Science topic

Information Dissemination - Science topic

Information Dissemination is the circulation or wide dispersal of information.
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I work as the lead data scientist at Loops - a startup that builds an analytics platform for product and growth teams. The platform scans our clients databases and generates causal insights such as "Increasing engagement with feature X can increase conversion within the first 2 weeks by 2.3%". The problems we tackle are set in diverse problem setups such as continuous time dynamic treatments, large scale regression discontinuity designs and dynamic treatment regimes. The domains in which those problems are posed come from clients of all sizes and from a wide spectrum of industries such as education, entertainment etc.
I'm looking for collaborations with Academia to publish papers on some of those methods.
I'll note that we already have working experience with Academia (inc signing NDAs, de-identified data sharing etc).
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Hello, Iyar Lin!
Sounds interesting. Can we talk about this?
I am currently working on research applying the AHP Method to a group of indicators to improve a method (VERSALTO) that I created to plan and analyze the communication macro strategy and marketing KPIs for the infoproduct launch process.
Furthermore, I am an Industrial Engineer, working in the Brazilian Navy, developing myself in the area of ​​Operational Research.
It would be a pleasure to talk with you.
Best regards,
L.C. Andrade.
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Data sharing question: spike-wave discharges in humans, cats or dogs
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Teşekkür ederim!
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No
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While blockchain technology offers significant security advantages for data sharing, it's not immune to attacks. Here are some ways attacks can occur during data sharing on a blockchain:
Data Exposure Attacks:
  • Collusion Attack: Malicious actors might collude with authorized users or compromised storage servers to gain access to sensitive data stored off-chain, even if the on-chain record remains secure.
  • Side-Channel Attacks: Attackers exploit information leaks that happen outside the blockchain, like through metadata or transaction timing, to infer sensitive data.
  • Insider Threat: Users with authorized access, including system administrators or smart contract developers, might abuse their privileges to compromise data or manipulate transactions.
Data Integrity Attacks:
  • Double-Spending: In certain types of blockchain implementations, attackers attempt to spend the same digital asset twice, potentially affecting data related to financial transactions or supply chain tracking.
  • Transaction Forgery: Attackers manipulate transactions to appear valid by forging signatures or exploiting vulnerabilities in smart contracts. This can alter data stored on the blockchain.
  • Sybil Attack: An attacker creates a large number of fake identities to gain control over the consensus mechanism and potentially manipulate data on the blockchain.
Privacy Concerns:
  • Linkability: While sensitive data itself might be stored off-chain, the on-chain record can still reveal information about data sharing relationships, potentially identifying participants and compromising privacy.
  • Denial of Service: Attackers might flood the network with transactions, making it difficult for legitimate users to share data effectively.
Additional factors to consider:
  • The specific type of blockchain platform: Different blockchains have varying levels of security and features, making them more or less vulnerable to certain attacks.
  • The implementation of data sharing protocols: Secure protocols and cryptographic techniques are crucial for protecting data during transfer and storage.
  • The human element: User awareness and proper security practices can significantly reduce the risk of human error that could lead to data breaches.
It's important to remember that blockchain technology is constantly evolving, and developers are addressing potential vulnerabilities. Implementing best practices for data security, choosing robust platform and protocols, and raising user awareness can help mitigate risks and ensure secure data sharing on a blockchain.
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Hi All,
I’m often asked to suggest academic Design Journals, but find it hard to find a 'one-stop' list so researchers/ students can review and select. I’ve started a rough list in no particular order (link below). Any Design related journal suggestions would be welcome, from Innovation to engineering, education to ergonomics, UX to Design history, etc. Discipline-specific or Interdisciplinary.
Please offer some suggestions and Il add them to the list. Looking for quality, peer-reviewed offerings.
Thanks alot!
P.J.
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Hi all
I've added all your suggestions to the list of Design Journals and created a clickable table of categories for easier search:
Please feel free to add and share.
The categories include:
  • General Design Journals
  • Design in Business/ Management/ Strategy/ Innovation
  • Built Environment / Architecture/Interiors/ Planning
  • Social Design/ Sustainability
  • Product Design/ Industrial Design/ Ergonomics
  • UX/ HCI
  • Visual Communications/ Information Design
  • Fashion/ Textile Design
  • Art/ Philosophy
  • Design and Policy
  • Design History
  • Design and Engineering
  • Prototyping /3D Printing
  • Design and AI
  • Design and Health
  • Design Education
  • Design Creativity and Craft
  • Design and Food
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Dear Researchers and Academicians,
We are pleased to announce the Call for Papers for our upcoming book on "Secure Big-Data Analytics for Emerging Healthcare in 5G and Beyond: Concepts, Paradigms, and Solutions". The book aims to explore how big data analytics (BDA) can be used securely in emerging healthcare settings leveraging advanced technologies such as 5G networks.
The following tracks will be covered:
Chapter 1: Introduction to Secure Big-Data Analytics in Emerging Healthcare
Chapter 2: Big Data Analytics (BDA) in Healthcare: Security Challenges in Healthcare Big-Data Analytics
Chapter 3: Overview of 5G and beyond Networks: Limitations of 4G-LTE
Chapter 4: Privacy-Preserving Techniques for Big-Data Analytics in Healthcare
Chapter 5: Secure Data Sharing and Collaboration in Healthcare Analytics.
Chapter 6: Trust and Governance in Healthcare Analytics with secured BDA and operational Challenges.
Chapter7 : Decentralized BDA Healthcare Infrastructures.
Chapter8 : Integration of B5G with Big Data forHealthcare:
Big Data-Driven Networking.
Chapter9 : DistributedAnalyticsforSecureandScalableHealthcareApplications,
Chapter10 : CaseStudiesandBestPracticesinSecureHealthcareAnalyticsUseCases.
Important Dates:
Abstract submission deadline - September 10th ,2023
Full chapter acceptance notification - Oct 15,2023
Please note that all submitted papers will undergo a rigorous double-blind review process by an international committee consisting of subject matter experts with significant research experience leading towards better research output
Please prepare the file for abstract for inclusion
Prepare a good chapter of 20-25 pages as per the IET author guidelines. Please refer the guidelines at https://www.theiet.org/publishing/publishing-with-iet-books/guides-and-resources/
Best regards,
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Interesting.
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Data sharing with other researchers via a public depository became common in journal article publication. Journal editors and reviewers commonly pressure an author to share the data used for an article, although it is not necessarily mandatory. Data sharing can ensure transparency.
An author, however, makes tremendous efforts, and sometimes, it costs money to collect the data.
Do you think being pressured to share data with other researchers via a public depository for article publication is fair?
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I personally am for data sharing, but I also use almost exclusively secondary data. Since shortly after my first publications, I have included a link in every publication to a website where I upload all of my data, code, and log files. I think transparency is important in research. Having replicated studies before, I find that minor decisions made can change the ultimate conclusions or some research is just not replicable (for whatever reason).
If you want to work in a true “scientific” pursuit of knowledge then it should not matter if others have access to the data. It is all in pursuit of knowledge and understanding of whatever phenomenon we study. If someone else gets to a paper before me, even using data I collected, then so be it. If they answer the question I wanted to know the answer to, great thank you.
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Are there international projects where you can research birds and share data, create joint articles? For example, it concerns phenology, bird nesting which is inhabited by artificial nests box or hollows?
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Never collaborate or share data because it will be stolen and you will lose control of the study. Try to publish on your own and then your articles will be more creative and elegant and keep your data confidential, even from supervisors, until after publication in HI journals :)
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i want to know other methodology that can be used apart from sharing with multi-party access control?
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Sure! There are several other methodologies that can be used to preserve privacy when sharing data in cloud computing, besides multi-party access control:
  1. Data encryption: Data encryption is a method of converting plain text into a ciphertext that can only be deciphered with the correct encryption key. This ensures that the data remains confidential, even if it is intercepted or accessed by unauthorized users.
  2. Data anonymization: Data anonymization is a process of removing personally identifiable information (PII) from data before it is shared. This helps to preserve the privacy of individuals, as it ensures that their identity cannot be linked to the data.
  3. Data fragmentation: Data fragmentation is a method of dividing sensitive data into smaller fragments and distributing those fragments across multiple servers or storage devices. This helps to ensure that sensitive data cannot be accessed by unauthorized users, even if they are able to access one of the servers or storage devices.
  4. Homomorphic encryption: Homomorphic encryption is a method of performing computations on encrypted data without having to first decrypt it. This helps to ensure that sensitive data remains confidential, even when it is being processed by third-party service providers.
  5. Access control policies: Access control policies specify the conditions under which data can be accessed and processed. Access control policies can be used to restrict access to sensitive data, ensuring that only authorized users are able to access it.
  6. Differential privacy: Differential privacy is a method of preserving privacy by adding random noise to data before it is shared. This makes it difficult for unauthorized users to identify specific individuals or patterns in the data, while still allowing for meaningful analysis of the data.
These are just a few of the methods that can be used to preserve privacy when sharing data in cloud computing. Each method has its own strengths and weaknesses, and the most effective approach will depend on the specific needs of each organization and the data being shared.
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Another example of priorities in the wrong place. Considering how many major findings have not been reproducible, why are we not at the point where independent labs are required to show reproducibility before a finding is published? Of course, because of all fields, science is one of the most competitive, and sharing data is out of the question. We should be working collaboratively for the betterment of society, but that will take a shift in integrity that appears impossible in the current climate.
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Mendel showed that flower colour in pea plants can be inherited. The flower in the centre is a cross between the pink flower and the white flower.
Dear @Adam L Vanwert
I would like to quote Gregor Mendel's "Experiments on plant hybridization" which he presented to the Natural History
Society of Brno (now in the Czech Republic) in 1865. Needless to mention that Mendel was a careful scientist; cautious, patient and committed to data. These qualities allowed him to make discoveries that have stood the test of time. Although Mendel had no knowledge of genes, chromosomes or genomes, he laid the foundations for genetics. What he reported can be reproduced anywhere by any biologist. We value and remember his findings.
Research reproducibility is now not so common. "Modern" researchers make narratives first; then they want data to fit their narratives. Mendel generated data through his carefully planned experiments and observation, and then tried to explain his findings, and hence, there is 100 percent reproducibility, and most of us value it.
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For instance, in urban transportation there are several participants, e.g., mobility service providers, infrastructure and traffic management centres, passengers, local-, and state governance etc. Each participant collect/generate- and store data. The level of integration would be higher if either
  • the participants share their data with each other (which would be quite idealistic), or
  • there are a data platform, to where participants transfer their data (this can be a data warehouse for example).
High integration would be advantageous, as development projects require data for efficient execution. The main reason of my related research is to enable efficient, standardized and data-based decision support for transportation development projects.
I've thought about interpreting data systems as graphs and calculate the level of integration, based on the number of different connections/relations between the participants, but this may result in a rather decentralised/overcomplicated system, in which, the more connections are, the higher the integration is.
I would aim to
  • estimate the optimal number of connections between participants, and
  • develop a data warehouse framework, where participants do not need to communicate but they transfer their data to the warehouse, in which the data is stored in a structured manner.
In the next step, maybe compare the two solutions. I know there are several policy/management related barriers of data sharing (specially between the participants), this way, the data warehouse seems like a better idea. Of course, sharing data with the warehouse may assume some central legal actions (e.g., law enforcement of data sharing).
Thank you very much for your answers in advance!
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With GDPR, transparency is key factor in data sharing. I am looking for opinions on the topic. Any research that shows how let’s say functionality X raises the transparency with Y%?
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Dear Anelia Kurteva,
See some auxiliary data below:
What are the GDPR guidelines?
GDPR's seven principles are: lawfulness, fairness and transparency; purpose limitation; data minimisation; accuracy; storage limitation; integrity and confidentiality (security); and accountability. In reality, only one of these principles – accountability – is new to data protection rules.
What are the most important elements of the GDPR?
  • Rights of Individuals.
  • Right to be Informed.
  • Data Protection Officer (DPO)
  • Obligations on data processors.
  • Data Protection Impact Assessment and data breach response.
  • The value exchange – the consumer trust payback.
What are the 3 main goals of the GDPR?
We see the intention behind the new aspects to the GDPR as being easily grouped into three major concepts – transparency, compliance and punishment.
Which three principles would affect any data breach?
A personal data breach can be broadly defined as a security incident that has affected the confidentiality, integrity or availability of personal data.
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My name is Iana Rezlauf and I would like to invite German and US scientists to take part in the interview as part of my Ph.D. project "Research data sharing between the EU and the U.S.” at Leibniz University Hannover, Germany. In my dissertation, I explore the legal challenges of research data sharing between scholars from the European Union and the United States that are becoming particularly important at the time of the COVID-19 pandemic. There are two main criteria for selecting interview partners: 1) Scientists working with personal data (various disciplines can be considered); 2) Scientists participating in the EU-U.S. research data exchange (within joint projects and private communication). For more details please send me a message. Thank you in advance for supporting my project! :-)
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yes intrested
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In management theory and business ethics, Spiral Dynamics (SD) is a model of the evolutionary development of individuals, organizations, and societies. SD is renowned as an example of applied memetics. The holistic memetic (turquoise) brings a collective of individuals into harmony. The focus is on the sum of the units, perceived and promoted as integrated systems. GAIA-X as a data and service platform could be an opportunity to advance Europe as a systemic entity. Nevertheless, GAIA-X platform is not without controversy.
What do you think about it?
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Steffen Kaup actually It is described as being supported by representatives of science, business and administration from Germany and France, together with other European partners. The name of the project is derived from one of the first Greek deities, Gaia. but it may unwittingly constrain aspects of social behaviour.
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Dear colleagues,
I am very interested in hearing your opinion about using data collected by others.
Nowadays it is somewhat common to share data after publishing a paper. That data is available in different websites, such as repositories or at the author's personal website.
Occasionally, authors specify themselves if others can use their data or not (including which uses they allow). In other instances, data is very old or the allowed uses are not specified.
It goes without saying that proper acknowledgement should be made when using others' data. That includes at a minimum a citation. I am not sure about additional steps regarding the use of others' data. Should the authors be always contacted regardless of whether the dataset is available online or not? Should one expect a co-authorship when using someone else's data? If a dataset is very old and the authors are retired, can the data still be used? Do these expectations depend on the use of the data?
I would like to know people's opinions about how acknowledgement should be made and how one should go about using other researchers' data.
Cheers,
Ana
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I agree with Imran Anwar , in that want should always first seek permission to use the data and cite the researchers accordingly, but you one not include them as co-authors since the mere collection of data is insufficient to warrant this!
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We're currently planning a pilot study to explore movement behaviour within urban and sub-urban greenspace, as well as the contribution of greenspace-based physical activity to total weekly physical activity. Participants will be given accelerometers to capture movement, but we're looking for a good (but affordable) method of capturing location. Dedicated GPS devices remain prohibitively expensive for this project, with a potential solution available through using smartphone data collection.
I'd be really interested and grateful to receive recommendations for smartphone apps that would facilitate this capture. Naturally, I'm interested in accuracy, but would be willing to compromise somewhat in order to obtain an app that is cross-platform, simple to use and share data, and possesses precedence for research use. The app also needs to be ethically sound with regard to data sharing and privacy. The choice in available apps is overwhelming, and any recommendations would be most welcome, especially those based on experience.
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Also check..Where You at? Using GPS Locations in an Electronic Time Use ...
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The question says it all. I need to deposit Lipidomics data for manuscript submission and subsequent data sharing.
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Thanks a lot! You confirm my first choice !
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I'm in the midst of developing instrument to assess the impact of pandemic crisis on corporate governance. My methods is content analysis in which I wish to study the information (impact of pandemic on CG) disclosed in the Annual Report of the companies.
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I am doing species niche modeling of an amphibian species. I have 151 presence observations, after filttering points that were too close (< 1 km). I am using data presence from GBIF, iNaturalist, and presence data shared by colleagues. However, I am worried about sampling bias, because it is an opportunistic kind of approach. Therefore, I am trying to find a way to correct sampling bias to better our models.
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When the sample size is large, naturally the error will get minimized. Further, if you collect data on relevant foraging variables, they should be subjected to tools such as PCA/ DFA, which will result in niche segregation.
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Data sharing increases utilization of data requiring protection of privacy of the data owner.
There are a number of regulations that try to make sure that data custodians ensure the privacy of data subjects. However, these regulations do not seem to hold during pandemics, not to mention data privacy dangers that arise due to limited effectiveness of privacy systems as well as algorithms' data leaks.
What are the possible dangers of data privacy during corona pandemic that you think of?
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A very good substantive question. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the scale of digitization and internationalization of remote communication processes, remote work, e-learning, online shopping and payments, etc., and many other aspects of communication processes, economic processes, increased, financial, social etc. The scale of using ICT, Internet and Industry 4.0 information technologies in these processes has increased. On the other hand, there are doubts whether the pace of improvement of cybercrime risk management systems, the risk of data transfer in the Internet, the risk of viruses and viruses and malware in smartphones used by users of the mobile internet banking application, etc. is keeping pace with the current progress determined by the increase in the digitization and Internetisation of communication processes. , economic, financial, social and other processes.
Best regards, Have a nice day, Stay healthy!
Dariusz Prokopowicz
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Hi All ,
Please can you recommend a free database (i already use yahoo finance but it's not avaible) ,or if someone has already worked on this index for the period of 2015 it would be great to share data with me thanks
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Or some formative data to share? Interested in your inclusion of parents in your study...we are looking at the treatment of mental illness in childhood and the impact of parents on this subject.
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it is going to differ according to the various models of delivery globally and resource availability. Has anyone explored the use of Open Dialogue?
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Respected RG members,
Journals have started encouraging share data relevant to the research on public repositories at the time of submission. Does anyone know what data should be shared and examples of such repositories?
Thanks in advance!
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Hi Sanaa,
Yu would usually check the website of the publisher or journal. In the UK you can see publisher policies on this website [ https://v2.sherpa.ac.uk/romeo/ ]. BW Matt
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Hi,
I am trying to use Cochrane Risk of Bias Tool for a systematic review. But I couldn't figure out how to use the tool to score a single study.
Can someone who previously wrote systematic reviews and have risk analysis data share with me?
thank you so much
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In your question you do not specify what tool you are using, for what type of study. Have you already tried using ROB-2? This is the new cochrane tool to assess risk of bias in randomized clinical trials. It is at: https://sites.google.com/site/riskofbiastool/welcome/rob-2-0-tool?authuser=0
For observational studies you can use ROBINS-I.
Could you ask a more specific question? maybe I can help you
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Dear Colleagues!
Do you think a modern researcher should independently make efforts to spread awareness in the world around him about the results of his scientific activity?
If so, how much will it: a) contribute to his research activity, b) interfere with it? Is such an activity necessary for the researcher himself and the organization with which he is affiliated?
Is it possible (and how?), from your point of view, to organize this process effectively?
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The dissemination of information on the results of scientific activities is currently carried out through new online media, databases indexing scientific publications, scientific social media portals (e.g. this Research Gate portal) and other new online media.
Greetings,
Dariusz Prokopowicz
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Dear all, motivated by a variety of MoBI studies currently being conducted in our group, I am thinking of proposing a new Brain Imaging Data Structure (BIDS) extension that addresses MoBI-specific needs for data sharing. This would also encompass flatscreen navigation data or 2D position streams from more conventional studies, so we can easily compare between recordings from different setups. I believe that the community will benefit a lot from clarifying properties specific to recording of spatial data. What are your thoughts on this idea? Is there any ongoing work for BIDS extension for movement data, or would you be interested in creating a new one?
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Hello Martin Knöll , this is an interesting idea. I have not looked into yet which data format / metadata will be useful for processing position data. We are now working on a Google Doc for BIDS specifications for motion data, which currently focuses on motion on smaller scale. Here is the link to Google Doc https://docs.google.com/document/d/1iaaLKgWjK5pcISD1MVxHKexB3PZWfE2aAC5HF_pCZWo/edit?usp=sharing and the thread on GitHub to give you an impression on how the discussion is developing https://bids-specification.readthedocs.io/en/latest/06-extensions.html
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Any one can share data sheet of HF transformer? Thanks in advance.
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you can find the required transformer design parameters at
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In the Mental Health Department of the Navarre Public Health Service a Group Therapy Unit has been recently created (August 2018). We are gathering information about management, cost-effectiveness and clinical efficacy, but we would like to know if there are other similar experiences around the world.
We do know that group therapy is a common service provided by mental health departments, but always within wider inpatient or outpatient units that also provide other treatments.
Our inquiry is if there are other specific Group Therapy Units that specialize in providing only group format interventions.
We are interested in sharing data, management indicators identified, clinical and process variables assessed etc.
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It will be hard to conduct group therapy virtually!
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I need to now how to write a literature review on information dissemination
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I need geospatial multi-year Climatic data (rainfall, temperature, barometric pressure, wind, solar etc) of Pak. Plz either share data or suggest download website.
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Ákos Bede-Fazekas thanks! yes, i need raw data. I will try KNMI
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All,
I'm looking for material properties on aluminium alloy 5000 and 6000 series. In particular, strain-life data and toughness.
Could anyone please point me out to a reliable data source or maybe someone already have data to share?
Thank you.
Cheers,
Arturo Francese
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Hi Soheil, please what do you mean in the same directory?
Thanks, Arturo
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Data and accessibility services for persons with disabilities
Many people have privacy concerns particular data as more personal and sensitive than others, I think people's privacy concerns differ according to the purpose for which data is collected, with the contrast between service and surveillance purposes most paramount.
People must know for which purpose data is used and weigh the benefits that providing their data may offer them. When these benefits are of immediate personal relevance e.g. accessibility, medical, access services, I think most people are willing to share their data.
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"How important is the sharing of personal data for persons with disabilities?" is a complex question.
Data, I believe can be categorized into three classes.
1 - Personal (The stuff I don't want others to see),
2 - Private (The stuff that's okay to share with some others - Groups),
3 - Public (The stuff anyone can view).
Having a disability can make this modern age more difficult to navigate.
Many disabled people(s), Myself being one of them, have a handicap (for lack of better words) that restricts them from living average digital life. Whether having a physical or mental disability governs how easily it is for them to pickup new technology, understand it, and/or drive it to the next level, and is greatly influenced by current technologies, finance, and their abilities to assimilate technology. Not without saying, this is in vast contrast to the non-disabled that take these issues for granted.
It is very important to me (Being a physically disabled middle aged man), for me to be able to access and share my ideas and knowledge, as well as be able to access knowledge of new or old Technology, that makes our lives more complex every day as technology grows. However, this forces us into an everlasting upward slope to take in these technologies. Not just to understand how to use them (Which makes our lives easier and harder at the same time), but to also understand how to fix them. It is hard enough for the older generation that have no understanding of new technologies (Which they would rather it stay that way, and is a disability in it's own right), but to have other disabilities makes it more necessary for disabled individuals to share and access data across a wide variety of mediums, than not.
Further, disabled people often have their disability get in the way of doing average every day things, let alone having to understand new technologies that can be challenging without a disability being involved, in it's own right.
So, I believe the question should be:
How important is the protection of and security from, and for them to be, in relation to them; sharing of personal data for persons with disabilities, and the aging?
After all, senior citizens are constantly being phished, smished, and duped into giving out their credit cards and social security numbers among other sensitive details that are needed to access financials. And the aging do not understand that simply telling someone your dog's name, to a hacker can be very dangerous if your password is your dog's name.
This age of technology gets more complicated each and every day. We struggle just to have a comprehensive working knowledge to be able to work with it. Disabilities get in the way of carrying groceries to my car, let alone trying to access E-mail when my sciatic nerve is acting up. We either adapt and overcome, or we are left by the way side of this amazing modern lifestyle intertwined with technology, even when we do not see it.
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Historical data will be preferable, however cross-sectional data will also be helpful. The reason I prioritize historical data of the share of automation use in US manufacturing is due to the fact that I am interested in seeing the trend of increased use of automation from past to present. Also, county-level data would be perfect for the purposes of my research. Automation and capital intensity can be used interchangeably.
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Hello fellow scientists!
Data sharing between labs collaborating on funded projects is becoming more difficult with time as some institutions block access to regular cloud solutions such as Dropbox or google storage to name a few. What solutions are you using for non-hipaa subjected data? Can you name the top 2 and the name of your institution? I am trying to initiate a discussion with our IT department and want to back it with data on what our community is using. Thanks for your help!
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Following Arnaud Falchier !!
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I try to investigate the relations between fitbit data like heart rate and step count and physiological status, but do not have enough data. Can anyone share the Fitbit minute-to-minute data (at least one month) of certain group (both healthy group and patients group) if you have published your work? If you have any suggestions on how to get this kind of data, please also let me know. Thanks.
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Thank you, Roberta. I will try it.
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Hello, I do have data on avian diversity in Gannoruwa forest. I am happy to share with this project. Also, I compiled a checklist on insect flower visitors in Mihinthale. You can cross tally my data with your inventory as well.
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I do not have data for share with you, but I could help you to analyze your data of flower visitors (perhaps with an approach at network level).
Regards,
Cristian
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We use to share data in many research groups, to be used for research purposes, teaching..etc. therefore, we are looking for a kind of agreement between the parties. Especially that kind of agreements that preserve the right of data provider as well as the contributors, mainly when it comes to access limits and degree of freedom of publish the data analysis results or for beneficial purposes.
We are appreciate all your recommendations and suggestions.
Thank you,
Omar AlThuwaynee.
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Acdemia is good resource like Researchgate
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As data sharing is becoming the norm, will you be willing to share the data of your research in open repositories?
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I agree with sir Amit, If your data has been published, i think its ok to share.
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Free access to information should prevail on the Internet.
This is the main factor in the dynamic development of many websites, new internet services, the growth of users of social media portals and many other types of websites.
In my opinion, all information that can be publicly disseminated should be available on the Internet without restrictions, universally and free of charge.
Please, answer, comments.
I invite you to the discussion.
Best wishes
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The issue of the possibility of publishing certain content, texts, banners, comments, etc. on the Internet and free information gathering are the key determinants of the development of information services on the Internet. On the other hand, the largest online technology corporations receive revenues mainly from paid marketing services. The Internet environment is therefore a kind of a mix of free and paid information and marketing services, which simultaneously, simultaneously and simultaneously in a mutually connected way are developed by various Internet companies.
Best wishes
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Hi,
I need raw PPG signal for a project I am working on. I have tried searching for a pulse oximeter online but many do not allow access to the raw PPG signal. I am looking for a device which can:
a) Store raw PPG signal, not only heart rate.
b) Have some data sharing capability, either wired or wireless.
Thanks a lot!
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Dear Darshan Kalola,
The core of pulse oximetry devices is nowadays the software that distills the SpO2 percentage from the raw data. Manufacturers create their own proprietary algorithms for their devices. By providing the raw data of all PPG channels plus the result of such proprietary software, reverse engineering becomes a risk. Hence, usually medical grade pulse oximeters will generally only provide a "polished" PPG pulse wave output (if any).
The best way to get access to raw PPGs is buying an evaluation kit from manufacturers that make off-the-shelf integrated circuits for pulse oximetry.
There are several of these:
Analog Devices, APM Korea, Maxim, Texas Instruments, and others.
Research institute Imec (my employer) also makes integrated circuits for SpO2, but for projects that push the technologic frontier of wearable monitoring, where we combine ECG, Bio-impedance spectroscopy, SpO2 and other physiological parameters all on a single chip (4.8×4.8mm) which also contains memory, a processor and wireless connection and runs for days on a single coin battery (Museic3 chip).
But, as said, for simple purposes best buy an off-the-shelf chip evaluation board.
Best regards,
Fokko Wieringa, Principal Scientist Imec Connected Health Solutions.
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The trend recently is towards sharing data in open data repositories. Some journals require that data be sent to such repositories as articles are submitted. Considering the pros and cons of data sharing, how willing will you as a researcher be willing to share the yet unexplored data of your research vis-à-vis the requirements for such submission by some journals?
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For me I am kind of tied between the practice of the scientific community and the need to retain the data for subsequent use. Should I release the data in an open repository, ideas I intend publishing as an article might be done by another person before I am ready for writing and release of same.
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Hello All,
Sorry if this is a really basic question but I'm struggling with when to correct my simple follow-up analyses.
---Background---
I have 2 groups (experimental and control) and on one task am provided with a within-subjects DV with 3 levels (L1, L2, L3).
While I have conducted a mixed-factorial repeated measures ANOVAs to answer the bulk of my research question, I have followed up my main effects / interactions with multiple paired t-tests. These tests compare L1-L2, L1-L3, L2-L3 for both groups (e.g. 6 paired tests). I have Bonferroni corrected for 6 comparisons - no problem.
I now want to ensure that the effects observed in L1, L2, and L3 were significantly above 0. Thus I have elected to run 3 single-sample t-tests for each group (6 tests). i.e. L1 for experimental, L1 for control, l2 for experimental ...etc.
---The Problem----
What I am struggling with is whether I also have to Bonferroni correct my alpha for these analyses. One the one hand, multiple tests increases the likelihood of type 1 error. However, each DV is being used discretely and not being 'double-dipped' in the same way as paired or independent group t-tests that may use a DV multiple times.
I know this is STATS101 but I've gotten myself turned around in circles. Should I correct in this case? i.e. does the Bonferroni correction occur on the basis of # of tests conducted at once / overall even when they don't share data? And if so, is it a correction for 6 (# of t-tests), 3 (# of t-tests for each group), or 2 (#of times each variable is separately tested e.g. L1 for experimental and L1 for controls)?
Any help (and straightforward articles) would be appreciated as information is relatively sparse in this area and I can't seem to find any articles or information in text books directly relevant to 1-sample t-tests.
Cheers,
Matt.
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Multiple testing adjusting is not specific for any test (one-sample t or whatever), it is to control the family-wise type-I error rate (FWER) in a "family of tests".
With "type-I error" is meant to reject the null (H0) under the premise that the null is true. With "type-I error rate" is meant the rejection probability of the null under the premise that the null is true. If this probabiliy is termed α, then means
Pr("reject H0" | H0) = α
Tests are designed to ensure that
Pr(p < α | H0) < α
So it is simple to control any desired "single-test" type-I error rate by rejecting H0 only when p < α. Given a true H0, this probability to reject H0 is then not larger than α, and given any deviation from H0, this probability is larger (how much depends on many things; the power function describes this probability depending on the size of the deviation for a given test and sample size). This is what you know, for sure.
Sometimes, not a specific statistical hypothesis is tested but rather a whole "family" of related hypotheses, to identify those hypothesis for which we would reject the null. If the single-test error-rate is controlled to α, errors will accumulate with increasing numbers of tests. Thus, sometimes it might be more appropriate to control
Pr("reject at least one H0 of all the tests" | H0 in all the tests)
which is called the familiy-wise type-I error rate: the probability to reject at least on of the H0 under the premise that all the H0 are true. Note that there is nothing mentioned about "sharing data". The question is only if you want to control the type-I error-rate for "at least one rejection among a series (family) of H0s".
The problem of multiple testing put the finger into the wound of the (lack of) logic of NHST. Reliance on "fixed α-levels" with the generated dichonomy of "significant" and "non-significant" results is common but bad practice. I suggest thinking about estimation instead, putting the data into the context of the experiment (and its limitation), incorporating prior knowledge where available, and thoughtfully discuss the credibility of the results amd the uncertainty in any conclusions.
Not directly related, but worth to be read:
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So, what are the Pros and Cons?
Do you want to know if you will get an un-treatable disease in the future? Is that healthy for you?
What does the government want to do with your data?
If the government makes a huge discovery on your data, will they share the profits with you?
Risk of getting a disease is often modified by environmental factors- how reliable will these predictions be? will this all just be another level of Astrology?
By limiting this test to those that can pay, is there not already a bias to the higher classes of society?
What is your opinion?
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The whole genetics field is opening up.
There needs to be more education of the public about their rights.
And there needs to be a government panel to assess genetic issues, especially the ethical issues. And this needs to have representation from across society
Regulation and monitoring is lagging behind scientific progress
It is a dangerous state of affairs
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Today I read a very interesting blog post at MathWorks website (https://blogs.mathworks.com/loren/2018/11/21/code-ocean-matlab-and-sharing-reusable-code/) about Open Science, Reproducible Research and Reusable Research.
That was my first contact with tools such Code Ocean, and I got quite curious to know: "what people in the research community are using for those purposes?"
Looking forward to your inputs :-)
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Thanks Mahmoud Ahmed for the straight and very rich answer.
Git and markup languages are very nice tools indeed for these purposes, and I am happy for using them already. I will take a look at Docker. :-)
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I have never published yet. I have a large set of Hylocomium splendens moisture content data that was generated from a privately funded project for a mine. The mine is willing to share the data but I have no idea how to do this. I visited a couple of data repositories (NSF Arctic Data Repository, Knowledge Network for Biocomplexity) but need to generate metadata that meets their criteria. Does anyone know of tutorial on developing metadata for data repositories?
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I am working in collaboration with another university where a collaborator was gathering data. He asked me to share my part, and I did as I assumed we were "collaborating". Now that he has all the database, he's no willing to share any of those data with anyone outside his university. I know that worst cases have happened to other researchers, so I am wondering, do we need to move from trusting in our fellow scientists towards legal protection? and how can I avoid this to happen again without losing trust in my colleagues?
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Not even sharing with you, a colleague that contributed to the database? That seems odd and potentially (hopefully) an isolated case. One idea to avoid this situation in the future is to hold the data in a ''shared space" where all contributers have access to and ownership of the full dataset.
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Hello,
I am doing research for an efficient encryption algorithm for Ethernet based industry standard protocols.
Currently I am validating the kerberos library for this research.
Any suggestion/ideas would be appreciated.
Regards,
Ravi
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Hi,
As mentioned above there are many protocols as well as many encryption algorithms which could be adopted by these protocols.
IPsec, for example, supports three encryption algorithms: DES, 3DES, AES.
Here you can find a paper about implementing and performance evaluation of IPsec for embedded systems:
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Dissemination of the principles of sustainable pro-ecological development of the global economy through education and social campaigns in the mass media
The aim of promoting the principles of sustainable pro-ecological development of the global economy should be to educate the society, including the broadcasting of social campaigns in the mass media.
Perhaps thanks to this, the significance and strength of specific barriers to the principle of sustainable development of the global economy will gradually decrease.
In view of the above, the current question is: Should the principles of sustainable pro-ecological development through education and mass media be promoted?
Please, answer, comments. I invite you to scientific cooperation
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Yes
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I'm doing a research regarding ontology and would like to get your opinion on the above question as all the ontology i came across had no data but broken links and nodes of possible class. if you take example of an ontology of college management it tells in the node as Director instead of the name. I'm wondering if those are just the structure and the real data is not shared? is this common to all ontology or have i not found the right one?
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As often the answer is "it depends". Maybe the following discussion (even if it is centered around a different topic) might be helpful. It contains a number of definitions of the term "ontology" https://keet.wordpress.com/2017/01/20/on-that-shared-conceptualization-and-other-definitions-of-an-ontology/. All of them point into the direction that an ontology is just the "terminological part" of knoweldge representation (the T-Box).
There are other opinions around which consider even the assertional information (the instances of the concepts or in your terminology the data) about the represented world as ontology or belonging to an ontology (the A-Box), but often ontologies are just used to describe the terminology to represent parts of the worlds.
This makes sense, since different people/applications can share the same terminology to talk about their data or represent them in some common scheme.
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I'm interested in the concepts from a variety of fields, which are either not understood (perhaps not so broadly disseminated) or that people misunderstand quite frequently, that you wish was better understood?
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Dear Jason Deegan, Thank you very much for making very important inquiries on the Research Gate portal and inspiring important discussions on particularly important issues.
In my opinion, it is good that there was a discussion in the question of this query.
This is a very interesting and scientifically important topic.
It seems to me that it is good that there was a discussion in the question of this question.
This is a very interesting and scientifically important topic.
Because the topic is very important so I still read the answers, I follow the interesting discussion.
Dear Jason Deegan Thank you very much for asking this very important question.
Question:
What is an academic concept from your field, that you wish was better understood and applied more?
this is a very important issue that requires scientific research.
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Here's an open-ended question relating to copyright, ethics, power relations in academia, and corpus linguistics:
What is the situation in your country/university with respect to the intellectual property rights of corpora/data collected and constituted by a PhD student during the preparation of their thesis?
All other considerations aside (i.e. suppose that the data is original, with no prior copyright holders, and that they have been duly collected with the consent of participants):
(1) Does the PhD student retain the intellectual property rights to such data? Or do they automatically become the intellectual property of the university, by means of an employment contract or another legal document (e.g. one that PhD students may be forced to sign in order to be authorised to defend their thesis)?
(2) What happens if the PhD student wishes to share/publish their data/corpora under an Open Access license (e.g. Creative Commons) after their defence or even before it? Do they need the permission of their supervisor, of a higher-level university body, of their funding agency, of all of the above? Has it ever happened in your university? Have there been cases where the researcher wanted to share data under an Open Access license and were prevented from doing so by another level of the hierarchy?
(3) If the data does become the intellectual property of the university, is there any obligation for the university afterwards (e.g. are they obliged to make them available through an institutional repository)? If the data becomes part of an institutional repository, does the PhD student have any say on the type of license under which they will be distributed? (for example, do they get to choose "non-commercial")?
(4) After the defence, is it possible for the university (or even an individual supervisor) to formally ask their former student (now Dr) to refrain from using the data/corpus they had collected during their thesis? Note that, in theory, if the corpus automatically becomes the intellectual property of the university, this is entirely possible. Do you know any cases of universities sending formal "cease and desist" letters against their former PhD students?
I would like to collect information about current practice and law in different countries with respect to this issue. For example, some countries limit these practices (considered an abusive utilisation of copyright); some Codes of Conduct in Dutch universities explicitly state that, unlike other productions, the copyright of a PhD thesis is retained by the PhD holder; in "business-friendly" Belgium, the issue is dealt under labour law (therefore a PhD student is just another employee and everything they produce belongs to their employer).
Researchers are becoming increasingly aware that the current situation is not really conducive to early-career researchers sharing their corpora under Open Access licenses.
Legal experts will provide data and analyses, as these matters can get complicated. But I would also like to hear some experiences and the opinions of corpus linguistics practitioners. Any pointer to your country's laws, university's code of conduct, case law, cases reported in the media, stories and anecdotes or even personal experiences (if you don't mind sharing them) are welcome.
Thank you very much for participating in the discussion and thank you for your help!
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Dear George.
Awareness of the concept Intellectual property right in Africa, specifically in Nigeria and presently Uganda is gaining momentum in the sence that before now plagiarism testing was overlooked, right now publications have to go through arrays of test to certify its authenticity or originality.
However have full right to your Phd work even after being declared authentic by various examining bodies of the particular school depends on the extant laws of the school, as each university or college have laws establishing them and also laws guiding the publication and publicizing of such research.
However, from my brief experience and based on advice which i have proffered in different occasions, it is expedient that schools hold on to the finished research for some number of years (Published via institutional repositories as a read only document), after which the research is released to its owner,
I have further opined that the researcher also MAY decide to allow the institution have full authority over the work.
These agreements should be in written form.
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Hi precious researchers,
I Am working on Michel Foucault's subjectivity idea and I am working also him late era works.
I want to contact with ones who works on same project with mine for sharing data.
Can you reach me for that?
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I can discuss Foucault with you as I employ his ideas quite often in my own works.
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Long story short, my MS thesis looked at Sargassum associated macrofauna. My fellow collaborators and I are currently writing everything up for publication as part of larger study but during the collection process, I noticed that a particular species of shrimp had a very noticeable parasite which I made note of. Right now, I just have frequency data about the parasite in conjunction with other variables like species of Sargassum the shrimp was found on, etc. It seems a shame not to share the data.
I am looking for suggestions about what sort of journal might publish this as a note (perhaps?). Would this be best suited for a taxa based journal or more ecology focused?
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Lindsay. A friend of mine is a parasitologist and he might be able to help you. However, he wants to know if the parasite has been identified. If it has been identified, can you tell us what is it? Guillermo
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I'm looking for publicly available speech perception EEG databases with large corpora (preferably at least 10-20 words) or articles that share their data. Can anyone help me find some? Your help would be greatly appreciated!!
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I hope that the References of the manuscript that I posted in the Attachment will be useful to you.
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Dear scientific community,
I am just wondering if anyone has used commercially available human primary cells for genomic research and if so, how did you addressed the policy requirements for NIH. I need to address this policy for my grant but this well known vendor is not fully cooperating with my requests. Vendor stated that this is not a requirement for commercially available cells, although I believe it should be.
Does anyone know of a vendor that can provide human primary cells but also can provide documentation that donor provided explicit consent for future research use?
Thank you.
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I agree with Gabriel, there must/should be an explicit agreement between the donor and the vendor as to the commercial use of the cell lines, and NIH has detailed guidelines for such issues, and you will need to check out relevant policy publications.
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The CRISPR-Cas9 method allows one to edit genomic sequences and have these changes permanently established in the organism. It is easy to imagine this technology resulting in biological disasters when in the wrong hands. 
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CRISPR Cas9 is part of a new instrumentation providing new strategies to question what could be information in life systems and how this information is processed. Unlike DNA computing, DNA origami platforms and others that aim at finding the fundamental rules that govern information based on a network of chemical reactions, CRISPR Cas9 is able to edit the genome. In other words, with CRISPR Cas9 we are able to process information in a life system without knowing what it is.
This is a usual way to go in research, the key issue with CRISPR Cas9 is that it addresses immediately the Animal and Human identities. It is going fast, we only start to understand what is the complexity at any scale that we are already in situation to modify the whole process at a large scale.
This is a complete new Ethical Question, because it is hard to envision the consequence at any level. Any Human actions contain implicitly the ability to correct and regulate wrong moves, even if the regulation might become expensive. It is not clear we could do a reverse move if needed. Indeed, we never do a reverse move but biased the orientation when we are doing wrong, therefore we need to find ways to keep this biased skill. This is very demanding and requires improving our human being and social organization. The key issue is trust, there are many possibilities to reinforce trust between people and to improve our human relationship capacity.
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Opinion leaders can be used in information dissemination in remote communities. I would like to find out the areas they have been used and with what success.
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Thank you. Will have a look at these.
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See above
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You can get the similar or apropriate answer by searching the keyword in the GOOGLE SCHOLAR page. Usually you will get the first paper similar to your keyword.
From my experience, this way will help you a lot. If you still have a problem, do not hasitate to let me know.
Kind regards, Dr ZOL BAHRI - Universiti Malaysia Perlis, MALAYSIA
BNT-BKT-BT. Available from: https://www.researchgate.net/post/BNT-BKT-BT#view=54f68badd3df3ee77c8b4638 [accessed May 7, 2015].
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So many questions and answers are based on the opinion of great scientists. Therefore RG Community/RG should publish valued opinions and make these opinions reach respective governmental authorities, thereby serving the society.
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Dear M Ramachandra Mohan,
Your idea is fascinating but has no chance for realization.
1. Policy makers (generally) are not interested in truth. They are interested only in political or economical terms. Bureaucrats have no ideas, they are not able to think.
2. These ideas are naïve ideas.
3. RG is full with good ideas but if something should be done participants do not make an attempt or an effort. Of course, this is human.
4. Certainly, one can make an attempt!
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We must look for the effective use of technological advances as the key to successful and sustainable development. The process of implementation is greatly strengthened if there is feedback from the users of technology to generators of knowledge.Literature sharing knowledge from blogs and wikis are important and they provide innovative ideas.
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Leaders needs to be prepared in innovating education through technology – like media and software design, policy, and analysis, administration, research and evaluation, and teaching with new technologies.Wearable computing and technology will play a cognitive role in soceity.We will be co-intelligent with our technical system.
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Language plays a major role in readership of scientific and research articles. Translation and editorial help is limited. Many good workers remain un-noticed because of defficiency in English. What is the affordable solution?
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If you want lots of scientists from all over the world to read your articles, you have to publish them in English: people who do not speak your languge will most probably not pay to get your article translated to English or their language. So, the best solution is to learn English and become so good at it that you won't need to pay for translating or editing your texts. Of course, learning takes time but it will really make sense.