Elsevier releases report "Research Futures: drivers and scenarios for the next decade"

Elsevier has released a report explaining its part in improving “the information system supporting research” over the next decade...

https://www.elsevier.com/connect/elsevier-research-futures-report

The need for science to focus on data sharing

From: http://sciencemeetsbusiness.com.au/nas-releases-open-science-report-claims-data-just-valuable-publication/?

The need for science to focus on data sharing

July 27, 2018

Should scientists’ incentives place as much emphasis on how openly available they make their data, as on the scholarly articles they publish?

The USA’s National Academies of Sciences (NAS) has released a new study that sheds light on the state of open science around the world. The report, Open Science by Design: Realizing a Vision for 21st Century Research, says different scientific disciplines are facing different issues, but all of them need to focus on data as much as publications.  More....

How bad data practice is leading to bad data research

https://www.forbes.com/sites/kalevleetaru/2018/02/19/how-bad-data-practice-is-leading-to-bad-research/#e76a25f1c354

A long but very well thought out article that encourages us to look beyond the ability to reuse data to whether the data is appropriate for  the questions being asked.

The very last paragraph sums it up:

Putting this all together, poor data practice, from honest statistical error to misunderstanding of data and methods, failure to normalize to malicious manipulation, coupled with copy-paste Google Scholar-ship, threatens to call into question many of the findings of data-driven research and is creating a dangerous landscape where a single honest spreadsheet error can reshape government policy, where "data" is conflated with "truth" and where dubious results are accepted as “fact” through the gilded veneer of data.

How do researchers pay for data publishing?

Results of a recent submitter survey by Dyrad:

https://blog.datadryad.org/2017/04/18/how-do-researchers-pay-for-data-publishing-results-of-a-recent-submitter-survey/

Key takeaways

Our preliminary results show that at a time of more and stronger open data policies, paying for data publication remains far from straightforward, with much of the burden passed along to individual researchers.

Concerns about funding for open data can have real impacts on research availability and publication choice. More than 15% of our participants indicated that they have collected data in the last few years that they have been unable to archive due to lack of funds. Meanwhile, over 40% say that when choosing which journal(s) to submit to, sponsorship of the Dryad DPC does, or at least may, influence their decision.

The good news it that during our 8-month pilot implementation period, the US National Science foundation sponsored nearly 200 Data Publishing Charges for which researchers would otherwise have been responsible.

We at Dryad are committed to finding and implementing solutions, and very much appreciate the feedback and support we receive from the research and publishing community. Stay tuned for more lessons learned.

Point of view: How open science helps researchers succeed (elife sciences)

Abstract

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how sharing their work will affect their careers. We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.

DOI: http://dx.doi.org/10.7554/eLife.16800

Published July 7, 2016

Cite as eLife 2016;5:e16800

Promoting research data sharing at Springer Nature

http://blogs.biomedcentral.com/bmcblog/2016/07/05/promoting-research-data-sharing-springer-nature/

Sharing biodiversity data: Best tools and practices via project EU BON

"Due to the exponential growth of biodiversity information in recent years, the questions of how to mobilize such vast amounts of data has become more tangible than ever. Best practices for data sharing, data publishing, and involvement of scientific and citizen communities in data generation are the main topic of a recent report by the EU FP7 project Building the European Biodiversity Observation Network (EU BON), published in the innovative Research Ideas & Outcomes (RIO) journal."

http://phys.org/news/2016-05-biodiversity-tools-eu-bon.html 

Data publication consensus and controversies

From JISC's DATA PUBLICATION email list, this article, complete with available referees comments:
Kratz J and Strasser C (2014) Data publication consensus and controversies [v1; ref status: approved with reservations 1, http://f1000r.es/3ag] F1000Research 2014, 3:94 (doi: 10.12688/f1000research.4264)
http://f1000research.com/articles/3-94/v1#article-reports

This provides excellent coverage of the current state of data publication; and yay! data citation is fairly advanced, with consensus

PLOS article: Researcher perspectives on publication and peer review of data.

PLoS One. 2015 Feb 23;10(2):e0117619. doi: 10.1371/journal.pone.0117619. eCollection 2015.

Researcher perspectives on publication and peer review of data.

Kratz JE1, Strasser C1.

 

Abstract

Data "publication" seeks to appropriate the prestige of authorship in the peer-reviewed literature to reward researchers who create useful and well-documented datasets. The scholarly communication community has embraced data publication as an incentive to document and share data. But, numerous new and ongoing experiments in implementation have not yet resolved what a data publication should be, when data should be peer-reviewed, or how data peer review should work. While researchers have been surveyed extensively regarding data management and sharing, their perceptions and expectations of data publication are largely unknown. To bring this important yet neglected perspective into the conversation, we surveyed ∼ 250 researchers across the sciences and social sciences- asking what expectations "data publication" raises and what features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication. We found that researcher expectations of data publication center on availability, generally through an open database or repository. Few respondents expected published data to be peer-reviewed, but peer-reviewed data enjoyed much greater trust and prestige. The importance of adequate metadata was acknowledged, in that almost all respondents expected data peer review to include evaluation of the data's documentation. Formal citation in the reference list was affirmed by most respondents as the proper way to credit dataset creators. Citation count was viewed as the most useful measure of impact, but download count was seen as nearly as valuable. These results offer practical guidance for data publishers seeking to meet researcher expectations and enhance the value of published data.

 

More at: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0117619#abstract0

W3: Data on the Web Best Practices - First Draft Published

The Data on the Web Best Practices Working Group has published a First Public Working Draft of Data on the Web Best Practices, to encourage and enable the continued expansion of the Web as a medium for the exchange of data. Data should be discoverable and understandable by humans and machines. Where data is used in some way, whether by the originator of the data or by an external party, such usage should also be discoverable and the efforts of the data publisher recognized. In short, following these best practices will facilitate interaction between publishers and consumers.

More at: http://www.w3.org/blog/news/archives/4428

Science magazine & Data in 2015

Data, eternal

1. 1. http://www.sciencemag.org/content/347/6217/7.full?utm_source=eloqua
2. Marcia McNutt

1. Marcia McNutt Editor-in-Chief Science Journals

IMAGE: STACEY PENTLAND PHOTOGRAPHY

During 2014, Science worked with members of the research community, other publishers, and representatives of funding agencies on many initiatives to increase transparency and promote reproducibility in the published research literature. Those efforts will continue in 2015. Connected to that progress, and an essential element to its success, an additional focus will be on making data more open, easier to access, more discoverable, and more thoroughly documented. My own commitment to these goals is deeply held, for I learned early in my career that interpretations come and go, but data are forever.

“…interpretations come and go, but data are forever.”

IMAGE: EVIRGEN/ISTOCKPHOTO.COM

During my qualifying exam to advance to Ph.D. candidacy, I drew a chalkboard cartoon of a then-new concept: that the weight of recently erupted oceanic volcanoes could elastically deform the surrounding seafloor, creating a deep depression and surrounding flexural arch. Afterward, H. W. Menard, the great marine geologist and a member of my exam committee, spread out a map of the Pacific. He pointed out places where there were older coral atolls (which marked former stands of sea level) that were either now uplifted or drowned in the vicinity of younger volcanoes. Using the distance from the young volcano to the atoll and the amount of uplift or depression, we were able to calibrate the long-term flexural strength of the Pacific seafloor under the weight of the volcanic loading. It was of no matter that Menard had published a paper years earlier using a subset of the uplifted atolls to argue for another hypothesis, which he now happily discarded in favor of the flexural warping one. It occurred to me that there was no database of “drowned and uplifted atolls” that one could access. Menard's prior publication provided only a biased sampling of all occurrences. Had he not been on my exam committee, that unique set of observations to constrain the flexural rigidity might never have presented itself.

Data, particularly those collected with public funding, should be used so that they do the most good. When the greatest number of creative and insightful minds can find, access, and understand the essential features that led to the collection of a data set, the data reach their highest potential. Although the situation has improved some four decades after my student days in terms of the number of public data repositories, requirements for making data available, and metadata standards, there is still a long way to go. So what can Science do to help in this regard, given that it covers many disciplines but is not deeply embedded in any one field?

There are many publicly and privately funded data repositories worldwide, not all of which are being used to their full potential. In 2015, we want to work with authors and readers to identify which of those repositories Scienceshould promote because they are well managed, have long-term support, and are responsive to community needs. For data that do not neatly fit into large-scale repositories, we will explore other available options. We also will evaluate different ways to tag data sets and integrate such tagging into our peer-review process. For example, one might associate a digital identifier for a data set with a figure in a paper. A reviewer could use such an identifier to find the particular data that are related to the figure. The hope is to work with repositories that allow bidirectional tagging so that it is easy for someone—a reviewer or reader—to identify the data used in a Science paper.

Along with improving the “discoverability” of data sets, Science hopes to inspire creative ways to visualize data sets to improve the communication of information and concepts and even facilitate the discoverability of new phenomena. What happens when you bring together those who collect large data sets with those who develop the tools to analyze and view them? Stay tuned!

http://www.sciencemag.org/content/347/6217/7.full?utm_source=eloqua

Data citation article in special OA issue of Learned Publishing

Data Citers

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Data citation article in special OA issue of Learned Publishing Posted: 14 Oct 2014 08:02 PM PDT Callaghan S. Preserving the Integrity of the Scientific Record: Data Citation and Linking. Learned Publishing. 2014;27(5):15-24. http://www.ingentaconnect.com/content/alpsp/lp/2014/00000027/00000005/art00004http://dx.doi.org/10.1087/20140504 The topic of this special issue of Learned Publishing is data publishing, and all content of the issue is open access; included are an article on the Research Data Alliance by Andrew Treloar, one on altmetrics, and one on libraries and librarians in data management (there are others, as well). Table of Contents: http://www.ingentaconnect.com/content/alpsp/lp/2014/00000027/00000005

Second Workshop on Linking and Contextualizing Publications and Datasets

Second Workshop on Linking and Contextualizing Publications and Datasets - slides now available
http://lcpd2014.research-infrastructures.eu/index.php?d=sessions

Invited talks session

Linking to and Citing Data in Non-Trivial Settings (pdf)

Andreas Rauber

Linking research data and publications: a survey of the landscape in the social sciences (ppsx)

Stefan Kramer

Data papers and their applications: Data Descriptors in Scientific Data (pdf)

Iain Hrynaszkiewicz

Full papers session: Contextualizing and Linking

Semantic Enrichment and Search with Linked Data: A Case Study on Environmental Science Literature (pdf)

Kalina Bontcheva, Johanna Kieniewicz, Stephen Andrews,THa;ts and Michael Wallis

A-posteriori provenance-enabled linking of publications and datasets via crowdsourcing (pdf)

Laura Dragan, Markus Luczak-Roesch, Bettina Berendt, Elena Simperl, Heather Packer and Luc Moreau

Full papers session: New forms of publishing

A framework supporting the shift from traditional digital publications to enhanced publications (pdf)

Alessia Bardi, Paolo Manghi

Research Infrastructure Scientific Communication Systems (pdf)

Massimiliano Assante, Leonardo Candela, Donatella Castelli, Paolo Manghi and Pasquale Pagano

Full papers session: Dataset citation

Data citation practices in the CRAWDAD wireless network data archive (pdf)

Tristan Henderson and David Kotz

A Methodology for Citing Linked Open Data Subsets (pdf)

Gianmaria Silvello

Challenges in Matching Dataset Citation Strings to Datasets in Social Science (pdf)

Brigitte Mathiak, Katarina Boland

Full-papers session: Dataset peer-review

Enabling Living Systematic Reviews and Clinical Guidelines Through Semantic Technologies (External Link)

Laura Slaughter, Christopher Friis Berntsen, Linn Brandt and Chris Mavergames

Data Without Peer: Examples of Data Peer Review in the Earth Sciences

Sarah Callaghan (pdf)

RDA–WDS Data Publishing Webinar for Data Repositories and Services are now available

The recording and slides of last week's RDA–WDS Data Publishing Webinar for Data Repositories and Services are now available here: https://www.icsu-wds.org/community/webinars/webinar-3

ICSU World Data System originally shared:

 

Press Release: DataCite and the ICSU World Data System (ICSU-WDS) announce an agreement to strengthen their collaboration and enhance the availability of high-quality scientific data to researchers worldwide.
http://goo.gl/K8LcUI

Learned Publishing special issue on data and publishing

special issue on data and publishing (Open Access) published on Friday: http://www.ingentaconnect.com/content/alpsp/lp/latest and containing pieces by Sarah Callaghan, the F1000Research team, Andrew Treloar, Susan Reilly and others

Full disclosure

This ALMOST goes far enough!
If only there was a citation for the data as well - though there is a DOI.

"Data Publishing while Preserving Data Privacy" - Harvard presentation

Data Publishing while Preserving Data Privacy - set of slides describing Harvard's repository, but also good workflows integrating data publication with citation and reuse.

http://datascience.iq.harvard.edu/files/datascience/files/iassist-crosas.pdf

Privacy Tools for Sharing Research Data project at Harvard University

"Integrating Approaches to Privacy Across the Research Lifecycle: Long-Term Longitudinal Studies" -  Privacy Tools for Sharing Research Data project at Harvard University held a workshop titled "Integrating Approaches to Privacy across the Research Data Lifecycle." Over forty leading experts in computer science, statistics, law, policy, and social science research convened to discuss the state of the art in data privacy research. The resulting conversations centered on the emerging tools and approaches from the participants’ various disciplines and how they should be integrated in the context of real-world use cases that involve the management of confidential research data.

Research report: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2469848##

The UK Medical Heritage Library: uniting digitised collections

The Wellcome Library and Jisc are delighted to announce our nine UK research library partners to the UK Medical Heritage Library project. These libraries will be making their historic collections available for digitisation alongside the Wellcome Library’s own 19th century works. They make up the bulk of the 15 million page goal made possible by funding from the Higher Education and Funding Council for England and Jisc.

The nine partners include:

6 university libraries:

       UCL (University College London)
       University of Leeds
       University of Glasgow
       London School of Hygiene & Tropical Medicine
       King’s College London
       University of Bristol

3 Royal College libraries:
       Royal College of Physicians of London
       Royal College of Physicians of Edinburgh
       Royal College of Surgeons of England

Relevant works will be selected by the partner libraries from their historic book and pamphlet collections, representing a broad selection of works from across medicine, health, and related subjects. The Internet Archive will carry out all the digitisation work in a brand new scanning centre here at the Wellcome Library that will accommodate well over 2,000 items per month at peak times.

From October, these will start to become available online as part of the Medical Heritage Library  collection on the Internet Archive website and via the Wellcome Library catalogue.

More details on the project and the library partners can be found here:
http://www.wellcome.ac.uk/News/Media-office/Press-releases/2014/WTP056966.htm