What the future holds: Metadata and Document Repositories Stanislav Nazarenko (OKI)
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The document discusses the advantages and challenges of digital repositories for storing and preserving information. It notes that while digital media is easy to store, copies are less common than assumed due to outdated hardware and formats. This can threaten a "digital dark age" where information is inaccessible. It also addresses issues like private repositories only existing while funded and public research often behind paywalls. Potential solutions proposed include linked open data, blockchain technology, and following FAIR principles to make repositories more open, sustainable, and collaborative.
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In this talk we will use our experiences in FAIRDOM to explore the political, economic, social and technical, social practicalities of Trust.
[1] Wilkinson et al (2016) The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
[2] Wolstencroft, et al (2016) FAIRDOMHub: a repository and collaboration environment for sharing systems biology research Nucleic Acids Research, 45(D1): D404-D407. DOI: 10.1093/nar/gkw1032
Open Science Governance and Regulation/Simon Hodson
Simon Hodson discusses key aspects of open science including open access to research outputs, FAIR data principles, and engaging society. Open science requires addressing technical, funding, skills, and mindset challenges. While data created with public funds should be open by default, legitimate exceptions exist for commercial interests, privacy, and security. Criteria for data appraisal, selection and preservation need input from disciplines. Barriers to data sharing include concerns over misuse and lack of credit, while benefits include advancing research and building institutional reputation. Open science governance is needed to balance openness with other priorities like intellectual property, and define roles and responsibilities among stakeholders.
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This document summarizes Simon Hodson's presentation on open science and FAIR data developments globally. Some key points:
1) There is a growing policy push for open research data, with funders and organizations adopting data sharing policies based on FAIR data principles of findability, accessibility, interoperability, and reusability.
2) Initiatives are working to build the international ecosystem of open science, including components for reporting research outputs, persistent identifiers, data standards, data repositories, and criteria for trustworthy data.
3) The African Open Science Platform aims to lay the foundations for open science in Africa through frameworks for policy, incentives, training, and technical infrastructure development.
4) International
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New challenges for digital scholarship and curation in the era of ubiquitous ...
A keynote presentation that I gave at the The 4th African Digital Scholarship and Curation Conference (see: http://www.nedicc.ac.za/test/Programme.aspx) on 16 May 2011.
Open Data in a Global Ecosystem
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- Key points discussed include the history and changing nature of computational biomedicine, implications of large initiatives like the Precision Medicine Initiative, and how funders should respond by encouraging global open science and sharing infrastructure and policies.
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Basics of Electrocardiogram
CONTENTS
●Conduction System of the Heart
●What is ECG or EKG?
●ECG Leads
●Normal waves of ECG.
●Dimensions of ECG.
● Abnormalities of ECG
CONDUCTION SYSTEM OF THE HEART
ECG:
●ECG is a graphic record of the electrical activity of the heart.
●Electrical activity precedes the mechanical activity of the heart.
●Electrical activity has two phases:
Depolarization- contraction of muscle
Repolarization- relaxation of muscle
ECG Leads:
●6 Chest leads
●6 Limb leads
1. Bipolar Limb Leads:
Lead 1- Between right arm(-ve) and left arm(+ve)
Lead 2- Between right arm(-ve) and left leg(+ve)
Lead 3- Between left arm(-ve)
and left leg(+ve)
2. Augmented unipolar Limb Leads:
AvR- Right arm
AvL- Left arm
AvF- Left leg
3.Chest Leads:
V1 : Over 4th intercostal
space near right sternal margin
V2: Over 4th intercostal space near left sternal margin
V3:In between V2 and V4
V4:Over left 5th intercostal space on the mid
clavicular line
V5:Over left 5th intercostal space on the anterior
axillary line
V6:Over left 5th intercostal space on the mid
axillary line.
Normal ECG:
Waves of ECG:
P Wave
•P Wave is a positive wave and the first wave in ECG.
•It is also called as atrial complex.
Cause: Atrial depolarisation
Duration: 0.1 sec
QRS Complex:
•QRS’ complex is also called the initial ventricular complex.
•‘Q’ wave is a small negative wave. It is continued as the tall ‘R’ wave, which is a positive wave.
‘R’ wave is followed by a small negative wave, the ‘S’ wave.
Cause:Ventricular depolarization and atrial repolarization
Duration: 0.08- 0.10 sec
T Wave:
•‘T’ wave is the final ventricular complex and is a positive wave.
Cause:Ventricular repolarization Duration: 0.2 sec
Intervals and Segments of ECG:
P-R Interval:
•‘P-R’ interval is the interval
between the onset of ‘P’wave and onset of ‘Q’ wave.
•‘P-R’ interval cause atrial depolarization and conduction of impulses through AV node.
Duration:0.18 (0.12 to 0.2) sec
Q-T Interval:
•‘Q-T’ interval is the interval between the onset of ‘Q’
wave and the end of ‘T’ wave.
•‘Q-T’ interval indicates the ventricular depolarization
and ventricular repolarization,
i.e. it signifies the
electrical activity in ventricles.
Duration:0.4-0.42sec
S-T Segment:
•‘S-T’ segment is the time interval between the end of ‘S’ wave and the onset of ‘T’ wave.
Duration: 0.08 sec
R-R Interval:
•‘R-R’ interval is the time interval between two consecutive ‘R’ waves.
•It signifies the duration of one cardiac cycle.
Duration: 0.8 sec
Dimension of ECG:
How to find heart rhytm of the heart?
Regular rhytm:
Irregular rhytm:
More than or less than 4
How to find heart rate using ECG?
If heart Rhytm is Regular :
Heart rate =
300/No.of large b/w 2 QRS complex
= 300/4
=75 beats/mins
How to find heart rate using ECG?
If heart Rhytm is irregular:
Heart rate = 10×No.of QRS complex in 6 sec 5large box = 1sec
5×6=30
10×7 = 70 Beats/min
Abnormalities of ECG:
Cardiac Arrythmias:
1.Tachycardia
Heart Rate more than 100 beats/min
Health Tech Market Intelligence Prelim Questions -
The Ultimate Guide to Setting up Market Research in Health Tech part -1
How to effectively start market research in the health tech industry by defining objectives, crafting problem statements, selecting methods, identifying data collection sources, and setting clear timelines. This guide covers all the preliminary steps needed to lay a strong foundation for your research.
This lays foundation of scoping research project what are the
Before embarking on a research project, especially one aimed at scoping and defining parameters like the one described for health tech IT, several crucial considerations should be addressed. Here’s a comprehensive guide covering key aspects to ensure a well-structured and successful research initiative:
1. Define Research Objectives and Scope
Clear Objectives: Define specific goals such as understanding market needs, identifying new opportunities, assessing risks, or refining pricing strategies.
Scope Definition: Clearly outline the boundaries of the research in terms of geographical focus, target demographics (e.g., age, socio-economic status), and industry sectors (e.g., healthcare IT).
3. Review Existing Literature and Resources
Literature Review: Conduct a thorough review of existing research, market reports, and relevant literature to build foundational knowledge.
Gap Analysis: Identify gaps in existing knowledge or areas where further exploration is needed.
4. Select Research Methodology and Tools
Methodological Approach: Choose appropriate research methods such as surveys, interviews, focus groups, or data analytics.
Tools and Resources: Select tools like Google Forms for surveys, analytics platforms (e.g., SimilarWeb, Statista), and expert consultations.
5. Ethical Considerations and Compliance
Ethical Approval: Ensure compliance with ethical guidelines for research involving human subjects.
Data Privacy: Implement measures to protect participant confidentiality and adhere to data protection regulations (e.g., GDPR, HIPAA).
6. Budget and Resource Allocation
Resource Planning: Allocate resources including time, budget, and personnel required for each phase of the research.
Contingency Planning: Anticipate and plan for unforeseen challenges or adjustments to the research plan.
7. Develop Research Instruments
Survey Design: Create well-structured surveys using tools like Google Forms to gather quantitative data.
Interview and Focus Group Guides: Prepare detailed scripts and discussion points for qualitative data collection.
8. Sampling Strategy
Sampling Design: Define the sampling frame, size, and method (e.g., random sampling, stratified sampling) to ensure representation of target demographics.
Participant Recruitment: Plan recruitment strategies to reach and engage the intended participant groups effectively.
9. Data Collection and Analysis Plan
Data Collection: Implement methods for data gathering, ensuring consistency and validity.
Analysis Techniques: Decide on analytical approaches (e.g., statistical
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What the future holds: Metadata and Document Repositories Stanislav Nazarenko (OKI)
- 1. What the future holds: Metadata and Document Repositories Open Access: Tackling health inequalities 25 October 2016
- 2. Information in Digital Age Advantages of digital media Easy to store, 100% lossless preservation, easy to copy Worldwide access Realities of digital preservation Less copies than we think Deterioration of storage media, outdated hardware to read it (tapes, floppy disks, CDROM etc) Legacy formats – old software can’t run on modern PCs Threat of the Digital Dark Age Challenges with access to information Private data repositories exist only as long as funding is provided Research funded by the public is often available only behind paywalls Digital divide and barriers to access public interest information We have solutions to many aspects of information inequality but it requires everyone to participate and change their data management processes
- 3. Example: Research Data 80% of researchers will not be able to provide the data 3 years after completing the research. * Prof. Dr. Mark Ferguson, Science Foundation Ireland * we believe that is probably a slight understatement
- 5. The Future of Document Repositories Technology LOD (Linked Open Data) IPFS (Inter-Planetary File System) Blockchain (technology behind Bitcoin) Benefits Shared storage model: no single point of failure, data owned by all parties Transparency in regards to provenance, modification: not through trust but as a mathematical proof Participation and engagement: direct collaboration and decision-making
- 6. Your Role Sustainable data management practices Open by default Consistent meta-data FAIR principles http://ec.europa.eu/research/press/2016/pdf/opendata-infographic_072016.pdf