CAFF's webinar series is intended to explore CAFF's projects, products and activities, and provide our colleagues and partners opportunity to communicate their results directly to target audiences. The format includes presentations followed by a question and answer period. The recordings of these webinars are available on our YouTube channel and featured on our website and social media channels (Facebook and Twitter) to reach wider audiences

https://www.youtube.com/watch?v=j3ii7ai9kxE

Invitationfrom GEO to participate in the Data Validation of Global Land Cover (GLC) Datasets activity. 

Contact Dr Lijun Chen () by 15 February 2016

One of the project themes of EU-PolarNet is ‘Infrastructures, Facilities, and Data’, and one of the tasks will focus on

  • Establishing an overview of existing polar data management structures
  • An analysis of
    - the legal and regulatory rules that currently frame access to data
    - the technical solutions presently in place that facilitate access to data
    - discoverability and accessibility of data
  • Producing recommendations on a coordinated European polar data infrastructure, compatible with trans-Atlantic and worldwide cooperation requirements

AMAP and SAON is involved in EU-PolarNet and in this task, and one of the activities is a survey of existing polar data systems: http://www.eu-polarnet.eu/index.php?id=1073741888

 

The Coastal Expert Monitoring Group of the Circumpolar Biodiversity Monitoring Program invites you to complete a questionnaire to inform their upcoming workshop as they prepare to develop a biodiversity monitoring program for coastal ecosystems across the circumpolar Arctic to be detailed in an Arctic Coastal Biodiversity Monitoring Plan. Results of the questionnaire will be summarised and presented at the Coastal Expert Monitoring Group's meeting in Ottawa, Canada in March.

This questionnaire is for those with knowledge of Arctic coastal environments including coastal scientists and traditional knowledge experts, and for those who would benefit from a comprehensive and useful Arctic Coastal Biodiversity Monitoring Program, including members of coastal communities, the Arctic mining, shipping and tourism industries, Northern municipal, territorial and federal governments, Northern regulatory agencies, and co-management boards.

Please participate in the questionnaire here: https://form.jotform.com/60272016921952 and by February 16.

The Circumpolar Biodiversity Monitoring Program (CBMP) is an international network of scientists, governments, Indigenous organizations and conservation groups working to harmonize and integrate efforts to monitor the Arctic's living resources under the Conservation of Arctic Council Arctic Flora and Fauna (CAFF), the biodiversity working group of the Arctic Council. The Coastal Expert Monitoring Group's goal is to promote, facilitate, coordinate and harmonize coastal biodiversity monitoring activities among circumpolar countries and Permanent Participants, and to improve ongoing communication amongst and between scientists, community experts, traditional knowledge holders, managers and disciplines both inside and outside the Arctic.

Call for Papers – Data Science Journal

The Data Science Journalis a peer-reviewed, open access, electronic journal dedicated to the advancement of data science and its application in policies, practices and management of Open Data.

We are currently soliciting submissions for papers on a wide range of data science topics, across the whole range of computational, natural and social science, and the humanities. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for data.

All data is in scope, whether born digital or converted from other sources, and all research disciplines are covered. Data is a cross-domain, cross-discipline topic, with common issues, regardless of the domain it serves. TheData Science Journalpublishes a variety of article types (research papers, practice papers, review articles and essays). TheData Science Journalalso publishes data articles, describing datasets or data compilations, if the potential for reuse of the data is significant or if considerable efforts were required in compilation. Similarly, theData Science Journalalso publishes descriptions of online simulation, database, and other experiments, partnering with digital repositories on ‘meta articles’ or ‘overlay articles’, which link to and allow visualisation of the data, thereby adding an entirely new dimension to the communication and exchange of data research results and educational materials.

For further information, and to submit a manuscript, please visithttp://datascience.codata.org/

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