Archive for the ‘information ecosystem’ Category

Evidence Informatics

January 20th, 2015

I sent off my revised abstract to ECA Lisbon 2015, the European Conference on Argumentation. Evidence informatics, in 75 words:

Reasoning and decision-making are common throughout human activity. Increasingly, human reasoning is mediated by information technology, either to support collective action at a distance, or to support individual decision-making and sense-making.

We will describe the nascent field of “evidence informatics”, which considers how to structure reasoning and evidence. Comparing and contrasting evidence support tools in different disciplines will help determine reusable underlying principles, shared between fields such as legal informatics, evidence-based policy, and cognitive ergonomics.

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Genre defined, a quote from John Swales

October 21st, 2014

A genre comprises a class of communicative events, the members of which share some set of communicative purposes. These purposes are recognized by the expert members of the parent discourse community and thereby constitute the rationale for the genre. This rationale shapes the schematic structure of the discourse and influences and constrains choice of content and style. Communicative purpose is both a privileged criterion and one that operates to keep the scope of a genre as here conceived narrowly focused on comparable rhetorical action. In addition to purpose, exemplars of a genre exhibit various patterns of similarity in terms of structure, style, content and intended audience. If all high probability expectations are realized, the exemplar will be viewed as prototypical by the parent discourse community. The genre names inherited and produced by discourse communities and imported by others constitute valuable ethnographic communication, but typically need further validation.1

  1. Genre defined, from John M. Swales, page 58, Chapter 3 “The concept of genre” in Genre Analysis: English in academic and research settings. Cambridge University Press 1990. Reprinted with other selections in
    The Discourse Studies Reader: Main currents in theory and analysis (see pages 305-316). []

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Linked Science 2014 paper: Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base

October 19th, 2014

Today I’m presenting a talk in the ISWC 2014 Workshop on Linked Science 2014—Making Sense Out of Data (LISC2014). The LISC2014 paper is joint work with Paolo Ciccarese, Tim Clark and Richard D. Boyce. Our goal is to make the evidence in a scientific knowledge base easier to access and audit — to make the knowledge base easier to maintain as scientific knowledge and drug safety regulations change. We are modeling evidence (data, methods, materials) from biomedical communications in the medication safety domain (drug-drug interactions).

The new architecture for the drug-drug interaction knowledge base is based on:

This is part of a 4-year National Library of Medicine project, “Addressing gaps in clinically useful evidence on drug-drug interactions” (1R01LM011838-01)

Abstract of our paper, “Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base.”:

Semantic web technologies can support the rapid and transparent validation of scientific claims by interconnecting the assumptions and evidence used to support or challenge assertions. One important application domain is medication safety, where more efficient acquisition, representation, and synthesis of evidence about potential drug-drug interactions is needed. Exposure to potential drug-drug interactions (PDDIs), defined as two or more drugs for which an interaction is known to be possible, is a significant source of preventable drug-related harm. The combination of poor quality evidence on PDDIs, and a general lack of PDDI knowledge by prescribers, results in many thousands of preventable medication errors each year. While many sources of PDDI evidence exist to help improve prescriber knowledge, they are not concordant in their coverage, accuracy, and agreement. The goal of this project is to research and develop core components of a new model that supports more efficient acquisition, representation, and synthesis of evidence about potential drug-drug interactions. Two Semantic Web models—the Micropublications Ontology and the Open Annotation Data Model—have great potential to provide linkages from PDDI assertions to their supporting evidence: statements in source documents that mention data, materials, and methods. In this paper, we describe the context and goals of our work, propose competency questions for a dynamic PDDI evidence base, outline our new knowledge representation model for PDDIs, and discuss the challenges and potential of our approach.

Citation: Schneider, Jodi, Paolo Ciccarese, Tim Clark, and Richard D. Boyce. “Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base.” Linked Science 2014 at ISWC 2014.

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Rating the evidence, citation by citation?

September 4th, 2014

Publishers from HighWire Press are experimenting with a plugin called SocialCite. This is intended to rate the evidence, citation by citation. Like this:

SocialCite at PNAS, HighWire Press from

SocialCite at PNAS, HighWire Press from

So far a few publishers (including PNAS) have implemented it as a pilot. Apparently the Journal of Bone and Joint Surgery is apparently leading this effort, I’d be really interested in speaking with them further:

Find out more about SocialCite from their website or the slidedeck from their debut at the HighwirePress meeting.

I’m *very* curious to hear what peopel think of this — it really surprised me.

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Altmetrics can help surface quality content: Jason Priem on the Decoupled Journal as the achievable future of scholarly communication

November 4th, 2012

Jason Priem has a wonderful slidedeck on how to smoothly transition from today’s practices in scientific communication to the future. Here is my reading of the argument given in Jason’s slides:

Communicating science is a central and essential part of doing science, and we have always used the best technology available.
Yet currently, there are several problems with journals, the primary form of scholarly communication.

Journal publication is

  • Slow
  • Closed
  • Hard to innovate
  • and has

  • Restrictive format: function follows form
  • Inconsistent quality control

These problems are fixable, if we realize that journals serve four traditional functions:

  1. Registration
  2. Archiving
  3. Dissemination
  4. Certification

By decoupling these functions, into an a la carte publishing menu, we can fix the scholarly communication system. Decoupled scholarly outlets already exist. Jason mentions some outlets (I would say these mainly serve registration functions, maybe also dissemination ones):

  • ArXiv
  • Math Overflow
  • SSRN
  • Faculty of 1000 Research
  • the blag-o-sphere

Jason doesn’t mention here — but we could add to this list — systems for data publishing, e-science workflow, and open notebook science; these may fulfil registration and archiving functions. Also, among existing archiving systems, we could add the journal archiving functions of LOCKSS is the main player I’m familiar with.

To help with the certification functions, we have altmetrics tools like Impact Story (Jason’s Sloan Founded project with Heather Piwowar).

Jason’s argument well worth reading in full; it’s a well-articulated argument for decoupling journal functions, with some detailed descriptions of altmetrics. The core argument is very solid, and of wide interest: Unlike previous articulations for “pre-publication peer review”, this argument will make sense to everyone who believes in big data, I think. There are other formats: video of the talk1 and a draft article called “Decoupling the scholarly journal”2.

Briefly noted in some of my earlier tweets.

  1. Thanks to Siegfriend Handschuh, who suggested the video of Jason giving this talk at Purdue. []
  2. by Jason Priem and Bradley M. Hemminger, under review for the Frontiers in Computational Neuroscience special issue “Beyond open access: visions for open evaluation of scientific papers by post-publication peer review” []

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Google Docs ‘research’ tab

May 19th, 2012

Increasingly, I’m using Google Docs with collaborators. Yesterday, one of them pointed out the new “Research” search tab within Google Docs. (Tools->Research). I’m a bit surprised that your searches don’t show up on your collaborators’ screen. I’m particularly surprised that sharing searches doesn’t seem possible.

Google Docs' new 'Research' tab promotes search within Google Docs.

Apparently, it is pretty new. More at the Google Docs blog.

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Error reporting: it’s easier in Kindle

May 9th, 2012

One thing I can say about Kindle: error reporting is easier.

You report problems in context, by selecting the offending text. No need to explain where - just what the problem is.

Feedback receipt is confirmed, along with the next steps for how it will be used.

By contrast, to report problems to academic publishers, you often must fill out an elaborate form (e.g. Springer or Elsevier). Digging up contact information often requires going to another page (e.g. ACM.). Some make you *both* go to another page to leave feedback and then fill out a form (e.g. EBSCO). Do any academic publishers keep the context of what journal article or book chapter you’re reporting a problem with? (If so, I’ve never noticed!)

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Commercial Altmetric Explorer aimed at publishers

May 7th, 2012

Altmetrics is hitting its stride: 30 months after the Altmetrics manifesto1, there are 6 tools listed. This is great news!

I tried out the beta of a new commercial tool, The Altmetric Explorer, from They are building on the success and ideas of the academic and non-profit community (but not formally associated with The Altmetric Explorer gives overviews of articles and journals by the social media mentions. You can filter by publisher, journal, subject, source, etc. Altmetric Explore has a closed beta, but you can try the basic functionality on articles with their open tool, the PLoS Impact explorer.

"The default view shows the articles mentioned most frequently in all sources, from all journals. Various filters are available.

Rolling over the donut shows which sources (Twitter, blogs, ...) an article was mentioned in.

Sparklines can be used to compare journals.

A 'people' tab lets you look at individual messages. Rolling over the photo or avatar shows the poster's profile. seems largely aimed at publishers2. This may add promotional noise, not unlike coercive citation, if it is used as an evaluation metric as they suggest:3

Want to see which journals have improved their profile in social media or with a particular news outlet?

Their API is currently free for non-commercial use. are crawling Twitter since July 2011 and focusing on papers with PubMed, arXiv, and DOI identifiers. They also get data from Facebook, Google+, and blogs, but they don’t disclose how. (I assume that blogs using ResearchBlogging code are crawled, for instance.)

  1. J. Priem, D. Taraborelli, P. Groth, C. Neylon (2010), Altmetrics: A manifesto, (v.1.0), 26 October 2010. []
  2. “Altmetric sustains itself by selling more detailed data and analysis tools to publishers, institutions and academic societies.”, says the bookmarklet page, to explain why that is free []
  3. ‘This quote from an editor as a condition for publication highlights the problem: “you cite Leukemia [once in 42 references]. Consequently, we kindly ask you to add references of articles published in Leukemia to your present article”’-from the abstract of Science. 2012 Feb 3;335(6068):542-3. Scientific publications. Coercive citation in academic publishing. Wilhite AW, Fong EA. summary on Science Daily. []

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QOTD: in discussions, we negotiate points of view

April 30th, 2012

“Wikipedia discussions can thus be seen as a mirror of a stream of public consciousness, where those elements which are still not part of a shared consolidated heritage are object of a continuous negotiation among different points of view.”

There is No Deadline – Time Evolution of Wikipedia Discussions. (2012) Andreas Kaltenbrunner, David Laniado. arXiv:1204.3453v1

via summarizing it for Wikipedia Signpost, longer summary space on AcaWiki

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Juxtaposition 2

April 1st, 2012

From today’s Twitter stream, more juxtaposition:

Gabriela Avram: #LmkTH You’re half way through, and you’re all doing a fantastic job! Keep on the good work!

Laura Dragan: 50% done – #21k in 2h30min – not looking fwd to the hills that are coming :) sun still shining ..loving it!

I’m amused because Gabriela’s comment about the Limerick Tweasure Hunt could be a great reply to Laura’s Connemara marathon status update.

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