NPG s'apprête à lancer Scientific Data pour aider les scientifiques à publier et... -- LONDON, April 4, 2013 /PRNewswire. LONDON, April 4, 2013 /PRNewswire/ -- Nature Publishing Group (NPG) a aujourd'hui le plaisir d'annoncer le lancement de Scientific Data au printemps 2014. Ouverte aux propositions à compter de cet automne, Scientific Data est une nouvelle plateforme exclusivement en ligne et en libre accès pour la publication de descriptions d'ensembles de données à valeur scientifique. Scientific Data se concentrera initialement sur des ensembles de données expérimentaux des communautés des sciences de la vie, biomédicales et environnementales, avec pour objectif futur de s'étendre à d'autres domaines des sciences naturelles. Scientific Data présentera et publiera un nouveau type de contenu du nom de Data Descriptors : des publications scientifiques à comité de lecture fournissant des descriptions détaillées des ensembles de données expérimentaux et observationnels.
Scientific Data reconnaît les contributeurs via une publication citable, pour le dépôt et le partage de données de recherche. Liens : Publishing frontiers: The library reboot. Sayeed Choudhury demonstrates the visualization wall, part of Johns Hopkins University's drive to transform how its libraries and researchers deal with data.
A few passing students do a double take as Sayeed Choudhury waves his outstretched right arm. In his crisply pressed dress shirt and trousers, the engineer looks as if he is practising dance moves in slow motion. But he is really playing with astronomical data. Standing in a US$32-million library building opened last year at Johns Hopkins University in Baltimore, Maryland, Choudhury faces a 2-metre-by-4-metre 'visualization wall' of television screens. This wall is the brainchild of computer scientist Greg Hager and Choudhury, who directs digital research and curation at the library. “As we create more and more digital content, there's a question of how do you get people to even realize we have it and then interact with it in new ways,” says Choudhury, who thinks that the wall is starting to catch on.
The new data wranglers. Research Information | CERIF | LOD | CRIS | Repositories | IR. EuroCRIS organisation (Structure) euroCRIS exists because information is required for a broad variety of stakeholders: researchers, research managers and administrators, research councils, entrepreneurs and technology transfer organisations, and for the media an the public. Following a period of activities and meetings in an informal setting, which started in 1991, euroCRIS became a professional not-for-profit association of CRIS experts with legal status in 2002. This was a logical development since the European Commission handed over the custodianship of CERIF (Common European Research Information Format) to euroCRIS and euroCRIS wished to become an authoritative interlocutor for national and European authorities and a serious partner in research projects and networks in this field. The mission of euroCRIS is derived from this ambition.
iCordi. COMMUNIQUES DE PRESSE - Communiqué de presse - Speech: Opening up Scientific Data. European Commission Neelie Kroes Vice-President of the European Commission responsible for the Digital Agenda Opening up Scientific Data Launch of the Research Data Alliance/Stockholm 18 March 2013 I am very happy to be with you today, here in the EU, to launch the global Research Data Alliance. Scientists have always sought new ways to share. Scientists developed the internet, for example. It's no wonder that scientists are in the lead on those new tools.
Because those tools can take us into a new era: the era of open science. Whether it's scientific results, the data they are based on, the software used for analysis, or the education resources that help us teach and learn, being more open can help, transforming every discipline from astronomy to zoology, and making our lives better. There's three points I want to make today. First, the EU is supporting open science. The EU has long invested in research and innovation. That's why I'm delighted at how you're building this Alliance. Rd-alliance. What does peer review of data mean? Invalid quantity. Please enter a quantity of 1 or more. The quantity you chose exceeds the quantity available. Please enter your name. Please enter an email address. Please enter a valid email address. Please enter your message or comments. Please enter the code as shown on the image. Please select the date you would like to attend. Please enter a valid email address in the To: field.
Please enter a subject for your message. Please enter a message. You can only send this invitations to 10 email addresses at a time. $$$$ is not a properly formatted colour. Please limit your message to $$$$ characters. $$$$ is not a valid email address. Please enter a promotional code. Sold Out Pending You have exceeded the time limit and your reservation has been released.
The purpose of this time limit is to ensure that registration is available to as many people as possible. This option is not available anymore. Please read and accept the waiver. All fields marked with * are required. US Zipcodes need to be 5 digits. Roadmaps to EPSRC expectations on research data. DraftResearchDataManagementPolicyPrinciplesandCodeofGoodPractice. It's all in the Context...... 14 February 2013 The concept of linking scientific literature to data in multi-disciplinary research infrastructures is now going to be implemented practically. OpenAIREplus is developing a common approach to connect descriptions of research results and research information between many rich data sources (publications, data, project information) in a discipline-independent fashion. In short, to develop a service which allows users to interact with and support linking between research articles and data in the context of project funding.
To gain a fuller understanding of how this has to be done, OpenAIREplus has carried out a series of pilots to examine how to create these 'enriched' information packages, working closely with two scientific partners, mutually diverse in their discipline: Dutch Archiving and Network Services (DANS) and the European Bioinformatics Institute (EBI-EMBL). Working with different research communities How does this fit into a generic infrastructure? Figure 1. Connecting data repositories and publishers for data publication – Sarah Callaghan (2nd OpenAIRE Workshop) Manage Your Data: Data Management: Subject Guides: MIT Libraries.
The MIT Libraries supports the MIT community in the management and curation of research data by providing the following services: Data Management Guide This Data Management and Publishing Guide is a practical self-help guide to the management and curation of research data throughout its life cycle. It provides guidance on a range of topics, including: planning for data management, documentation/metadata, file formats, data organization, data security and backup, citing data, data integration, funder requirements, ethical and legal issues, and sharing and archiving data. Assistance with Creating Data Management Plans Many funders, such as the National Science Foundation, have requirements for data sharing and data management plans. We can help you to put together such a plan, assess the data management needs of your particular project, and assist in identifying solutions for data management and archiving. Workshops Individual Consultation and Collaboration with Researchers Contact Us.
What is a Dataset? As my last post highlighted, I’ve been thinking about how we can find and discover datasets and their related APIs and services. I’m thinking of putting together some simple tools to help explore and encourage the kind of linking that my diagram illustrated. There’s some related work going on in a few areas which is also worth mentioning: Within the UK Government Linked Data group there’s some work progressing around the notion of a “registry” for Linked Data that could be used to collect dataset metadata as well as supporting dataset discovery. There’s a draft specification which is open for comment. I’d recommend you ignore the term “registry” and see it more as a modular approach for supporting dataset discovery, lightweight Linked Data publishing, and “namespace management” (aka URL redirection). Thinking about these topics I realised that there are many definitions of “dataset”. Definitions of Dataset “a collection of data records for computer processing” Which is pretty vague.