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Mike Chelen

genome.gov | A Catalog of Published Genome-Wide Association Studies - 0 views

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    The genome-wide association study (GWAS) publications listed here include only those attempting to assay at least 100,000 single nucleotide polymorphisms (SNPs) in the initial stage. Publications are organized from most to least recent date of publication, indexing from online publication if available. Studies focusing only on candidate genes are excluded from this catalog. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). SNP-trait associations listed here are limited to those with p-values < 1.0 x 10-5. Note that we are now including all identified SNP-trait associations meeting this p-value threshhold. Multipliers of powers of 10 in p-values are rounded to the nearest single digit; odds ratios and allele frequencies are rounded to two decimals. Standard errors are converted to 95 percent confidence intervals where applicable. Allele frequencies, p-values, and odds ratios derived from the largest sample size, typically a combined analysis (initial plus replication studies), are recorded below if reported; otherwise statistics from the initial study sample are recorded. Odds ratios < 1 in the original paper are converted to OR > 1 for the alternate allele. Where results from multiple genetic models are available, we prioritized effect sizes (OR's or beta-coefficients) as follows: 1) genotypic model, per-allele estimate; 2) genotypic model, heterozygote estimate, 3) allelic model, allelic estimate. Gene regions corresponding to SNPs were identified from the UCSC Genome Browser. Gene names are those reported by the authors in the original paper. Only one SNP within a gene or region of high linkage disequilibrium is recorded unless there was evidence of independent association.
Mike Chelen

Science in the open » A breakthrough on data licensing for public science? - 0 views

  • Peter Murray-Rust and others at the Unilever Centre for Molecular Informatics at Cambridge
  • conversation we had over lunch with Peter, Jim Downing, Nico Adams, Nick Day and Rufus Pollock
  • appropriate way to license published scientific data
  • ...27 more annotations...
  • value of share-alike or copyleft provisions of GPL and similar licenses
  • spreading the message and use of Open Content
  • prevent “freeloaders” from being able to use Open material and not contribute back to the open community
  • presumption in this view is that a license is a good, or at least acceptable, way of achieving both these goals
  • allow people the freedom to address their concerns through copyleft approaches
  • Rufus
  • concerned more centrally with enabling re-use and re-purposing of data as far as is possible
  • make it easy for researchers to deliver on their obligations
  • worried by the potential for licensing to make it harder to re-use and re-mix disparate sets of data and content into new digital objects
  • “license”, will have scientists running screaming in the opposite direction
  • we focused on what we could agree on
  • common position statement
  • area of best practice for the publication of data that arises from public science
  • there is a window of opportunity to influence funder positions
  • data sharing policies
  • “following best practice”
  • don’t tend to be concerned about freeloading
  • providing clear guidance and tools
  • if it is widely accepted by their research communities
  • “best practice is X”
  • enable re-use and re-purposing of that data
  • share-alike approaches as a community expectation
  • Explicit statements of the status of data are required and we need effective technical and legal infrastructure to make this easy for researchers.
  • “Where a decision has been taken to publish data deriving from public science research, best practice to enable the re-use and re-purposing of that data, is to place it explicitly in the public domain via {one of a small set of protocols e.g. cc0 or PDDL}.”
  • focuses purely on what should be done once a decision to publish has been made
  • data generated by public science
  • describing this as best practice it also allows deviations that may, for whatever reason, be justified by specific people in specific circumstances
Mike Chelen

SWAN (Semantic Web Applications in Neuromedicine) Project - 0 views

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    SWAN (Semantic Web Applications in Neuromedicine) is a Web-based collaborative program that aims to organize and annotate scientific knowledge about Alzheimer disease (AD) and other neurodegenerative disorders. Its goal is to facilitate the formation, development and testing of hypotheses about the disease. The ultimate goal of this project is to create tools and resources to manage the evolving universe of data and information about AD in such a way that researchers can easily comprehend their larger context ("what hypothesis does this support or contradict?"), compare and contrast hypotheses ("where do these two hypotheses agree and disagree?"), identify unanswered questions and synthesize concepts and data into ever more comprehensive and useful hypotheses and treatment targets for this disease. The SWAN project is designed to allow the community of AD researchers to author, curate and connect a diversity of data and ideas about AD via secure personal and public SWAN workspaces, using the emerging Semantic Web paradigm for deep interconnection of data, information and knowledge. We are initially focusing on developing a fully public Web resource deployed as part of the Alzheimer Research Forum web site (www.alzforum.org). After the public resource has been launched, we will also develop secure personal workspaces (MySWAN) and semi-private lab workspaces (LabSWAN). An essential component of this project is development of an initial, core knowledge base within SWAN, which will provide immediate value to researchers at the time of deployment. This is a critically important part of our strategy to ensure that the SWAN system gains wide adoption and active participation by the AD research community. As part of our development strategy, we are also recruiting a "beta test" community of AD researchers to enter their own hypotheses, add commentaries and citations, and provide feedback on the technology and content. SWAN is being developed by a collaborative team from
Mike Chelen

ChemSpider Blog » Blog Archive » Adding Publications to ChemSpider via Digita... - 0 views

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    We are focused on providing tools to our users to ensure that they can add information of interest to structure-based records in ChemSpider. We have introduced DOI-based associations recently allowing users to connect publications of interest to chemical compounds on our database. The process is simple. Find the structure record of interest, use the Add DOI function and Publish. The process is outlined graphically below.
Mike Chelen

Public MySQL Server - 0 views

  • For large amounts of data and more detailed analysis, we recommend you use our publicly-accessible MySQL server, ensembldb.ensembl.org, which you can access as user 'anonymous'. A second server, martdb.ensembl.org provides public access to the BioMart databases.
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    For large amounts of data and more detailed analysis, we recommend you use our publicly-accessible MySQL server, ensembldb.ensembl.org, which you can access as user 'anonymous'. A second server, martdb.ensembl.org provides public access to the BioMart databases.
Mike Chelen

Protocol for Implementing Open Access Data - 0 views

  • information for the Internet community
  • distributing data or databases
  • “open” and “open access”
  • ...69 more annotations...
  • requirements for gaining and using the Science Commons Open Access Data Mark and metadata
  • interoperability of scientific data
  • terms and conditions around data make integration difficult to legally perform
  • single license
  • data with this license can be integrated with any other data under this license
  • too many databases under too many terms already
  • unlikely that any one license or suite of licenses will have the correct mix of terms
  • principles for open access data and a protocol for implementing those principles
  • Open Access Data Mark and metadata
  • databases and data
  • the foundation to legally integrate a database or data product
  • another database or data product
  • no mechanisms to manage transfer or negotiations of rights unrelated to integration
  • submitted to Science Commons for certification as a conforming implementation
  • Open Access Data trademarks (icons and phrases) and metadata on databases
  • protocol must promote legal predictability and certainty
  • easy to use and understand
  • lowest possible transaction costs on users
  • Science Commons’ experience in distributing a database licensing Frequently Asked Questions (FAQ) file
  • hard to apply the distinction between what is copyrightable and what is not copyrightable
  • lack of simplicity restricts usage
  • reducing or eliminating the need to make the distinction between copyrightable and non-copyrightable elements
  • satisfy the norms and expectations of the disciplines providing the database
  • norms for citation will differ
  • norms must be attached
  • Converge on the public domain by waiving all rights based on intellectual property
  • reconstruction of the public domain
  • scientific norms to express the wishes of the data provider
  • public domain
  • waiving the relevant rights on data and asserting that the provider makes no claims on the data
  • Requesting behavior, such as citation, through norms rather than as a legal requirement based on copyright or contracts, allows for different scientific disciplines to develop different norms for citation.
  • waive all rights necessary for data extraction and re-use
  • copyright
  • sui generis database rights
  • claims of unfair competition
  • implied contracts
  • and other legal rights
  • any obligations on the user of the data or database such as “copyleft” or “share alike”, or even the legal requirement to provide attribution
  • non-legally binding set of citation norms
  • waiving other statutory or intellectual property rights
  • there are other rights, in addition to copyright, that may apply
  • uncopyrightable databases may be protected in some countries
  • sui generis rights apply in the European Union
  • waivers of sui generis and other legal grounds for database protection
  • no contractual controls
  • using contract, rather than intellectual property or statutory rights, to apply terms to databases
  • affirmatively declare that contractual constraints do not apply to the database
  • interoperation with databases and data not available under the Science Commons Open Access Data Protocol through metadata
  • data that is not or cannot be made available under this protocol
  • owner provides metadata (as data) under this protocol so that the existence of the non-open access data is discoverable
  • digital identifiers and metadata describing non-open access data
  • “Licensing” a database typically means that the “copyrightable elements” of a database are made available under a copyright license
  • Database FAQ, in its first iteration, recommended this method
  • recommendation is now withdrawn
  • copyright begins in and ends in many databases
  • database divided into copyrightable and non copyrightable elements
  • user tends to assume that all is under copyright or none is under copyright
  • share-alike license on the copyrightable elements may be falsely assumed to operate on the factual contents of a database
  • copyright in situations where it is not necessary
  • query across tens of thousands of data records across the web might return a result which itself populates a new database
  • selective waiving of intellectual property rights fail to provide a high degree of legal certainty and ease of use
  • problem of false expectations
  • apply a “copyleft” term to the copyrightable elements of a database, in hopes that those elements result in additional open access database elements coming online
  • uncopyrightable factual content
  • republish those contents without observing the copyleft or share-alike terms
  • cascading attribution if attribution is required as part of a license approach
  • Would a scientist need to attribute 40,000 data depositors in the event of a query across 40,000 data sets?
  • conflict with accepted norms in some disciplines
  • imposes a significant transaction cost
Mike Chelen

Science 2.0 - introduction and perspectives for Poland « Freelancing science - 0 views

  • transcript of Science 2.0 based on a presentation I gave on conference on open science organized in Warsaw earlier this month
  • prepared for mixed audience and focused on perspectives for Poland
  • new forms of communication between scientists
  • ...44 more annotations...
  • research become meaningful only after confronting results with the scientific community
  • peer-reviewed publication is the best communication channel we had so far
  • new communication channels complement peer-reviewed publication
  • two important attributes in which they differ from traditional models: openness and communication time
  • increased openness and shorter communication time happens already in publishing industry (via Open Access movement and experiments with alternative/shorter ways of peer-review)
  • say few words about experiments that go little or quite a lot beyond publication
  • My Experiment as an example of an important step towards openness
  • least radical idea you can find in modern Science 2.0 world
  • virtual research environment
  • focus is put on sharing scientific workflows
  • use case
  • diagram of the “methods” sections from experimental (including bioinformatics analyses) publications
  • make it easier for others to understand what we did
  • can open towards other scientists we can also open towards non-experts
  • people from all over the world compete in improving structural models of proteins
  • helps in improving protein structure prediction software and in understanding protein folding
  • combine teaching and data annotation
  • metagenome sequences in first case and chemistry spectra in the second
  • interactive visualizations of chemical structures, genomes, proteins or multidimensional data
  • communicate some difficult concepts faster
  • new approaches in conference reporting
  • report in real time from the conference
  • followed by a number of people, including even the ones that were already on the conference
  • “open notebook science” which means conducting research using publicly available, immediately updated laboratory notebook
  • The reason I did a model for Cameron’s grant was that I subscribed to his feed before
  • I didn’t subscribe to Cameron because I knew his professional profile
  • I read his blog, I commented on it and he commented on mine, etc.
  • participation in online communities
  • important part of Science 2.0 is the fact that it has human face
  • PhDs about the same time
  • first was from a major Polish institute, the second from a major European one
  • what a head of a lab both would apply to will see
  • gap we must fill, this is between current research and lectures we give today
  • access to real-time scientific conversation
  • follow current research and decide what is important to learn
  • synthetic biology
  • not all universities in world have synthetic biology courses
  • didn’t stop these students, and they plan to participate in IGEM again
  • not only scientists – there are librarians, science communicators, editors from scientific journals, people working in biotech industry
  • community of life scientists
  • even people without direct connection to science
  • diverse skills and background
  • online conference
  • interact with them and to learn from them
Mike Chelen

Open Journal Systems | Public Knowledge Project - 0 views

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    Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research.
Mike Chelen

Open Knowledge Foundation Blog » Blog Archive » Open Data: Openness and Licen... - 0 views

  • Why bother about openness and licensing for data
  • It’s crucial because open data is so much easier to break-up and recombine, to use and reuse.
  • want people to have incentives to make their data open and for open data to be easily usable and reusable
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  • good definition of openness acts as a standard that ensures different open datasets are ‘interoperable’
  • Licensing is important because it reduces uncertainty. Without a license you don’t know where you, as a user, stand: when are you allowed to use this data? Are you allowed to give to others? To distribute your own changes, etc?
  • licensing and definitions are important even though they are only a small part of the overall picture
  • If we get them wrong they will keep on getting in the way of everything else.
  • Everyone agrees that requiring attribution is OK
    • Mike Chelen
       
      My opinion is that there should be no requirements, including attribution, and that standards should be community-based instead of legal.
  • Even if a basic license is used it can be argued that any ‘requirements’ for attribution or share-alike should not be in a license but in ‘community norms’.
    • Mike Chelen
       
      Licenses and community norms are not exclusive. It's recommended to adopt a Public Domain license, and encourage attribution through community standards.
  • A license is likely to elicit at least as much, and almost certainly more, conformity with its provisions than community norms.
    • Mike Chelen
       
      Ease of access and should be the goal, not conformity.
  • (even to a user it is easy to comply with the open license)
    • Mike Chelen
       
      It is important to specifically publish using a Public Domain dedication.
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    Why bother about openness and licensing for data? After all they don't matter in themselves: what we really care about are things like the progress of human knowledge or the freedom to understand and share.
Mike Chelen

Bioinformatics Toolkit - 0 views

shared by Mike Chelen on 17 Dec 08 - Cached
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    The Bioinformatics Toolkit is a platform that integrates a great variety of tools for protein sequence analysis. Many tools are developed in-house, and serveral public tools are offered with extended functionality. The toolkit includes, among others: NucleotideBLAST, ProteinBLAST, PSI-BLAST, fastHMMER, HHsenser; ClustalW, MUSCLE, Mafft, ProbCons; HHrep, PCOILS, REPPER; Quick2D; HHpred, Modeller; CLANS, ANCESCON, PHYLIP; Reformat, RetrieveSeq, gi2promoter. For a short description of the tools, click the section tabs.
Mike Chelen

mobibot - 0 views

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    mobibot is the #mobitopia IRC channel bot. It is built on Paul Mutton's PircBot Java-based Framework. mobibot is making extensive use of various open source libraries, including: * Commons CLI * Commons HTTPClient * Commons Logging * Commons Net * delicious-java * Google Tag Library * JWeather * MathEvaluator * Rome * Apache XML-RPC * Twitter4J mobibot was written by Erik C. Thauvin as a replacement for the channel's original ChumpBot. Features mobibot's main functionality is to capture URLs posted on the channel. The URLs are automatically gathered into a publishable RSS feed. Other features include: * Performing calculations * Converting between currencies * Rolling dice * Performing Google searches * Displaying the latest entries on Mobitopia * Performing DNS lookups * Recapping public channel messages * Performing Google spelling queries * Retrieving stock quotes * Displaying the time in various time zones * Listing the users on the channel * Displaying weather information * Posting to Jaiku's #mobitopia channel * Posting to Twitter Some of the internal features include RSS feed backlogs, rolling logs, debugging toggle and much more. If you have any feature suggestions, please post them to the mobibot wiki.
Mike Chelen

NIF - 0 views

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    The Neuroscience Information Framework (NIF) is a dynamic inventory of web-based neurosciences data, resources, and tools that scientists and students can access via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, the NIF will advance neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.
Mike Chelen

Eggheads.org - Main Index - 0 views

shared by Mike Chelen on 17 Dec 08 - Cached
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    Eggdrop is the world's most popular Open Source IRC bot, designed for flexibility and ease of use, and is freely distributable under the GNU General Public License (GPL). Eggdrop was originally developed by Robey Pointer; however, he no longer works on Eggdrop so please do not contact him for help solving a problem or bug. Some features of Eggdrop: * Designed to run on Linux, *BSD, SunOs, Windows, Mac OS X, etc ... * Extendable with Tcl scripts and/or C modules * Support for the big five IRC networks (Undernet, DALnet, EFnet, IRCnet, and QuakeNet) * The ability to form botnets and share partylines and userfiles between bots Some benefits of Eggdrop: * The oldest IRC bot still in active development (Eggdrop was created in 1993) * Established IRC help channels and web sites dedicated to Eggdrop * Thousands of premade Tcl scripts and C modules * Best of all ... It's FREE!
Mike Chelen

TED | About TED - 0 views

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    This site makes the best talks and performances from TED available to the public, for free. More than 200 talks from our archive are now available, with more added each week. These videos are released under a Creative Commons license, so they can be freely shared and reposted.
dev j

Online editing services - 0 views

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    Welcome to Manuscriptedit.com, your online partner for English language editing, proofreading, medical writing, formatting, design & development and publication support services. We offer a comprehensive manuscript editing service before its submission for publication as well as after acceptance by the peer review process.
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