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Susannah Sabine
Worked at Australian National Data Service
Lives in Canberra
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Susannah Sabine

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Summary: Salesforce.com hopes to encourage app developers to begin creating enterprise applications for wearable technologies with the launch of its developer pack that consists of free downloadable codes for six end-to-end applications.
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Famous paintings help study the Earth’s past atmosphere
The Lake, Petworth: Sunset, Fighting Bucks, by J. M. W. Turner
A team of Greek and German researchers has shown that the colours of sunsets painted by famous artists can be used to estimate pollution levels in the Earth’s past atmosphere. In particular, the paintings reveal that ash and gas released during major volcanic eruptions scatter the different colours of sunlight, making sunsets appear more red. The results are published today in Atmospheric Chemistry and Physics, an open access journal of the European Geosciences Union (EGU).

FROM: http://www.egu.eu/news/106/famous-paintings-help-study-the-earths-past-atmosphere/

#painting   #famous   #geosciences   #sky   #atmosphere  
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Journal Article: Nine simple ways to make it easier to (re)use your data
Nine simple ways to make it easier to (re)use your data

Ethan P. White, Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, and Sarah R. Supp

https://peerj.com/preprints/7v1.pdf

Abstract
17 Sharing data is increasingly considered to be an important part of the scientific process. Making your
18 data publicly available allows original results to be reproduced and new analyses to be conducted.
19 While sharing your data is the first step in allowing reuse, it is also important that the data be easy
20 understand and use. We describe nine simple ways to make it easy to reuse the data that you share
21 and also make it easier to work with it yourself. Our recommendations focus on making your data
22 understandable, easy to analyze, and readily available to the wider community of scientists.

#article   #journal   #reuse  
#re-use #sharing  
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Assisted Colonisation of the Western Swamp Tortoise
Our aim is to develop innovative methods that will help identify habitats where critically endangered species will be able to survive in the wild under a changing climate.


Our project, funded by the Australian Research Council, is focusing on the world's rarest freshwater tortoise, Western Swamp Tortoise (Pseudemydura umbrina), who's natural wetland habitat is drying due to climate change.
Assisted colonisation

Assisted colonisation, (or assisted migration or managed relocation), is the process of relocating species or populations that would otherwise decline due to a threatening process in their original habitat.
Assisted migration is being considered by the scientific community as a potential mechanism for species adapting to climate change. Significantly, the expectation is that in many cases species would be relocated to areas that are outside their historical range.
The need for assisted colonisation
Many species will not have the capacity to change their distribution if their habitat becomes unsuitable, either because they are naturally poor dispersers, or because habitat corridors have been lost due to modification of landscapes by humans.
Assisted colonisation offers the possibility that threatened species could survive in the wild in the long term. However, this strategy is controversial because species introduced to new environments have often become invasive.

http://www.animals.uwa.edu.au/research/wildlife/assisted-colonisation
#
ARC
#climate_change   #climatechange   #habitat   #tortoise   #turtle   #UWA  
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Peer Review of Datasets: When, Why, and How
Bulletin of the American Meteorological Society 2014 ; e-View
doi: http://dx.doi.org/10.1175/BAMS-D-13-00083.1
http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-13-00083.1


Peer Review of Datasets: When, Why, and How

Peer review holds a central place within the scientific communication system. Traditionally, research quality has been assessed by peer review of journal articles, conference proceedings, and books. There is strong support for the peer review process within the academic community, with scholars contributing peer reviews with little formal reward. Reviewing is seen as a contribution to the community as well as an opportunity to polish and refine understanding of the cutting edge of research. This paper discusses the applicability of the peer review process for assessing and ensuring the quality of datasets. Establishing the quality of datasets is a multifaceted task that encompasses many automated and manual processes. Adding research data into the publication and peer review queues will increase the stress on the scientific publishing system, but if done with forethought will also increase the trustworthiness and value of individual datasets, strengthen the findings based on cited datasets, and increase the transparency and traceability of data and publications.
This paper discusses issues related to data peer review, in particular the peer review processes, needs, and challenges related to the following scenarios: 1) Data analyzed in traditional scientific articles, 2) Data articles published in traditional scientific journals, 3) Data submitted to open access data repositories, and 4) Datasets published via articles in data journals.
Capsule Summary
Devising methods for data peer review, if done with forethought, can increase the trustworthiness and value of individual datasets and strengthen research findings.
#article   #data   #dataset   #journal   #meteorological_society   #peer_review  
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Susannah Sabine

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Few tech bigwigs get excited about disrupting nitty-gritty municipal markets like street lighting. Even fewer have ever set foot on an actual farm, much less thought of technology designed for one. But the boring world of basic needs and utilities hides huge opportunity for tech's favourite revenue source: data. At first glance, it's easy to think that Sensity Systems simply...
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Open data policies
Articles and resources on open data policies
Funders with open data policies
Institutions / projects with open data policies
Journals with open data policies

http://oad.simmons.edu/oadwiki/Open_data_policies
#data   #opendata   #open_data   #policy  
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Global-level data sets may be more highly cited than most journal articles.
Posted: 15 May 2014 03:00 AM PDT
Scientists can be reluctant to share data because of the need to publish journal articles and receive recognition. But what if the data sets were actually a better way of getting credit for your work? Chris Belter measured the impact of a few openly accessible data sets and compared to journal articles in his field. His results provide hard evidence that the […]
http://blogs.lse.ac.uk/impactofsocialsciences/2014/05/15/global-level-data-sets-highly-cited
#data   #citation   #researchdata   #datacitation  
Scientists can be reluctant to share data because of the need to publish journal articles and receive recognition. But what if the data sets were actually a better way of getting credit for your wo...
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 Sustainability of Digital Formats Planning for Library of Congress Collections

The Digital Formats Web site provides information about digital content formats. The analyses and resources presented here will increase and be updated over time. The compilers, Caroline R. Arms, Carl Fleischhauer, and Kate Murray.
http://www.digitalpreservation.gov/formats/index.shtml
#digitalcontent   #digitalformats   #libraryofcongress   #library_of_congress   #sustainability  
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Joint Declaration of Data Citation Principles - FINAL

(from :https://www.force11.org/datacitation)
Principles created by the Data Citation Synthesis Group 
Preamble
Sound, reproducible scholarship rests upon a foundation of robust, accessible data.  For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and in the enduring scholarly record.  In other words, data should be considered legitimate, citable products of research.  Data citation, like the citation of other evidence and sources, is good research practice and is part of the scholarly ecosystem supporting data reuse.
In support of this assertion, and to encourage good practice, we offer a set of guiding principles for data within scholarly literature, another dataset, or any other research object.  
These principles are the synthesis of work by a number of groups.  As we move into the next phase, we welcome your participation and endorsement of these principles.
 
Principles
The Data Citation Principles cover purpose, function and attributes of citations.  These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable.  
These citation principles are not comprehensive recommendations for data stewardship.  And, as practices vary across communities and technologies will evolve over time, we do not include recommendations for specific implementations, but encourage communities to develop practices and tools that embody these principles.
The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.
Importance
Data should be considered legitimate, citable products of research. Data citations should be accorded the same importance in the scholarly record as citations of other research objects, such as publications[1].
Credit and Attribution
Data citations should facilitate giving scholarly credit and normative and legal attribution to all contributors to the data, recognizing that a single style or mechanism of attribution may not be applicable to all data[2].
Evidence
In scholarly literature, whenever and wherever a claim relies upon data, the corresponding data should be cited[3].
Unique Identification
A data citation should include a persistent method for identification that is machine actionable, globally unique, and widely used by a community[4].
Access
Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data[5].
Persistence
Unique identifiers, and metadata describing the data, and its disposition, should persist --  even beyond the lifespan of the data they describe[6].
Specificity and Verifiability 
Data citations should facilitate identification of, access to, and verfication of the specific data that support a claim.  Citations or citation metadata should include information about provenance and fixity sufficient to facilitate verfiying that the specific timeslice, version and/or granular portion of data retrieved subsequently is the same as was originally cited[7].
Interoperability and flexibility
Data citation methods should be sufficiently flexible to accommodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities[8].
#data   #datacitation   #data_citation   #Force11   #principles   #reuse   #datareuse  
#sharing   #datasharing  
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Susannah Sabine

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Did you know that there are lots of moons in our Solar System, and the Earth is the only planet with just a single moon? From dead, heavily cratered lumps to others with erupting volcanoes or rivers and lakes of liquid methane or underground oceans of salty water where microbial life could exist, they are among the wonders of our Solar System.

Our new free online course, Moons, explores the rich diversity using images, video, text and interactive elements (including an online game of Moon Trumps) under the guidance of experts. Register now for Moons on FutureLearn (http://bit.ly/1mJdD4y), starting on Monday 17 March 2014.
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Work
Occupation
Research Analyst
Employment
  • Australian National Data Service
    Research Analyst
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Female
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Currently
Canberra
Previously
Adelaide, - Oaklahoma City - Stockholm, - Oxford, - Boston, - San Francisco - Melbourne - Bangkok - Canberra
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