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Mike Chelen

Neuroscience Information Framework (Main.WebHome) - Neuroscience Information Framework ... - 0 views

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    The advent of the World Wide Web has led to an explosion in the number of diverse resources available to neuroscientists. Despite the availability of powerful search engines, locating these diverse resources has become increasingly difficult and time consuming. The NIF project utilizes both advanced machine-based search technologies and old-fashioned human legwork to provide access to neuroscience-relevant resources on the Web. Resources include research materials, Web pages, software tools, data sets, literature and general information. The NIF has developed technologies that allow a user to search across these different types of resources, all from a single interface. A unique feature of the NIF is the ability to issue direct queries against multiple databases simultaneously, retrieving content that is largely hidden from traditional search engines. A second unique feature is an extensive vocabulary covering major neuroscience domains for describing and searching these resources. The NIF takes advantage of advances in knowledge engineering to broaden and refine searches based on related concepts. The NIF beta test site was developed to gain feedback on the NIF search interface and content. Users will be asked to search the NIF, explore the vocabularies, and answer a questionnaire about their experience.
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

Portal:Gene Wiki - Wikipedia, the free encyclopedia - 0 views

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    Welcome to the Gene Wiki portal. This portal is dedicated to the goal of applying community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: * To provide a well written and informative Wikipedia article for every notable human gene * To invite participation by interested lay editors, students, professionals, and academics from around the world * To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both Please browse around the Gene Wiki, make an edit to your favorite gene page, and feel free to ask questions!
Mike Chelen

PS3Cluster Guide: By The Cluster Workshop - 0 views

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    Our community guide allows you to set up your own MPI (Message Passing Interface) based supercomputer cluster with the Playstation 3. This guide was co-written by Gaurav Khanna, based on his previous work on the Gravity Grid and is a current run-time environment for the research of co-author (Chris Poulin), based on his current work in distributed pattern recognition. As such, we currently utilize the Fedora Core for this infrastructure and illustrate a "how-to" below. NOTE: We focus on the Fedora 8 distribution, due to prevalence of Fedora and its Cell SDK (3.0) compatibility. Finally, this content should be considered open source, and here is the license.
Mike Chelen

ChemSpider Forum - 0 views

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    A bulletin board system written in ASP.NET">Yet Another Forum.net, Forum, ASP.NET, BB, Bulletin Board, opensource
Mike Chelen

Transclusion - TiddlyWiki.org - 0 views

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    Using the Tiddler macro, contents of one tiddler can be embedded ("transcluded") from another tiddler:
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

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
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  • 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

FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short... - 0 views

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    FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology
Mike Chelen

PMC Open Archives (OAI) Service - 0 views

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    The PubMed Central OAI service (PMC-OAI) provides access to metadata of all items in the PubMed Central (PMC) archive, as well as to the full text of a subset of these items.
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