data,
EUDAT’s services will
address the full lifecycle of
research data
28. Support throughout the lifecycle
CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESERVING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
29. www.eudat.eu
Authors Contributors
This work is licensed under the Creative Commons CC-BY 4.0 licence
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures.
Contract No. 654065
Sarah Jones, Digital Curation
Centre
Mark van de Sanden, SURFsara
Thank you
Content has also been repurposed from the DataONE Educational
modules, ‘Data Management’ and ‘Data Sharing’ Retrieved from
https://www.dataone.org/education-modules
Editor's Notes
This presentation will give an introduction to Research Data Management, explaining why it is important to manage and share data.
There are three main topics that we will discuss:
The changing data landscape, looking at what issues this brings.
Secondly, we discuss considerations to make when managing and sharing data
Finally we’ll touch on the EUDAT service suite and how support is provided throughout the lifecycle
So let’s begin by looking at the changing data landscape.
There’s been a data explosion. The amount of data being created now is growing exponentially, so the biggest challenge is being able to navigate and use it. This is why data management is critical.
Digital data are fragile. There are lots of ways in which data can be lost. Hardware and software can fail, formats can become obsolete, you can lose the knowledge and skills needed to understand the data, and you can lose the investment needed to keep the data accessible.
Several studies have also shown issues with data persistence. This graph shows how many broken links there are in a selection of MEDLINE papers. The further back you go, the higher the percentage, and worryingly, the highest percentage is for the most recent papers (abstracts from 2007).
Another issue that occurs is reference rot, where the link still resolves, but the content presented no longer reflects the original content cited as the webpage has been updated.
All of these issues are leading to a reproducibility crisis. Several studies have shown alarming numbers of published papers that don’t stand up to scrutiny. In 2015, Nature released a special issue on this.
There are lots of ways in which data can be poorly managed so let’s look at a couple of examples.
The first one is about a loss of expertise. A wildlife biologist was the in-house GIS expert, but when she relocated to another office, no one understood how the data was stored or managed. They had to bring another specialist in at a cost of 1 month’s work. It could have been worse though as the data were stored on a standalone computer and weren’t being backed up.
You need to manage transitions when staff move on to make sure everything is properly documented so the data are accessible to and understood by others.
The other example comes from government. An office found several duplicate GPS inventories of roads, none of which was properly described. As it wasn’t clear what was most up-to-date and accurate, they had to re-inventory the roads. If data aren’t properly documented, they may become unusable, forcing you to re-create the data. Here the cost was 9 months of work per inventory, so over $500,000
There are lots of reasons to manage research data. Ultimately though, it’s to make your research easier. If data are properly documented and organised, you can stop yourself drowning in irrelevant stuff and find the data when you need it – for example to validate findings. By managing your data you can also more easily share it with others to get more credit and impact. You may also be required to explain how you will manage your data by your funder or university.
Well-managed data opens up opportunities for re-use, integration and new science
Let’s move on to the considerations to make when managing and sharing data
This research data lifecycle is taken from the UK Data Archive. It shows you the different processes and activities you’ll go through.
Creating data: This is when you’ll design the research, write Data Management Plans, negotiate consent agreements, find any existing data you want to reuse, collect/capture your data and create any associated metadata
Processing data: When processing your data, you’ll be entering, transcribing, checking, validating and cleaning it, you may also need to anonymise your data, you should describe it and make sure it’s properly managed and stored.
Analysing data: when you analyse your data you’ll be interpreting it and creating derived data and outputs, you’ll probably also author publications and prepare the data for deposit and sharing.
Preserving data: data repositories play a key role in preserving data: they will make sure it’s properly stored and archived, they will migrate the formats and storage medium and create associated metadata and documentation to explain any changes made
Access to data: it may be that you share your data via a repository or handle access requests yourself. Either way, you need to establish copyright, decide who can have access and promote the data.
Re-using data: data can be re-used in follow-up studies, new research, research reviews, to evidence findings or for teaching and learning. Try to keep an open mind about the different ways in which your data could be re-used and make it as open as possible.
A digital object is a bitstream, with a persistent identifier and associated metadata. The data alone (literally just the bitstream) is meaningless if others can’t find and understand it.
A Data Management Plan is often written early on in the research process to determine what data will be created and how it will be managed. Sometime you are asked for a DMP as part of a grant application, but they are useful to write regardless as it helps to develop consistent procedures from the outset.
Metadata is needed to locate and understand the data. When you are deciding what information to capture, think about what others would need in order to find, evaluate, understand, and reuse your data. Also get others to check your metadata to improve the quality and make sure it’s understandable to others. Standards should be used where possible.
There are lots of places you can store your data. You’re best to use managed services where possible as they’re more resilient. If you store data on standalone computers, memory sticks or in the cloud, be mindful of the risk of loss or security breaches.
If you’re responsible for backing up your own data, you want to ensure there are multiple copies, on different media with at least 1 offsite. Where possible though, you should use managed services so the backup is done automatically for you.
Remember that backup and preservation are not the same thing (though the terms are often used interchangeably).
Backups are performed regularly to take periodic snapshots of the data for the short to medium term, whereas archiving is preserving the final version of the data for the long-term.
You should make sure your data are backed-up during the active phase of research and that any data needed for the long-term are archived.
It is also important to share your data where possible, particularly to evidence your findings.
This article reflects on an inadvertent error in a economics paper by Reinhart and Rogoff. Missing some rows out of an average gave drastically different results – what was published suggested that countries with 90% debt ratios see their economies shrink by 0.1%. Instead, it should have found that they grow by 2.2% – less than those with lower debt ratios, but not a spiralling collapse. This mistake wasn’t picked up on initially as the data hadn’t been shared. The mistake fed into government policy as the findings were used as justification for austerity measures in the UK and various other countries in the EU.
Naturally, researchers may worry that the data will be taken out of context, misinterpreted or used inappropriately. They may also be concerned about maintaining the confidentiality and security of sensitive data. Business concerns may arise as well - will data users give proper credit and acknowledgement to the scientist? Will the scientist lose a competitive advantage by sharing this valuable resource?
There are lots of reasons why researchers may be reluctant to share data, so what is the solution?
Each of these issues can, in great part, be addressed by providing rich data documentation known as ‘metadata’.
By providing metadata, the research scientist establishes the purpose, methods, sources and parameters of the data. As such, data users are given the information necessary to appropriately apply, protect and cite the data. If the metadata contains information about proprietary data processing or analysis techniques, the competitive advantage can be maintained by creating a second, more generalized, metadata record for public distribution.
To make your data shareable, you should create robust metadata and seek a second a second opinion on this to ensure it’s understandable to others. Also include reference information so others can find your data and give you credit. The metadata should be published online and packaged up with your data to deposit in repositories.
It might not be possible to preserve and share all your data, so you may need to make a selection. Some factor to consider could be what has to be kept, for example for legal reasons or to evidence findings, what is potentially useful to others or can’t be recreated. You may also be under obligation to destroy certain data due to consent agreements or commercial non-disclosure restrictions.
The Digital Curation Centre has guidance on how to select what data to keep.
Let’s close by looking briefly at the EUDAT service suite and how it helps with data management and sharing
EUDAT offers a pan-European solution, providing a generic set of data services. These are being built in close collaboration with user communities.
The services assist researchers to store, manage and process the data through-out the active phase of research, and also help to archive data and make it discoverable to others.
The B2DROP service helps you to syncronrise and exchange research data like Dropbox; B2STAGE helps you get data to computation when processing and analysing data; B2SAFE helps you to replicate the data safely; B2SHARE is a repository to archive the data and share it with others; and B2FIND is a cataloguing service that allows you and others to find relevant data.