Diagram "Drivers for data sharing"
from JORD (JISC) program: https://jordproject.files.wordpress.com/2013/06/drivers-for-data-sharing.pptx

Research Data Management in Economic Journals - good summary paper on data policies in economic journals.
http://openeconomics.net/resources/data-policies-of-economic-journals/

The Open Preservation Foundation (OPF) and the PDF Association (PDFA) have signed an agreement to formally recognise their on-going collaborative partnership.

The Open Preservation Foundation (OPF) and the PDF Association (PDFA) have signed an agreement to formally recognise their on-going collaborative partnership.

Signed by Olaf Drümmer, Chairman of the PDFA and Ed Fay, Executive Director of the OPF, the agreement aims to enhance the effectiveness of their respective activities by sharing access to one another’s interest groups, working groups and planning documentation.

‘We have worked closely with the PDF Association over the past year,’ explains Ed Fay. ‘Olaf Drümmer was the keynote speaker at our event last year ‘Preserving PDF: identify, validate, repair’, and we’re collaborating with them again on a project right now,’ he said.

‘The PDFA and OPF have complementary areas of expertise in a variety of areas, and have already developed a successful working relationship’ commented Duff Johnson, PDF Association Executive Director. The Agreement reflects our commitment to continue our collaboration,’ said Johnson.

About the PDFA
Founded in 2006 as the PDF/A Competence Center, the PDF Association exists to promote the adoption and implementation of International Standards for PDF technology. Website: http://www.pdfa.org/

About OPF
The Open Preservation Foundation sustains technology and knowledge for the long-term management of digital cultural heritage, in all its forms. We provide our members with reliable solutions to the challenges of digital preservation through technology stewardship, knowledge exchange, and advocacy and alliances.

Over 20 institutions (including UniSA) now using Altmetric to help track and report research impact

Altmetric announce today that over 20 world-leading research institutions (including Cambridge University, University of Manchester and University of South Australia) have now adopted the Altmetric for Institutions analytics platform to monitor and report on the engagement and attention surrounding their research outputs.

Sue Mikilewicz, Director of Business Intelligence and Planning at the University of South Australia, adds,

“A key benefit of the Altmetric platform is that it allows us to monitor the impact of our research – this includes non-traditional outputs such as policy papers, reports and creative works. We can also use Altmetric to monitor the effectiveness of our open access policy and our institutional repository – making it a very useful cross-departmental tool that will help to inform university-wide strategies and investment”.

Read more at: http://www.digital-science.com/blog/news/over-20-institutions-now-using-altmetric-to-help-track-and-report-research-impact/

Sydney Water, could cut pipe maintenance costs for water mains by a fifth - using data & modelling techniques

Great story half way down this page about the use of data by Sydney Water to reduce it's costs.

http://www.startupsmart.com.au/government-and-regulation/nictas-government-innovation-drive-funded-or-not.html

Providing public value

NICTA was set up to encourage collaboration between world-class ICT researchers — both home-grown and imported — and Australian industry. There’s much still to do in that regard. But its focus on large-scale national challenges has also led it to deliver public value in transport planning, health, emergency services, agriculture and more.

“They’re areas where we have huge public expenditure,” said Robertson. “Transport alone I think is about 14% of GDP, and if we can make that 10% more efficient, which we can, and we’ve demonstrated that in areas where we’ve engaged with transport companies, then that’s a huge impact, because that 10% can be applied elsewhere for greater benefit.”

He says the Intelligent Pipes project, in partnership with Sydney Water, could cut pipe maintenance costs for water mains by a fifth using sophisticated modelling techniques.

“The way we did that was we looked at all the data they had for their pipes — they had quite a lot — and looked at which pipes had historically failed and the data for that, and then used machine learning and data analytics to predict which pipes are going to fail next. And it turns out in broad terms, we can predict of the failures ahead of time much more often than they could using conventional techniques.”

The savings to Sydney Water alone are several times the cost of running the project; with the water mains costing well over $1 billion to maintain Australia wide, the gains from widespread deployment would be in the hundreds of millions.

Nature Publishing Group moves to CC BY 4.0 as default for open access journals

All 18 open access journals owned by Nature Publishing Group (NPG), and two society titles published by NPG, will use the Creative Commons Attribution license CC BY 4.0 as default from today. All future open access journals will also use CC BY 4.0 as default.
More at: http://www.nature.com/press_releases/cc-by-4-0.html

The culture of scientific research - Report

Throughout 2014, the Council undertook a series of engagement activities that aimed to inform and advance debate about the ethical consequences of the culture of scientific research.

The project aimed to explore the effects of a wide range of influences on scientific research, including funding mechanisms, publishing models, career structures and governance processes. This report summarises the findings of the project activities, which included a survey of almost 1000 scientists and others, and a series of discussion events at universities around the UK. A detailed analysis of the survey responses, a summary of the discussion events, and a background paper about the culture of scientific research in the UK are also available to download on this page.

http://nuffieldbioethics.org/project/research-culture/

What’s the point of open academic data? Redefining valuable research based on re-use and reproducibility.

The benefits of open research to both those who fund it and to wider society mean that academia is on a course which cannot be altered, or returned to a previous state. Mark Hahnel discusses the momentum behind making all research outputs openly available online and what changes may be in store for universities in this transition. Funder mandates could shift how researchers receive credit for their work and librarians might also continue to help research staff better manage and disseminate content
READ THE WHOLE POST

http://blogs.lse.ac.uk/impactofsocialsciences/2015/01/16/whats-the-point-of-open-academic-data/

J of eScience Librarianship - issue on data

Dear Colleagues,

The latest issue of the Journal of eScience Librarianship (JESLIB) has just been published! It is available at http://escholarship.umassmed.edu/jeslib/vol3/iss1/.

Table of Contents
Volume 3, Issue 1 (2014)

Editorial

What is Data Literacy?
Elaine R. Martin
http://dx.doi.org/10.7191/jeslib.2014.1069

Full-Length Papers

Planning Data Management Education Initiatives: Process, Feedback, and Future Directions Christopher Eaker
http://dx.doi.org/10.7191/jeslib.2014.1054

A Spider, an Octopus, or an Animal Just Coming into Existence? Designing a Curriculum for Librarians to Support Research Data Management Andrew M. Cox, Eddy Verbaan, and Barbara Sen
http://dx.doi.org/10.7191/jeslib.2014.1055

An Analysis of Data Management Plans in University of Illinois National Science Foundation Grant Proposals William H. Mischo, Mary C. Schlembach, and Megan N. O'Donnell
http://dx.doi.org/10.7191/jeslib.2014.1060

Initiating Data Management Instruction to Graduate Students at the University of Houston Using the New England Collaborative Data Management Curriculum Christie Peters and Porcia Vaughn
http://dx.doi.org/10.7191/jeslib.2014.1064

EScience in Action

Research Data MANTRA: A Labour of Love
Robin Rice
http://dx.doi.org/10.7191/jeslib.2014.1056

Building Data Services From the Ground Up: Strategies and Resources Heather L. Coates
http://dx.doi.org/10.7191/jeslib.2014.1063

Building the New England Collaborative Data Management Curriculum Donna Kafel, Andrew T. Creamer, and Elaine R. Martin
http://dx.doi.org/10.7191/jeslib.2014.1066

Lessons Learned From a Research Data Management Pilot Course at an Academic Library Jennifer Muilenburg, Mahria Lebow, and Joanne Rich
http://dx.doi.org/10.7191/jeslib.2014.1058

Gaining Traction in Research Data Management Support: A Case Study Donna L. O'Malley
http://dx.doi.org/10.7191/jeslib.2014.1059

The New England Collaborative Data Management Curriculum Pilot at the University of Manitoba: A Canadian Experience Mayu Ishida
http://dx.doi.org/10.7191/jeslib.2014.1061


Are you interested in submitting to JESLIB? Please refer to author guidelines at http://escholarship.umassmed.edu/jeslib/styleguide.html


Regards,
Elaine R. Martin, Editor, and the Editorial Team, Journal of eScience Librarianship

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Sowing the seed: Incentives and Motivations for Sharing Research Data, a researcher's perspective

Sowing the seed: Incentives and Motivations for Sharing Research Data, a researcher's perspective

This qualitative study, commissioned by Knowledge Exchange, has gathered evidence, examples and opinions on current and future incentives for research data sharing from the researchers’ point of view, in order to provide recommendations for policy and practice development on incentivising data access and re-use.

Research with five research teams, with an established data sharing culture, spanning various academic disciplines, in five European countries, indicates that important motivations for researchers to share their data include: when science directly drives the need for data sharing; when data sharing increases the visibility of the researcher; the cultural norms with regards to data sharing that exist within a research group, community or discipline; and a framework of policies, infrastructure and data services as external drivers.

Incentives and motivations ask for development of a data infrastructure with rich context where research data, papers and other outputs or resources are jointly available within a single data resource, as well as data sharing training to become part of standard research methods training. Different types of data sharing and research disciplines need to be acknowledged. This study helps stakeholders to understand and act upon the recommendations.

This project was managed at the UK Data Archive by the principal investigators Veerle Van den Eynden and Libby Bishop. All data are available via the UK Data Service.

Resources

Project report: Sowing the seed: Incentives and Motivations for Sharing Research Data, a researcher's perspective (PDF)

Project web page: Investigating current incentives for data sharing amongst researchers

Knowledge Exchange website

___________________________________

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