Technical preparation and implementation - European Data Portal. « How to build an Open Data strategy Contents Putting in place an Open Data lifecycle » From a technical point of view, publishing data can have a large impact. Publishing data involves several processes. In short, it involves collecting, preparing, publishing and maintaining data. In this chapter, we will highlight the most important aspects to keep in mind, namely Data management, extracting, transforming and publishing data, channels, search and pre-requisites, choices and accountability. The technical implementation process Data management Before publishing data as Open Data, your organisation should have an overview of your current data management structure. Recommendation: First, draft an overview of the data management practices within your organisation and make sure that this is clear and documented before publishing data In some cases, neither a specific structure nor governance has been set up.
Data management per instance Data management per instance MDM with Centre of Expertise. Search.bioPreprint | HSLS. Jump to navigation search.bioPreprint Comprehensively search preprint databases to discover cutting edge,yet-to-be published or reviewed biomedical research articles. Search Examples: keyword (CRISPR); phrase ("Zika virus")Use quotation marks for searches with 2 words or more. Resources searched: arXiv (Quantitative Biology), bioRxiv, F1000Research, PeerJ Preprints Install the bioPreprint bookmarklet to integrate seamlessly any text from any web page with the bioPreprint search engine! About search.bioPreprint Contact the administrator with comments or questions The Health Sciences Library System supports the Health Sciences at the University of Pittsburgh. © 1996 - 2016 Health Sciences Library System, University of Pittsburgh.
University of Pittsburgh Libraries IP Check. "Funding research data management and related infrastructures" - a Science Europe & Knowledge Exchange report | RDA. The Science Europe Working Group on Research Data and the Knowledge Exchange Research Data expert group joined forces to explore how RDM/RDI are, or can be, funded. This briefing paper presents the results of the joint activity, detailing the approach and main outcomes of the study. Responsible Research Data Management (RDM) is a pillar of quality research.
In practice good RDM requires the support of a well-functioning Research Data Infrastructure (RDI). One of the challenges the research community is facing is how to fund the management of research data and the required infrastructure. Knowledge Exchange and Science Europe have both defined activities to explore how RDM/RDI are, or can be, funded. In 2014 and 2015, surveys were conducted to explore the funding and costing of Research Data Infrastructures in 22 European countries, contrasting the very heterogeneous findings with the demands of service providers and research institutions. Download the Briefing paper. Foodie - Farm-Oriented Open Data In Europe. Open Harvest 2016 : Release of the Chania declaration. Open Harvest 2016 was held on the 18th to the 21st of May 2016 in the City of Chania, Greece. This blog provides a summary of this event.
The major aim of this first meeting was to reach an agreement, define the process, and specifying the different components of a 10 year roadmap for an open, shared, distributed data infrastructure for agriculture and food. The development of this roadmap was critical for this meeting as it will be linked to opportunities to finance its development ( and eventually, its implementation) by major funding agencies and donors. Structure of the Open Harvest 2016 . The meeting was comprised of invited selected participants who were organized into three working groups. These were In preparation for the discussions during the workshop, key documents were circulated to the participants and some questions to guide the deliberations.
There were 3 breakout sessions on Wednesday and 1 on Thursday - in all these the respective coordinators reported to plenary. Search results | Farm Hack. .@NASA's @spaceapps challenge resulted in 1200 open data projects from 15,000 citizens- @bethbeck #MobileGov16 Winners announced this week! Data is out of beta. Starting today, Mendeley Data is out of beta. We’re extremely happy with all the great datasets people have been submitting, and we now think that the product has reached the level of maturity where it has all the features people need to publish their research data online. If you haven’t heard of Mendeley Data before, it’s a new product that allows anyone who has data from experiments to publish it online and get a DOI for it so that it is citable. We launched the beta version 6 months ago. We’ve released many new features over those months, in fact we’ve had 80 releases. So now we’re leaving beta, as a vote of confidence for Mendeley Data being stable, robust and fully featured.
We think that Mendeley Data is now the best place to store research data online. Some of the new things we’ve introduced over the last few months are an expanded category selection (we now have over 4,000 categories to choose from!) So what are you waiting for? Like this: Like Loading... DCMI Home: Dublin Core® Metadata Initiative (DCMI)