The Economic Logic of ‘Open Science’ and the Balance between Private Property Rights and the Public Domain in Scientific Data and Information: A Primer | SIEPR

“The progress of scientific and technological knowledge is a cumulative process, one that depends in the long?run on the rapid and widespread disclosure of new findings, so that they may be rapidly discarded if unreliable, or confirmed and brought into fruitful conjunction with other bodies of reliable knowledge. “Open science” institutions provide an alternative to the intellectual property approach to dealing with difficult problems in the allocation of resources for the production and distribution of information. As a mode of generating reliable knowledge, “open science” depends upon a specific non-market reward system to solve a number of resource allocation problems that have their origins in the particular characteristics of information as an economic good. There are features of the collegiate reputational reward system — conventionally associated with open science practice in the academy and public research institutes – that create conflicts been the ostensible norms of ‘cooperation’ and the incentives for non-cooperative, rivalrous behavior on the part of individuals and research units who race to establish “priority.” These sources of inefficiency notwithstanding, open science is properly regarded as uniquely well suited to the goal of maximising the rate of growth of the stock of reliable knowledge.

High access charges imposed by holders of monopoly rights in intellectual property have overall consequences for the conduct of science that are particularly damaging to programs of exploratory research which are recognized to be vital for the long-term progress of knowledge-driven economies….”

Lokaverkefni: “Opinn aðgangur að rannsóknum : tækifæri og áskoranir fyrir háskólasamfélagið á íslandi” | Skemman

A thesis by Sigurbjörg Jóhannesdóttir, submitted in October 2015. 

Abstract:  Open Access (OA) are introduced and discussed associated with open scholarship and the international scientific community. The status of Open Access in Iceland is explored through the laws and policies relating to OA, gratis and libre publications within scholarly journals, publication within open repositories, and the opportunities that scientists have to publish scholarly papers in OA.

Data was collected through interviews with experts in the Open Access field. Two questions were used from a study of OA that was conducted among scientists at Reykjavik University (RU) 2014, as well as an analysis of a list of their published articles in scholarly journals in 2013. 

The results show that OA is growing slowly in Iceland. Four institutions have OA policies. Icelandic scientists are not taking full advantage of the rules of journals about publishing articles within OA. Scientists’ beliefs concerning the barriers standing in their way for publishing sholarly papers in OA are based on a lack of knowledge and a lack of access to institutional repositories in which they might wish to publish their articles. 

The opportunities and challenges that Icelandic universities face regarding open sholarship are outlined and discussed. The universities need to have policies for OA and Open Educational Resources (OER) which are consistent with what is happening internationally. Academics need to receive helpful information on OA, they also need to receive encouragement, advice and support concerning publishing in OA. The universities and the scientific community in Iceland need to take a joint decision on what are the best ways for the continued preservation and publication of research and educational resources in OA.

John Dove, Overcoming Inertia in Green Open Access Adoption

“Here’s a little exercise which I’ve now done looking at research papers in a wide variety of disciplines. Look at the referenced sources in a recently published paper. Unless you are reading….this paper at one of the few fully-funded research libraries, you will find that a significant number of the referenced sources are unavailable to you. Open access is simply not there….Lots of the referenced sources will have to be obtained by inter-library loan or not at all. Your ability to participate in the scholarly inquiries of your field are highly constrained….I think there’s a case to be made that journal publishers may be missing a trick. There is a point in time when a publisher’s self-interest in the quality of their about-to-be-published work would be well-served by encouraging authors of referenced sources to share their past articles. This is also a moment in time at which the authors of referenced sources are also missing a trick but are unaware of it…..”

Open Science: The Next Frontier for Neurology

“What are One Mind’s open science principles?

To support Open Science for brain disease and injury, One Mind urges the international research community to adopt the following principles:

Provide informed consents for collection of medical data obtained from patients, which should permit use of their de-identified (anonymous) data for research related to a broad range of conditions — consistent with protecting patient privacy.

Use widely accepted common data elements and conform to the highest possible standards when clinical data is collected. This enables it to be used by the widest possible array of users, whether academic, medical, clinical or commercial.

Make data available to the research community as soon as possible after study completion, with the goal of opening data access within six months whenever possible.

Make data accessible to external researchers during the course of a study (subject to relevant data use agreements).

Give data generators proper attribution & credit from those who use their data.

Do not delay the publication of findings, as it may affect patient care.

Intellectual property should not stand in the way of research, but be used to incentivize material participation….”

Dr. Jessica Polka: Revolutionizing Biomedical Research Communication

“In the longer-term future, one could envision a system where researchers post their scientific contributions; a paper, a single figure, a method, a hypothesis; where we have the potential to make smaller contributions to the global knowledge base and get credit for those contributions in a manner that is more rapid and incremental. This would allow multiple scientists to collaborate and contribute to what we now know of as a single paper. Part of the challenge of the next 10 years is the problem of increasing information overload. Journals in the life sciences are aware that preprints have been around in physics for 25 years, and that the existence of preprints do not diminish the need for journals in that field. It is already impossible for a person to read all the relevant literature in their area, and this will only get harder. We need better tools to read and comprehend the literature, and a lot of these tools will be given by innovations in software and machine learning. My hope is that more of the literature is accessible to text and data mining, which will enhance our ability to understand the literature beyond that of a single human reader….”

WHO | Joint statement on public disclosure of results from clinical trials

“The signatories of this joint statement affirm that the prospective registration and timely public disclosure of results from all clinical trials is of critical scientific and ethical importance. Furthermore timely results disclosure reduces waste in research, increases value and efficiency in use of funds and reduces reporting bias, which should lead to better decision-making in health.

Within 12 months of becoming a signatory of this statement, we each pledge to develop and implement a policy with mandated timeframes for prospective registration and public disclosure of the results of clinical trials that we fund, co-fund, sponsor or support. We each agree to monitor registration and endorse the development of systems to monitor results reporting on an ongoing basis. We agree to share challenges and progress in the monitoring of these policies. We agree that transparency is important and therefore the outputs from the monitoring process will be publicly available….”

Exploiting Elsevier’s Creative Commons License Requirement to Subvert Embargo

“In the last round of author sharing policy revisions, Elsevier created a labyrinthine title-by-title embargo structure requiring embargoes from 12-48 months for author sharing via institutional repository (IR), while permitting immediate sharing via author’s personal website or blog. At the same time, all pre-publication versions are to bear a Creative Commons-Attribution-Noncommercial-No Derivatives (CC-BY-NC-ND) license. At the time this policy was announced, it was rightly criticized by many in the scholarly communication community as overly complicated and unnecessary. However, this CC licensing requirement creates an avenue for subverting the embargo in the IR to achieve quicker open distribution of the author’s accepted manuscript. In short, authors may post an appropriately licensed copy on their personal site, at which point we may deposit without embargo in the IR, not through the license granted in the publication agreement, but through the CC license on the author’s version, which the sharing policy mandates. This poster will outline this issue, our experimentation with application, and engage viewers in questions regarding its potential risks, benefits, and workflows.”

 

For better, faster ocean science, researchers look to the cloud | Human Nature – Conservation International Blog

“For the past five years, the team behind the global ocean health report card, Ocean Health Index (OHI), have been trying to figure out how to reproduce their science faster. Assessing the scores on everything from biodiversity to tourism for 220 coastal nations and territories is a massive undertaking — and it involves synthesizing data from nearly 100 sources.

OHI scientists — including several from Conservation International, the index’s co-developer — knew there was a way to do ‘better science in less time.’ A new paper in the journal Nature details how they were able to do just that: By borrowing philosophies, tools and workflows primarily created for software development, OHI scientists fundamentally changed their approach to science. Human Nature sat down with the study’s lead author, Ocean Health Index project scientist Julia Stewart Lowndes, to discuss the key to this new approach: open science.”

Wide-Open: Accelerating public data release by automating detection of overdue datasets

Abstract

 

 

Open data is a vital pillar of open science and a key enabler for reproducibility, data reuse, and novel discoveries. Enforcement of open-data policies, however, largely relies on manual efforts, which invariably lag behind the increasingly automated generation of biological data. To address this problem, we developed a general approach to automatically identify datasets overdue for public release by applying text mining to identify dataset references in published articles and parse query results from repositories to determine if the datasets remain private. We demonstrate the effectiveness of this approach on 2 popular National Center for Biotechnology Information (NCBI) repositories: Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). Our Wide-Open system identified a large number of overdue datasets, which spurred administrators to respond directly by releasing 400 datasets in one week.

Wide-Open accelerates release of scientific data by identifying overdue datasets

“Advances in genetic sequencing and other technologies have led to an explosion of biological data, and decades of openness (both spontaneous and enforced) mean that scientists routinely deposit data in online repositories. But researchers are only human and may forget to tell a repository to release the data when a paper is published.

A new tool, developed by University of Washington and Microsoft researchers Maxim Grechkin, Hoifung Poon and Bill Howe, and described in a Community Page article publishing June 8 in the open access journal PLOS Biology, hopes to get around this problem and help advance open science by automatically detecting datasets that are overdue for publication…..”