Skip to main content

Home/ OpenSciInfo/ Group items tagged citation

Rss Feed Group items tagged

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

Zotz - SIMILE - 0 views

  •  
    Zotz is a Firefox add-on giving you the ability to publish citations from Zotero to an Exhibit in one step.
Mike Chelen

PubMed Home - 0 views

  •  
    PubMed is a service of the U.S. National Library of Medicine that includes over 18 million citations from MEDLINE and other life science journals for biomedical articles back to 1948. PubMed includes links to full text articles and other related resources.
Mike Chelen

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

  •  
    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
1 - 11 of 11
Showing 20 items per page