Showing posts with label ToBeTagged. Show all posts
Showing posts with label ToBeTagged. Show all posts

Wednesday, 25 August 2010

NYTimes > Scholars Test Web Alternative to Peer Review


[snip] Now some humanities scholars have begun to challenge the monopoly that peer review has on admission to career-making journals and, as a consequence, to the charmed circle of tenured academe. They argue that in an era of digital media there is a better way to assess the quality of work. Instead of relying on a few experts selected by leading publications, they advocate using the Internet to expose scholarly thinking to the swift collective judgment of a much broader interested audience.

[snip]

That transformation was behind the recent decision by the prestigious 60-year-old Shakespeare Quarterly to embark on an uncharacteristic experiment in the forthcoming fall issue — one that will make it, Ms. Rowe says, the first traditional humanities journal to open its reviewing to the World Wide Web.

Mixing traditional and new methods, the journal posted online four essays not yet accepted for publication, and a core group of experts — what Ms. Rowe called “our crowd sourcing” — were invited to post their signed comments on the Web site MediaCommons, a scholarly digital network. Others could add their thoughts as well, after registering with their own names. In the end 41 people made more than 350 comments, many of which elicited responses from the authors. The revised essays were then reviewed by the quarterly’s editors, who made the final decision to include them in the printed journal, due out Sept. 17.

The Shakespeare Quarterly trial, along with a handful of other trailblazing digital experiments, goes to the very nature of the scholarly enterprise. [snip]

[snip].

Each type of review has benefits and drawbacks.

[snip]

Clubby exclusiveness, sloppy editing and fraud have all marred peer review on occasion. Anonymity can help prevent personal bias, but it can also make reviewers less accountable; exclusiveness can help ensure quality control but can also narrow the range of feedback and participants. Open review more closely resembles Wikipedia behind the scenes, where anyone with an interest can post a comment. This open-door policy has made Wikipedia, on balance, a crucial reference resource.

Ms. Rowe said the goal is not necessarily to replace peer review but to use other, more open methods as well.

[snip]

The most daunting obstacle to opening up the process is that peer-review publishing is the path to a job and tenure, and no would-be professor wants to be the academic canary in the coal mine.

The first question that Alan Galey, a junior faculty member at the University of Toronto, asked when deciding to participate in The Shakespeare Quarterly’s experiment was whether his essay would ultimately count toward tenure. “I went straight to the dean with it,” Mr. Galey said. (It would.)

Although initially cautious, Mr. Galey said he is now “entirely won over by the open peer review model.” The comments were more extensive and more insightful, he said, than he otherwise would have received on his essay, which discusses Shakespeare in the context of information theory.

Advocates of more open reviewing, like Mr. Cohen at George Mason argue that other important scholarly values besides quality control — for example, generating discussion, improving works in progress and sharing information rapidly — are given short shrift under the current system.

“There is an ethical imperative to share information,” said Mr. Cohen, who regularly posts his work online, where he said thousands read it. Engaging people in different disciplines and from outside academia has made his scholarship better, he said.

To Mr. Cohen, the most pressing intellectual issue in the next decade is this tension between the insular, specialized world of expert scholarship and the open and free-wheeling exchange of information on the Web. “And academia,” he said, “is caught in the middle.”

A version of this article appeared in print on August 24, 2010, on page A1 of the New York edition.

[http://www.nytimes.com/2010/08/24/arts/24peer.html/]

Letters To The Editor > 08-30-10

[http://www.nytimes.com/2010/08/30/opinion/l30review.html]

See Also CHE > Leading Humanities Journal Debuts 'Open' Peer Review, and Likes It

[http://chronicle.com/article/Leading-Humanities-Journal/123696/]

BTW: I Profiled Several Innovative Alternative Initiatives Several Years Ago > For Example

"Alternative Peer Review:
Quality Management for 21st Century Scholarship"


> >> It's A Large PPT (200+ Slides) >>>

>>> But IMHO ... Well Worth The Experience [:-)] <<<

See Also (My) Other Works Listed / Linked At

The Scientist > August 2010 > Peer Review Rejected

[http://scholarship20.blogspot.com/2010/08/scientist-august-2010-peer-review.html]

NPR > An Un-'Common' Take On Copyright Law

It's safe to say that most Americans don't spend much time thinking about intellectual property law. But in Common As Air, Lewis Hyde explains why these laws profoundly affect our culture -- and how they are based on assumptions that are artificial, illogical and outdated.

[snip]

.... [I]ntellectual property laws affect our culture profoundly, in ways that go beyond college students being taken to court for downloading songs. Some people believe that not only are current copyright laws too stringent, but that the assumptions the current laws are based on are artificial, illogical and outdated.

Among them is Lewis Hyde, a professor of art and politics who has studied these issues for years. In his new book Common As Air, Hyde says he's suspicious of the concept of "intellectual property" to begin with, calling it "historically strange." Hyde backs it up with an impressive amount of research; he spends a significant amount of time reflecting on the Founding Fathers, who came up with America's initial copyright laws.

Hyde is a contrarian, but he's not a scorched-earth opponent of all copyright laws. He does believe the national paradigm for intellectual property issues should be changed, though, at one point offering several examples of the absurd situations the current laws have created. [snip]Hyde advocates for a return to a "cultural commons" and quotes, approvingly, Thomas Jefferson, who believed that "ideas should freely spread from one to another over the globe, for the moral and mutual instruction of man."

[more]

Source / Excerpt Available At

[http://www.npr.org/templates/story/story.php?storyId=129299939]

 

>>> Slide Show >>>

[http://www.salon.com/books/feature/2010/08/23/common_as_air_lewis_hyde/slideshow.html]

Monday, 16 August 2010

The P-Word II > The Ontology of Plagiarism: Part Two > Get A Clue

Colleagues/

In response to comments on his recent NY Times Opinionator Piece > Plagiarism Is Not A Big Moral Deal

[http://scholarship20.blogspot.com/2010/08/p-word-stanley-fish-and-i-agree.html] ,

Stanley Fish has authored "The Ontology of Plagiarism: Part Two "

[http://opinionator.blogs.nytimes.com/2010/08/16/the-ontology-of-plagiarism-part-two/].

IMHO > Most Still Do Not (Really) Recognize/Understand The Issue(s) > Please (Do) View / Read My Perspective On The Issue >>>

A few years ago I gave a keynote at the 3rd International Plagiarism Conference / 23 - 25 June 2008 / City Campus East, Northumbria University / Newcastle-upon-tyne, UK /

"Disruptive Scholarship: An Idea Whose Time Has Come: (Re)Use / (Re)Mix / (Re)New"

Abstract

Hadrian's Wall is a stone and turf fortification built by the Roman Empire across the width of modern-day England. ... [It was] 117 kilometres long,

... [I]ts width and height [were] dependent on the construction materials [that] ... were available nearby.

... [T]he wall in the east follow[ed] the outcrop of a hard, resistant igneous diabase rock escarpment ... Local limestone was used in the construction, except for ... section[s] in the west ... where turf was used instead ... .

The Broad Wall was initially built with a clay-bonded rubble core and mortared dressed rubble facing stones, but this seems to have made it vulnerable to collapse, and repair with a mortared core was sometimes necessary.... [I]n time ... [Hadrian's] Wall was abandoned and fell into ruin. Over the centuries and even into the twentieth century a large proportion of the stone was reused in other local buildings.

Throughout history, humans have (re)used local resources to create not only buildings and fortifications, but monuments, roads, and a wide variety of other structures. For countless generations, artists, composers, and writers have freely incorporated elements from local and distant cultures to create new visual, musical, and textual forms.

In The Web 2.0 World, the open (re)combination of multiple media has become commonplace in many venues, practices that Lawrence Lessig [snip], founder of Creative Commons [snip]and others, would characterize as emblematic of a 'Remix ' or 'Read/Write' culture. Indeed, from his point of view, “the health, progress, and wealth creation of a culture is fundamentally tied to this participatory remix process” [snip]

In the recently-released Horizon Report 2008 - a joint publication of the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI), six emerging information technologies and practices that are expected to significantly impact educational organizations are profiled: Grassroots Video, Collaborative Webs, Mobile Broadband, Data Mashups, Collaborative Intelligence, and Social Operating Systems.

In this presentation, we will review the Read/Write Traditions of the Arts, Humanities, and Sciences; analyze key Past / Present / Future Participatory Technologies; and explore the potential of Web 2.0 for creating/fostering Disruptive Learning / Scholarship / Teaching in the 21st century.

The Director's Cut of the (150+ Slides) PPT is available from my _Scholarship 2.0_ blog at

[ http://bit.ly/9riXmc ]

I hope The Title and Abstract indicate That I Have A Different View Of The P-Word [:-)]

/Gerry

Saturday, 14 August 2010

Sharing of Data Leads to Progress on Alzheimer’s > "The Future of Research and Scholarship - Open, Social, Semantic, Mobile"

Colleagues/

On Augst 12 2010, The NYTimes piblished an article titled "Sharing of Data Leads to Progress on Alzheimer’s" >>>

In 2003, a group of scientists and executives from the National Institutes of Health, the Food and Drug Administration, the drug and medical-imaging industries, universities and nonprofit groups joined in a project that experts say had no precedent: a collaborative effort to find the biological markers that show the progression of Alzheimer’s disease in the human brain.

[more]

Source

[http://nyti.ms/9mgrCc]

As Expected > Observed > Predicted  >>>

BTW: Not Only Did The Irish Save Civilization


We Also ForeSaw / Foresee The Future [:-)]

>>> They Are A-Changin' > The Future Of Research And Scholarship: Open / Semantic / Social / Mobile <<<

There are four major themes that are and will become the context and framework of research and scholarship in the 21st Century: Open / Semantic / Social / Mobile

> Open > Open Access / Open Data / Open Peer Review / Open Research

>> Semantic > Audio / Interactivity / Supplemental Content / Video

>>> Social  > Science Blogging / Social Bookmarking / Social Networking / Social Software

>>>> Mobile > Mobile Access / Mobile Content / Mobile Data / Mobile Research

In scheduled presentation(s), we will briefly profile select developments related to these major themes and speculate on their potential evolution and impact on research and scholarship in the coming decade(s).

[http://scholarship20.blogspot.com/2009/05/paradigms-they-are-changin-open.html]

BTW For A summary of my presentation at the National Univerity of Ireland, Galway SEE John Brelsin's blog entry at

[http://bit.ly/9xmGe5]

Thanks, John !!!

BTW: John is the co-author of The Social Semantic Web. Springer, 2010

[http://bit.ly/12TJTX]

JOY !

/Gerry

Wednesday, 11 August 2010

The P-Word > Stanley Fish And I Agree? > Plagiarism Is Not A Big Moral Deal

Colleagues/

New York Times columnist, Stanley Fish,  " ... a professor of humanities and law at Florida International University, in Miami, and dean emeritus of the College of Liberal Arts and Sciences at the University of Illinois at Chicago," recently published his most recent NY Times Opininator column titled >

Plagiarism Is Not a Big Moral Deal

[snip]

Whenever it comes up plagiarism is a hot button topic and essays about it tend to be philosophically and morally inflated. But there are really only two points to make. (1) Plagiarism is a learned sin. (2) Plagiarism is not a philosophical issue.

[snip]

Plagiarism is like that; it’s an insider’s obsession. If you’re a professional journalist, or an academic historian, or a philosopher, or a social scientist or a scientist, the game you play for a living is underwritten by the assumed value of originality and failure properly to credit the work of others is a big and obvious no-no. But if you’re a musician or a novelist, the boundary lines are less clear (although there certainly are some)  ... .

[snip]

And if you’re a student, plagiarism will seem to be an annoying guild imposition without a persuasive rationale (who cares?); for students, learning the rules of plagiarism is worse than learning the irregular conjugations of a foreign language. It takes years, and while a knowledge of irregular verbs might conceivably come in handy if you travel, knowledge of what is and is not plagiarism in this or that professional practice is not something that will be of very much use to you unless you end up becoming a member of the profession yourself.

It follows that students who never quite get the concept right are by and large not committing a crime; they are just failing to become acclimated to the conventions of the little insular world they have, often through no choice of their own, wandered into. It’s no big moral deal; which doesn’t mean, I hasten to add, that plagiarism shouldn’t be punished — if you’re in our house, you’ve got to play by our rules — just that what you’re punishing is a breach of disciplinary decorum, not a breach of the moral universe.
[more]

[http://nyti.ms/cAa1WF]

See Also >The P-Word II > The Ontology of Plagiarism: Part Two > Get A Clue

[http://bit.ly/aI2mmE]
As Some May Know I Have A Different View On The P-Word >

NYTimes > Plagiarism Lines Blur for Students in Digital Age

[http://bit.ly/bEYvK7]

/Gerry

Sunday, 8 August 2010

The Vanguard Factor > Metrics For Ideas Before Their Time(s)

Colleagues/

I am posting to ask if you are aware of any efforts that have/seek to create (a) metric(s) that measure the The Prescience Of Citations(s) > Publication(s) >  Research > Scholarship > Work > Etc. Relative To Current / Recent Citations(s) > Publication(s) > Research > Scholarship > Work > Etc.

That Is >>>

Are there Measures of Previous Activities that have / now been (more) widely Cited > Quoted > Etc > ?

In Short >

Are There Any/All Measure(s) Of The Impact of Those Who Knew / Saw The Future > Before Their Time ? (But Enough About Me [:-)])



Certainly Citaton Analyses / Studies Are One Metric > > >

And I am aware of "A Principal Component Analysis of 39 Scientific Impact Measures", which I blogged just over a year ago >>>

Bollen J, Van de Sompel H, Hagberg A, Chute R, 2009 A Principal Component Analysis of 39 Scientific Impact Measures. PLoS ONE 4(6): e6022. doi:10.1371/journal.pone.0006022

Background

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact.

[more]


[BTW: Thanks Stevan Harnad For The Reminder / I Will ReVisit]

But ...

>>> What I Sense Is Much More Dynamic And Broader >>> Here Goes >>>

To What Degree Can One ***Measure and Incorporate***  >>>

The *Weight* of a subsequently highly-cited ; highly-linked ; highly-shared  ; etc. Article / Idea  / Work >>> That Was Initially Dismissed or Rejected

For Example >

[snip]

Rejecting Nobel-Class Papers

On some occasions, referees have advised editors to reject papers which reported findings that eventually earned the Nobel Prize for their authors.

Documented cases of such rejection include Severo Ochoa’s work on polynucleotide phosphorylase (Ochoa 1980); Hans Krebs’ account of the citric acid cycle (Dixon 1989); Rosalind Yalow’s initial work on radioimmunoassay (Yalow 1982); Murray Gell-Mann’s work on quarks (Crozon 1987); and Harmut Michel’s research on photosynthetic processes (Garfield 1989a). [snip]

Juan Miguel Campanario, “Commentary: On Influential Books and Journal Articles. Initially Rejected Because of Negative Referees' Evaluations," Science Communication 16 no. 3. (March 1995): 306-325.


BTW: We would not only focus on Nobel Prize winners; certainly less Noble [:-)] individuals should be considered  >>>

And 

Would Not The ***Number of Rejections*** prior to eventual publication and high-citations / Etc. be an Indicator of 

???  >>>Prescience <<< ???
And

Could Other Negative Actions (Criticism ; Protests ; Bad Reviews ; Etc.)  Of A Work That Subsequently Became Widely Recognized As Innovative / Insightful / Pioneering / Etc. [?] Also Be Another Component Of

??? >>> The Vanguard Factor <<< ???
And

Could The Lag Time Between Original Publication / Presentation  / Etc. And Subsequent Adoption (At Various Thesholds) Be Useful, That Is >>>

The Longer It Took For An Idea To Become Widely Accepted (At Specific Thesholds), The Greater The Vanguard Factor ?

Others ? >>>

Your (Prescient [:-)] Thoughts  ? / Please Leave As A Comment >>>

BTW:  I've been/will be in touch with The Usual Suspects > Stevan, Gene, Barry, two of whom are native Bronxites like myself [To my knowledge Stevan is not [:-)]

!!! Thanks A Million !!!

/Gerry

" There Is Nothing More Powerful Than An Idea Whose Time Has Come!" / Victor Hugo

Friday, 6 August 2010

The Scientist > August 2010 > Peer Review Rejected

The August 2010 Issue Of The Scientist Features
Great Articles About Peer Review

Editorial > Peer Review and the Age of Aquarius / Sarah Greene

[snip]

More than 300 years since the invention of peer review and 30 years post-Web, it’s time to act. Lest we forget, the Web was originally designed to disrupt scientific publishing, as recently noted by Michael Clarke in the Scholarly Kitchen blog.

The first major disruption has been open access (OA) publishing, a prerequisite for the new metrics, which thrive on increasing numbers of papers and data. And despite its fledgling status, OA has ushered in a second major disruption to the scientific establishment: post-publication peer review (PPPR), in a variety of experiments and formulations, pioneered by BioMedCentral and PubMedCentral.

[snip]

 Thus, transparency and ongoing scrutiny by a much wider community can minimize the failures of traditional peer review (depicted on the cover of this issue), and can also bring to light innovations and discoveries that may have been ahead of the curve at the time of publication. Robust involvement by the community is required, and proposed “reputation systems” may be the key to ensure rewards for commenting and revising.

[more]

[http://www.the-scientist.com/article/display/57580/#ixzz0vqVNNNyq]

Article 1 > Breakthroughs from the Second Tier / The Scientist Staff

Peer review isn’t perfect— meet 5 high-impact papers that should have ended up in bigger journal

[snip]

One of the most commonly voiced criticisms of traditional peer review is that it discourages truly innovative ideas, rejecting field-changing papers while publishing ideas that fall into a status quo and the “hot” fields of the day—think RNAi, etc. Another is that it is nearly impossible to immediately spot the importance of a paper—to truly evaluate a paper, one needs months, if not years, to see the impact it has on its field.

In the following pages, we present some papers that suggest these two criticisms are correct, at least in part. These studies were published in lower-profile journals (all with current impact factors of 6 or below), suggesting they should have had less of an impact. But these papers eventually accumulated at least 1,000 citations. Many were rejected from higher-tier journals. All changed their fields forever.

Twenty years ago, David Kaplan of the Case Western Reserve University had a manuscript rejected, and with it came what he calls a “ridiculous” comment. “The comment was essentially that I should do an x-ray crystallography of the molecule before my study could be published,” he recalls, but the study was not about structure. The x-ray crystallography results, therefore, “had nothing to do with that,” he says. To him, the reviewer was making a completely unreasonable request to find an excuse to reject the paper.

[more]

[http://www.the-scientist.com/2010/8/1/30/1/]

Article 2 > I Hate Your Paper / Jef Akst

Kaplan says these sorts of manuscript criticisms are a major problem with the current peer review system, particularly as it’s employed by higher-impact journals. Theoretically, peer review should “help [authors] make their manuscript better,” he says, but in reality, the cutthroat attitude that pervades the system results in ludicrous rejections for personal reasons—if the reviewer feels that the paper threatens his or her own research or contradicts his or her beliefs, for example—or simply for convenience, since top journals get too many submissions and it’s easier to just reject a paper than spend the time to improve it. Regardless of the motivation, the result is the same, and it’s a “problem,” Kaplan says, “that can very quickly become censorship.”

[more]

[http://www.the-scientist.com/2010/8/1/36/1/]

Associated Podcast /  Comments Available At

[http://www.the-scientist.com/2010/8/1/36/1/#audio1]

Article 3 > Is Peer Review Broken?

Submissions are up, reviewers are overtaxed, and authors are lodging complaint after complaint about the process at top-tier journals. What's wrong with peer review?

[http://www.the-scientist.com/article/display/23061/] / Subscriber Access

Related > Citations: Too Many, or Not Enough?  / William J. Pearce

[snip]

The introduction of PubMed in the mid-1990s revolutionized the process of finding and retrieving relevant literature. With much of the drudgery and inconvenience gone, long lists of potentially important publications could be compiled quickly and easily on any computer with an Internet connection. The parallel development of reference database management software further expanded the ability to compile and organize large numbers of abstracts, and ultimately article PDFs.

On one hand, these impressive tools greatly facilitated preparation of comprehensive literature reviews with unprecedented breadth. On the other hand, easy access to so many publications reinforced the temptation to read each paper cited less critically, and sometimes not at all. Thus was born the practice of citing numerous diverse publications to support a point of discussion, instead of citing the one or two most relevant publications with the greatest impact on a field, as if quantity and quality of citations were interchangeable and equally persuasive. [snip]

[more]

[http://www.the-scientist.com/2010/8/1/29/1/]

>>> As Some May Know I've Long Had An Interest In Alternative Peer Review >>>

"Alternative Peer Review: Quality Management for 21st Century Scholarship"


> >> It's A Large PPT (200+ Slides) >>>

>>> But IMHO ... Well Worth The Experience [:-)] <<<

A Synopsis Of The Presentation In Article Form >>>


"Peer Review in the Internet Age: Five (5) Easy Pieces," Against the Grain 16, no. 3 (June 2004): 50, 52-55.

Self-archived at

See Also

> Invisible Hand(s): Quality Assurance in the Age of Author Self-Archiving


>> Quality Assurance in the Age of Author Self-Archiving 

[http://www.public.iastate.edu/~gerrymck/ACRL2005.ppt] / 110+ Slides

[http://www.public.iastate.edu/~gerrymck/ACRL2005.pdf]

"It's Not About Publication; It's About Ideas"

Wednesday, 18 November 2009

Article-Level Metrics And The Evolution Of Scientific Impact

Neylon C, Wu S (2009) Article-Level Metrics and the Evolution of Scientific Impact. PLoS Biol 7(11): e1000242. doi:10.1371/journal.pbio.1000242 / Published: November 17, 2009

Formally published papers that have been through a traditional prepublication peer review process remain the most important means of communicating science today. Researchers depend on them to learn about the latest advances in their fields and to report their own findings. The intentions of traditional peer review are certainly noble: ... . In principle, this system enables science to move forward on the collective confidence of previously published work. Unfortunately, the traditional system has inspired methods of measuring impact that are suboptimal for their intended use.

Measuring Impact

Peer-reviewed journals have served an important purpose in evaluating submitted papers and readying them for publication. In theory, one could browse the pages of the most relevant journals to stay current with research on a particular topic. But as the scientific community has grown, so has the number of journals—to the point where over 800,000 new articles appeared in PubMed in 2008 ... and the total is now over 19 million ... . The sheer number makes it impossible for any scientist to read every paper relevant to their research, and a difficult choice has to be made about which papers to read. Journals help by categorizing papers by subject, but there remain in most fields far too many journals and papers to follow.

As a result, we need good filters for quality, importance, and relevance to apply to scientific literature. There are many we could use but the majority of scientists filter by preferentially reading articles from specific journals—1those they view as the highest quality and the most important. These selections are highly subjective but the authors' personal experience is that most scientists, when pressed, will point to the Thomson ISI Journal Impact Factor [1] as an external and “objective” measure for ranking the impact of specific journals and the individual articles within them.

Yet the impact factor, which averages the number of citations per eligible article in each journal, is deeply flawed both in principle and in practice as a tool for filtering the literature. It is mathematically problematic ... with around 80% of a journal impact factor attributable to around 20% of the papers, even for journals like Nature ... . It is very sensitive to the categorisation of papers as “citeable” ... and it is controlled by a private company that does not have any obligation to make the underlying data or processes of analysis available. [snip]

Though the impact factor is flawed, it may be useful for evaluating journals in some contexts, and other more sophisticated metrics for journals are emerging ... . But for the job of assessing the importance of specific papers, the impact factor—or any other journal-based metric for that matter—cannot escape an even more fundamental problem: it is simply not designed to capture qualities of individual papers.

Article-Level Metrics

If choosing which articles to read on the basis of journal-level metrics is not effective, then we need a measure of importance that tells us about the article. It makes sense that when choosing which of a set of articles to read, we should turn to “article-level metrics,” yet in practice data on individual articles are rarely considered, let alone seriously measured.

Perhaps the main reason for this absence is a practical one. Accurate determining the importance of an article takes years and is very difficult to do objectively. The “gold standard” of article impact is formal citations in the scholarly literature, but citation metrics have their own challenges. One is that citation metrics do not take the “sentiment” of the citation into account, so while an article that is heavily cited for being wrong is perhaps important in its own way ... , using citation counts without any context can be misleading. The biggest problem, though, is the time-delay inherent in citations. [snip]

The Trouble with Comments

A common solution proposed for getting rapid feedback on scientific publications is inspired by the success of many Web-based commenting forums. Sites like Stack Overflow, Wikipedia, and Hacker News each have an expert community that contributes new information and debates its value and accuracy. It is not difficult to imagine translating this dynamic into a scholarly research setting where scientists discuss interesting papers. A spirited, intelligent comment thread can also help raise the profile of an article and engage the broader community in a conversation about the science.

Unfortunately, commenting in the scientific community simply hasn't worked, at least not generally. [snip]

[snip]

Part of this resistance to commenting may relate to technical issues, but the main reason is likely social. For one thing, researchers are unsure how to behave in this new space. We are used to criticizing articles in the privacy of offices and local journal clubs, not in a public, archived forum. [snip]

Another issue is that the majority of people making hiring and granting decisions do not consider commenting a valuable contribution. [snip]

Then there is simply the size of the community. [snip] But it also means that if only 100 people read a paper, it will be lucky if even one of them leaves a comments

Technical Solutions to Social Problems

Given the lack of incentive, are there ways of capturing article-level metrics from what researchers do anyway? A simple way of measuring interest in a specific paper might be via usage and download statistics; for example, how many times a paper has been viewed or downloaded, how many unique users have shown an interest, or how long they lingered. [snip] These statistics may not be completely accurate but they are consistent, comparable, and considered sufficiently immune to cheating to be the basis for a billion dollar Web advertising industry.

A more important criticism of download statistics is that it is a crude measure of actual use. How many of the downloaded papers are even read, let alone digested in detail and acted upon? What we actually want to measure is how much influence an article has, not how many people clicked on the download button thinking they “might read it later.” A more valuable metric might be the number of people who have actively chosen to include the paper in their own personal library. [snip]

Examples of such tools are Zotero, Citeulike, Connotea, and Mendeley, which all allow the researcher to collect papers into their library while they are browsing on the Web, often in a single click using convenient “bookmarklets.” The user usually has the option of adding tags, comments, or ratings as part of the bookmarking process. [snip]

Metrics collected by reference management software are especially intriguing because they offer a measure of active interest without requiring researchers to do anything more than what they are already doing. Scientists collect the papers they find interesting, take notes on them, and store the information in a place that is accessible and useful to them. [snip]

Part of the solution to encouraging valuable contributions, then, may simply be that the default settings involve sharing and that people rarely change them. A potentially game-changing incentive, however, may be the power to influence peers. [snip]

It is too early to tell whether any specific tools will last, but they already demonstrate an important principle: a tool that works within the workflow that researchers are already using can more easily capture and aggregate useful information. [snip]

The Great Thing about Metrics…Is That There Are So Many to Choose From

There are numerous article-level metrics ... and each has its own advantages and problems. Citation counts are an excellent measure of influence and impact but are very slow to collect. Download statistics are rapid to collect but may be misleading. Comments can provide valuable and immediate feedback, but are currently sparse ... .. Bookmarking statistics can be both rapid to collect and contain high quality information but are largely untested and require the widespread adoption of unfamiliar tools. Alongside these we have “expert ratings” by services such as Faculty of 1000 and simple rating schemes.

[snip]

“Other Indicators of Impact” include ratings and comments, which, like page views, are immediate but may offer more insight because users are more likely to have read the article and found it compelling enough to respond. Additional other indicators are bookmarks, used by some people to keep track of articles of interest to them, and blog posts and trackbacks, which indicate where else on the Web the article has been mentioned and can be useful for linking to a broader discussion. It is clear that all of the types of data provide different dimensions, which together can give a clearer picture of an article's impact.

[snip] As recently shown ... , scientific impact is not a simple concept that can be described by a single number. The key point is that journal impact factor is a very poor measure of article impact. And, obviously, the fact that an article is highly influential by any measure does not necessarily mean it should be.

Many researchers will continue to rely on journals as filters, but the more you can incorporate effective filtering tools into your research process, the more you will stay up-to-date with advancing knowledge. The question is not whether you should take article-level metrics seriously but how you can use them most effectively to assist your own research endeavours. We need sophisticated metrics to ask sophisticated questions about different aspects of scientific impact and we need further research into both the most effective measurement techniques and the most effective uses of these in policy and decision making. For this reason we strongly support efforts to collect and present diverse types of article-level metrics without any initial presumptions as to which metric is most valuable. [snip]

As Clay Shirky famously said ... , you can complain about information overload but the only way to deal with it is to build and use better filters. It is no longer sufficient to depend on journals as your only filter; instead, it is time to start evaluating papers on their own merits. Our only options are to publish less or to filter more effectively, and any response that favours publishing less doesn't make sense, either logistically, financially, or ethically. The issue is not how to stop people from publishing, it is how to build better filters, both systematically and individually. At the same time, we can use available tools, networks, and tools built on networks to help with this task.

So in the spirit of science, let's keep learning and experimenting, and keep the practice and dissemination of science evolving for the times.

References

Source

[http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1000242]

!!! Thanks To / Garrett Eastman / Librarian / Rowland Institute at Harvard / For The HeadsUp !!!

>>> While These Insights and Suggestions Are An Important Contribution To The Conversation , In Many Ways The Views And Recommendation Are Far From Radical <<<

See My Presentation Delivered At the Workshop On Peer Review, Trieste, Italy, May 23-24 2003

"Alternative Peer Review: Quality Management for 21st Century Scholarship"

[http://www.public.iastate.edu/~gerrymck/APR-1.ppt]

>>> See In Particular > 'Seize The E! Section >>> Embrace the potential of the digital environment to facilitate access, retrieval, use, and navigation of electronic scholarship.

>>It's A Large PPT (200+ Slides) But IMHO ... Well Worth The Experience [:-)]<<

AND

The Big Picture(sm): Visual Browsing in Web and non-Web Databases

[http://www.public.iastate.edu/~CYBERSTACKS/BigPic.htm]

To ReQuote T.S. Elloit >

"Where is the wisdom we have lost in knowledge? Where is the knowledge that we have lost in information?"/ T.S. Eliot / The Rock (1934) pt.1

To Quote Me >

"It's Not About Publication, It's About Ideas"

>> We Now Have The Computational Power To Make Real-Time Conceptual Navigation An EveryDay Occurrence <<<

!! Let Us Use It To Navigate Ideas !!!

Indeed Let Us Continue "... experimenting, and keep the practice and dissemination of science evolving for the times."

See Also/Related

[http://scholarship20.blogspot.com/2009/09/article-level-metrics-at-plos-addition.html]

[http://scholarship20.blogspot.com/2009/06/article-level-metrics-at-plos-and.html]

Thursday, 29 October 2009

eCAT: Online Electronic Lab Notebook For Scientific Research

Nigel H Goddard , Rory Macneil and Jonathan Ritchie / Automated Experimentation / 2009 /  1:4  / doi:10.1186 /1759-4499-1-4 /  Published: 29 October 2009


Abstract (provisional)

Background

eCAT is an electronic lab notebook (ELN) developed by Axiope Limited.

[http://www.axiope.com/electronic_lab_notebook_index.html]

It is the first online ELN, the first ELN to be developed in close collaboration with lab scientists, and the first ELN to be targeted at researchers in non-commercial institutions. eCAT was developed in response to feedback from users of a predecessor product. By late 2006 the basic concept had been clarified: a highly scalable web-based collaboration tool that possessed the basic capabilities of commercial ELNs, i.e. a permissions system, controlled sharing, an audit trail, electronic signature and search, and a front end that looked like the electronic counterpart to a paper notebook.

Results

During the development of the beta version feedback was incorporated from many groups including the FDA's Center for Biologics Evaluation & Research, Uppsala University, Children's Hospital Boston, Alex Swarbrick's lab at the Garvan Institute in Sydney and Martin Spitaler at Imperial College. More than 100 individuals and groups worldwide then participated in the beta testing between September 2008 and June 2009. The generally positive response is reflected in the following quote about how one lab is making use of eCAT: "Everyone uses it as an electronic notebook, so they can compile the diverse collections of data that we generate as biologists, such as images and spreadsheets. We use to it to take minutes of meetings. We also use it to manage our common stocks of antibodies, plasmids and so on. Finally, perhaps the most important feature for us is the ability to link records, reagents and experiments."

Conclusions

By developing eCAT in close collaboration with lab scientists, Axiope has come up with a practical and easy to use product that meets the need of scientists to manage, store and share data online. eCAT is already being perceived as a product that labs can continue to use as their data management and sharing grows in scale and complexity.

The complete article is [now] available as a provisional PDF

[http://www.aejournal.net/content/pdf/1759-4499-1-4.pdf]

The fully formatted PDF and HTML versions are in production [10-29-09]

Source

[http://www.aejournal.net/content/1/1/4]

!!! Thanks To / Garrett Eastman / Librarian / Rowland Institute at Harvard / For The HeadsUp !!!

Wednesday, 16 September 2009

Article-Level Metrics At PLoS > Addition Of Usage Data

Submitted by Mark Patterson on Wed, 2009-09-16 11:10.

 

As part of our ongoing article-level metrics program, we’re delighted to announce that all seven PLoS journals will now provide online usage data for published articles. With this addition, the suite of metrics on PLoS articles now includes measures of: online usage; citations from the scholarly literature; social bookmarks; blog coverage; and the Comments, Notes and ‘Star’ ratings that have been made on the article.

As discussed recently, we at PLoS feel that there is much to be gained from assessing research articles on their own merits rather than on the basis of the journal (and its impact factor) where the work happens to be published. [snip]


PLoS has therefore embarked on a program to aggregate a range of available data about an article and place that data on the article itself. The data are found on the new tab called ‘Metrics’, available on all articles. A reader can now scan the various metrics to determine the extent to which the article has been viewed, cited, covered in the media and so forth. With the addition of usage data to the article-level metrics we have taken another step towards providing the community with valuable data that can be used and analyzed.

In order to make article-level metrics as open and useful as possible, we are providing our entire dataset as a downloadable spreadsheet and we encourage interested researchers to download the data and perform their own analyses.


We will be updating this spreadsheet periodically, but on launch the data it contains are correct up to July 31st, 2009. Future developments in our article-level metrics program will include the provision of more data for each metric ... and new indicators as they arise, as well as the development of more sophisticated display and analysis tools on the site itself.

We believe that article-level metrics represent an important development for scholarly publishing[snip].

It’s also important to emphasize that online usage should not be seen as an absolute indicator of quality for any given article, and such data must be interpreted with caution. To provide additional context and to aid interpretation, we have provided a series of summary tables indicating the average usage of categories of article (grouped by age, journal and topic area).


Users will also notice that a number of articles do not have any usage data, because of problems with the log files. We are working hard to add data for these articles, and we also encourage readers to let us know if they find any anomalies or have any questions about the data. More information about our article-level metrics program can be found in our FAQ,




as well as in this page of descriptive text for each journal (e.g for PLoS Biology and PLoS ONE). We look forward to your feedback, and to further developments in article-level metrics.


Mark Patterson, Director of Publishing

Media and other enquiries to Liz Allen, Director of Marketing, Tel (001) 415 624 1218
Source


YouTube Video (Thanks To Garrett Eastman /  Librarian / Rowland Institute At Harvard / For The HeadsUp)

[http://www.youtube.com/watch?v=jHUqwxIxgZQ]

Article-Level Download Metrics—What Are They Good For?

[http://www.plos.org/cms/node/487]

Sunday, 13 September 2009

Berkman Center Lecture / Webcast > Transforming Scholarly Communication | September 18 2009 |

Lee Dirks / Director, Education & Scholarly Communication / Microsoft External Research

Friday/ September 18, 1:15pm / Pound Hall Room 100 (Map) / Free and Open to the Public /

In Person > RSVP Requested / Webcast > Live at 1:15 pm ET.

This event is co-sponsored by the Harvard Business School Knowledge and Library Services, Harvard Law School Library, and the Office for Scholarly Communication.
In the future, frontier research in many fields will increasingly require the collaboration of globally distributed groups of researchers needing access to distributed computing, data resources and support for remote access to expensive, multi-national specialized facilities such as telescopes and accelerators or specialist data archives.

There is also a general belief that an important road to innovation will be provided by multi-disciplinary and collaborative research – from bio-informatics and earth systems science to social science and archeology. There will also be an explosion in the amount of research data collected in the next decade - petabytes will be common in many fields. These future research requirements constitute the 'eResearch' agenda.

Powerful software services will be widely deployed on top of the academic research networks to form the necessary 'Cyberinfrastructure' to provide a collaborative research environment for the global academic community.

The difficulties in combining data and information from distributed sources, the multi-disciplinary nature of research and collaboration, and the need to move to present researchers with tooling that enable them to express what they want to do rather than how to do it highlight the need for an ecosystem of Semantic Computing technologies.

Such technologies will further facilitate information sharing and discovery, will enable reasoning over information, and will allow us to start thinking about knowledge and how it can be handled by computers.This talk will review the elements of this vision and explain the need for semantic-oriented computing by exploring eResearch projects that have successfully applied relevant technologies — and anticipated impact on scholarly communication as we know it today.
It will also suggest that a software + service model with scientific services delivered from the cloud will become an increasingly accepted model for research.

About Lee

Lee Dirks is the Director of Education & Scholarly Communications in Microsoft’s External Research division, where he manages a variety of research programs related to open access to research data, interoperability of archives and repositories, preservation of digital information as well as the application of new technologies to facilitate teaching and learning in higher education.An 20-year veteran across multiple information management fields,

Lee holds an M.L.S. degree from the University of North Carolina-Chapel Hill as well as a post-masters degree in Preservation Administration from Columbia University. In addition to past positions at Columbia and with OCLC (Preservation Resources), Lee has held a variety of roles at Microsoft since joining the company in 1996 - namely as the corporate archivist, then corporate librarian, and as a senior manager in the corporate market research organization.In addition to participation on several (US) National Science Foundation task forces, Lee also teaches as adjunct faculty at the iSchool at the University of Washington, and serves on the advisory boards for the University of Washington Libraries as well as the iSchool's Master of Science in Information Science program.

During his career, his team's work on the library intranet site at Microsoft was recognized as a "Center of Excellence Award for Technology" in 2003 by the Special Library Association's (SLA) Business & Finance Division. Additionally, Lee was presented with the 2006 Microsoft Marketing Excellence Award by Microsoft CEO Steve Ballmer – for a marketing & engineering partnership around a breakthrough market opportunity analysis process which is now a standard operating procedure across Microsoft.

Source

[http://cyber.law.harvard.edu/events/2009/09/dirks]

!!! Thanks To Peter Suber / SPARC Open Access Forum / For The HeadsUp !!!

In Person > RSVP Requested / Webcast > Live at 1:15 pm ET.

EtherPad Notes

[http://etherpad.com/ULH4DIAd1i]

Twitter HashTag

[http://twitter.com/search?q=%23transcholcomm]

Sunday, 6 September 2009

PostRank™ > Online Content Ranking

PostRank™ is a scoring system developed by AideRSS to rank any kind of online content, such as RSS feed items, blog posts, articles, or news stories. PostRank is based on social engagement, which refers to how interesting or relevant people have found an item or category to be.

>>> Best Viewed In Firefox <<<

Examples of engagement include writing a blog post in response to someone else, bookmarking an article, leaving a comment on a blog, or clicking a link to read a news item.


PostRank measures engagement by analyzing the types and frequency of an audience's interaction with online content. An item's PostRank score represents how interesting and relevant people have found it to be. The more interesting or relevant an item is, the more work they will do to share or respond to that item so interactions that require more effort are weighted higher.

PostRank scoring is based on analysis of the "5 Cs" of engagement: creating, critiquing, chatting, collecting, and clicking. By collecting interaction engagement_metrics in these categories the overall engagement score is calculated and the PostRank value is determined.

The 5 Cs of Engagement

  • Creating
    The strongest form of engagement is demonstrated by using an item as inspiration to create your own, for example, writing your own blog post that responds to or refutes someone else's blog post. Creation requires the most thought and investment of time, actively generates conversation, and therefore indicates the highest level of engagement.

  • Critiquing
    Reading a blog post and then leaving a comment requires an investment of time, thought and effort (or sometimes just typing and name-calling...), and is a form of conversation. However, it requires less effort than writing a whole blog post. So while it is an important action, it does not indicate as much engagement as Creating.
  • Chatting
    Sharing and discussing information can often be started with one click, so it doesn't require a major investment of effort. However, a desire to share is a strong indication of relevance, and the act of sharing and its ensuing discussion are acts of conversation. Use of social media applications like
    Twitter encourage both the sharing of information and the resulting conversations. As a result, social media "chatting" indicates a good level of engagement.
  • Collecting
    Bookmarking or submitting items to social sites also tend to be "one-click" actions. They are intentional acts of archiving and sharing, but don't require much time or effort. However, the sharing that occurs often sparks conversations, so Collecting does demonstrate some engagement.

  • Clicking
    Activities like clicks and page views indicate lower engagement because they're passive interactions. Clicking a link to read a blog post doesn't require much work, and you're not giving anything back except your reading time. It is an intentional act, however, and thus indicates a mild level of interest and engagement. Which may grow after the item is read.

[snip]

Engagement Sources We Track

Engagement sources evolve as new and interesting ways of interacting with with online content evolves. Here are several examples of engagement data sources that are included in PostRank:

  • Views - Real-time > Pageviews within RSS readers and via PostRank widgets

  • Clicks - Real-time > Clicks within RSS readers and via PostRank widgets

  • Comments - Periodic updates > The number of comments on the item

  • Google Trackbacks - Periodic updates > The number of links to the item from other websites

  • FriendFeed - Real-time >The number of comments and likes on the item

  • Digg - Real-time > The number of diggs, and comments on the item

  • Reddit - Real-time > The number of comments and votes (up and down) on the item

  • Tumblr - Real-time > The number of Tumblr mentions

  • del.icio.us - Real-time > The number of bookmarks saved

  • Ma.gnolia - Real-time > The number of bookmarks saved

  • Diigo - Real-time > The number of bookmarks saved

  • Furl - Real-time > The number of bookmarks saved

  • Twitter - Real-time > The number of Twitter mentions

  • Jaiku - Real-time > The number of Jaiku mentions

  • Identi.ca - Real-time > The number of Identi.ca mentions

  • Brightkite - Real-time > The number of Brightkite mentions

  • Twit Army - Real-timec > The number of Twit Army mentions

  • Blip - Real-time > The number of Blip mentions

  • Feecle - Real-time > The number of Feecle mentions

  • MexicoDiario - Real-time > The number of MexicoDiario mentions

Source

[http://www.postrank.com/postrank#what]

FAQ

[
http://blog.postrank.com/faq/]

Getting Started

[
http://blog.postrank.com/getting-started/]

Press & Web 2.0 Media Coverage

[
http://blog.postrank.com/media/]

Subscriptions

[
http://www.postrank.com/subscriptions]

Company Information

[http://blog.postrank.com/about/]
Girls Generation - Korean