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Mike Chelen

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

blog.okfn.org/...en-data-openness-and-licensing

okfn blog open data science license

shared by Mike Chelen on 11 Feb 09 - Cached
  • 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
  • ...8 more annotations...
  • 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
      Mike Chelen on 11 Feb 09
       
      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
      Mike Chelen on 11 Feb 09
       
      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
      Mike Chelen on 11 Feb 09
       
      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
      Mike Chelen on 11 Feb 09
       
      It is important to specifically publish using a Public Domain dedication.
  • Mike Chelen on 11 Feb 09
     
    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

Protocol for Implementing Open Access Data - 0 views

sciencecommons.org/...open-access-data-protocol

science commons open access data public domain

shared by Mike Chelen on 07 Sep 08 - Cached
  • 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 in the open » A breakthrough on data licensing for public science? - 0 views

blog.openwetware.org/...a-licensing-for-public-science

open public science data license

shared by Mike Chelen on 15 May 09 - Cached
  • 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

Bjoern Hassler - The Science Media Network: Mediawiki OER export - 0 views

www.sciencemedianetwork.org/Mediawiki_OER_export

media wiki export html xml

shared by Mike Chelen on 30 Oct 08 - Cached
  • Mike Chelen on 30 Oct 08
     
    In the page on Thoughs on institutional OER contributions I argue that (among other things) having a good export of material from shared resources (like the OER Toolkit or wikieducator) is important for getting institutions to contribute. How is this requirement met by the platform used for the OER Toolkit and wikieducator?
Mike Chelen

Eggheads.org - Main Index - 0 views

www.eggheads.org

irc bot

shared by Mike Chelen on 17 Dec 08 - Cached
  • Mike Chelen on 17 Dec 08
     
    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

myExperiment - 0 views

www.myexperiment.org

web2.0 science science2.0 myexperiment research workflow collaboration community

shared by Mike Chelen on 07 Jan 09 - Cached
  • Mike Chelen on 07 Jan 09
     
    myExperiment makes it really easy to find, use and share scientific workflows and other files, and to build communities.
Mike Chelen

TED | About TED - 0 views

www.ted.com/...5

commons creative license talks ted

shared by Mike Chelen on 16 Sep 08 - Cached
  • Mike Chelen on 16 Sep 08
     
    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.
Mike Chelen

myGrid » Home - 0 views

www.mygrid.org.uk

science science2.0 open source

shared by Mike Chelen on 07 Jan 09 - Cached
  • Mike Chelen on 07 Jan 09
     
    The myGrid team produce and use a suite of tools designed to "help e-Scientists get on with science and get on with scientists". The tools support the creation of e-laboratories and have been used in domains as diverse as biology, social science, music, astronomy, text mining and chemistry. The tools have been adopted by a large number of projects and institutions. The team has developed tools and infrastructure to allow: * the design, editing and execution of workflows in Taverna * the sharing of workflows and related data by myExperiment * the cataloguing and annotation of services in BioCatalogue and Feta * the creation of user-friendly rich clients such as UTOPIA
Mike Chelen

Open Knowledge Foundation Blog » Blog Archive » Comments on the Science Commo... - 0 views

blog.okfn.org/...-implementing-open-access-data

open access data okfn science commons

shared by Mike Chelen on 01 Mar 09 - Cached
  • the protocol does not discuss any of the possible attractions of allowing such provisions
  • Protocol gives 3 basic reasons for preferring the ‘PD’ approach
  • Science Commons Protocol for Implementing Open Access Data
  • ...7 more annotations...
  • I am not really convinced by any of these points that attribution or share-alike provisions should not be included in open data licenses
  • application of obligations based on copyright in situations where it is not necessary
  • non-copyrightable elements extends to the entire database and inadvertently infringe
  • If intellectual property rights are involved
  • requirements carrying a stiff penalty for failure
  • selective waiving of intellectual property rights
  • interpretative problems
Mike Chelen

OPENCV \ library - 0 views

ubaa.net/opencv

opencv computer vision procesing open source

shared by Mike Chelen on 02 Jan 09 - Cached
  • Mike Chelen on 02 Jan 09
     
    OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself. This implementation is not a complete port of OpenCV. Currently, this library supports : * real-time capture * video file import * basic image treatment (brightness, contrast, threshold, …) * object detection (face, body, …) * blob detection Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances … For more information about OpenCV visit the Open Source Computer Vision Library Intel webpage, the OpenCV Library Wiki, and the OpenCV Reference Manual (pdf).
Mike Chelen

USENIX IMC '05 Technical Paper - 0 views

www.usenix.org/...guo_html

bit torrent p2p file sharing

shared by Mike Chelen on 19 Nov 08 - No Cached
  • Mike Chelen on 19 Nov 08
     
    Existing studies on BitTorrent systems are single-torrent based, while more than 85% of all peers participate in multiple torrents according to our trace analysis. In addition, these studies are not sufficiently insightful and accurate even for single-torrent models, due to some unrealistic assumptions. Our analysis of representative BitTorrent traffic provides several new findings regarding the limitations of BitTorrent systems: (1) Due to the exponentially decreasing peer arrival rate in reality, service availability in such systems becomes poor quickly, after which it is difficult for the file to be located and downloaded. (2) Client performance in the BitTorrent-like systems is unstable, and fluctuates widely with the peer population. (3) Existing systems could provide unfair services to peers, where peers with high downloading speed tend to download more and upload less. In this paper, we study these limitations on torrent evolution in realistic environments. Motivated by the analysis and modeling results, we further build a graph based multi-torrent model to study inter-torrent collaboration. Our model quantitatively provides strong motivation for inter-torrent collaboration instead of directly stimulating seeds to stay longer. We also discuss a system design to show the feasibility of multi-torrent collaboration.
Mike Chelen

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

freelancingscience.com/...on-and-perspectives-for-poland

science2.0 elearning eresearch

shared by Mike Chelen on 20 May 09 - Cached
  • 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

Creative Commons Attribution Noncommercial ShareAlike Legal Code - 0 views

creativecommons.org/...legalcode

shared by Mike Chelen on 22 May 09 - Cached
  • must include a copy of, or the Uniform Resource Identifier for, this License with every copy
  • Derivative Work
  • the terms of this License
  • ...10 more annotations...
  • distribute
  • may not exercise
  • rights granted to You in Section 3 above
  • primarily intended for or directed toward commercial advantage or private monetary compensation
  • primarily
  • exchange of the Work for other copyrighted works by means of digital file-sharing or otherwise shall not be considered to be intended for or directed toward commercial advantage or private monetary compensation
  • provided there is no payment of any monetary compensation in connection with the exchange of copyrighted works
  • name of the Original Author
  • keep intact all copyright notices for the Work
  • "Attribution Parties"
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