List of Verbs! Learn useful list of 700+ common verbs in English with example sentences and ESL printable worksheets. Learn verbs list with different types classified by their grammatical functions.
This recommendation describes the curriculum and example materials to give Early Career Researchers (ECR’s) the foundational skills in Data Science to work with their data. This curriculum combines technical skills, such as Software Carpentry with responsible research practices such as Open and Responsible Research. This curriculum is composed of: a set of curriculum specifications for the modules run in this curriculum, an example timetable for a 10-day intensive training event, a diagram to show how these modules are connected, a spreadsheet of links to example materials that implements this, metadata for the submission, an impact statement, a document discussing the maintenance plan of the materials. The purpose of this curriculum is to be deliberately broad and shallow to be delivered over approximately 70 contact hours. It could also form the basis for a much deeper programme which will not be explored further. In 2016 we ran one school in Trieste, Italy. In 2017 we ran two, Trieste and São Paulo, Brazil. In 2018 we ran three, Trieste, São Paulo and Kigali, Rwanda. In 2019 we will run four schools (Addis Ababa, Ethiopia, Trieste, Abuja, Nigeria and San José in Costa Rica). At the end of this year approximately 400 students will have been taught on four continents using the curriculum developed here. Note: The submission package is available at http://doi.org/10.5281/zenodo.3478590
The HydroShare architecture is a stack of storage and computation, web services, and user applications. A content management system, Django+Mezzanine, provides user interface, search, social media functions, and services. iRODS provides content storage. A web browser is the main interface to HydroShare, however a web services applications programming interface (API) supports access through other hydrologic modeling systems, and the architecture separates the interface layer and services layer exposing all functionality through these web services.
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
Among the many online learning resources that the DCC offers digital curators are high-level briefing papers and legal watch, standards watch and technology watch papers.
Our digital library of resources is free to use and contains everything you need to engage effectively in digital curation and data preservation activities.
As a curator and a coder, I know it is essential to use naming conventions. It is important to employ a consistent approach when naming digital files or software components such as modules or variables. However, when a student assistant asked me recently why it was important not to use spaces in our image file names, I struggled to come up with an answer. “Because I said so,” while tempting, is not really an acceptable response. Why, in fact, is this important? For this blog entry, I set out to answer this question and to see if, along the way, I could develop an “elevator pitch” – a short spiel on the reasoning behind file naming conventions.
M. Krafczyk, A. Shi, A. Bhaskar, D. Marinov, and V. Stodden. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2197):
rsta.2020.0069, 20200069(May 2021)