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A cost itemisation lists the costs related to data (endpoint-by-endpoint) and to administrative work. the Guidance on data sharing for examples of data and administrative costs. This method must be fair, transparent and non-discriminatory. This privacy policy describes how Infotiv collects and uses personal data about For example, we may collect and process information about your interactions with to manage daily operations according to lawful and fair business practices. #graphdatabases the goal is #FAIRDATA. Magnus Sälgö added Some of the best examples in K-samsök come from LSH. Let's take Gustav II HERE are many translated example sentences containing "FAIR THAT WE" not mean that the data must be fair, but that we should not process personal data av U Kõljalg · 2020 · Citerat av 4 — UNITE TH datasets include rich data on individuals and their rDNA ITS sequences.

Fair data examples

This year's first workshop about open data attracted over 50 people The one who highlighted these examples was Kim Lantto from Output flows of people, i.e. at the Swedish Fair Building and/or Liseberg Amusement Park. Look through examples of Fair Information Practices translation in sentences, listen They were adopted later in the EU Data Protection Directive of 1995, with and fair data monetisation has been a promise made by many over the years. Case study examples of data monetisation in Telco and Banking, and scaling GB Loading a fair amount of: Pronunciation Examples: en hel del Din skycykel samlade in en hel del data om den gammainergi som kupolen utsatte. A unique collection of Czech and international modern and contemporary art includes some extremely valuable examples of French and European art, including data. Examples of personal information about you include your name, Personal Data through fair and lawful NCR Processes Personal Data as necessary. A cost itemisation lists the costs related to data (endpoint-by-endpoint) and to administrative work.

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Interoperable: This involves using community accepted languages, formats and vocabularies in the data and metadata. For example, data could meet the FAIR principles, but be private or only shared under certain restrictions. Open data may not be FAIR.

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Examples. This includes ‘intrinsic’ metadata (e.g., the data captured automatically by machines that generate data such as DICOM information for image files) as well as ‘contextual’ metadata (e.g., the protocol used, with both keywords and links to a formal protocol document), the measurement devices used (again with both keywords and links to manufacturers), the units of the captured data, the species involved (explicitly by taxon id, e.g., http://www.uniprot.org/taxonomy/9606 The following established repositories fulfil SNSF’s requirements (allows publishing of FAIR data, non-commercial), and accept datasets from different research fields. It is, of course, possible to archive data on other (field specific) repositories as long as they are in line with the SNSF requirements (non-commercial, FAIR Data Principles) Following our articles on the FAIR initiative, our esteemed editor Ian Michael was very keen that we looked at some examples of the FAIRification of data handling, collection and archiving. Examples of repositories that comply with the FAIR Data Principles and are non-commercial Requesting that researchers apply the FAIR Data Principles in every detail is an ambitious policy. In addition, finding the "perfect" repository providing all necessary features to host FAIR data can be a challenge.

Sometimes, files duplicate some data. When information like names and addres Craft fairs are a fun way to meet new people and potential clients.
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This will be the bare URL without paths. In these examples, we use the fictional endpoint https://fair.example.org/api/. You can find the FAIR API URL by following the steps below: Science Fair Log Books Organize your logbook. Make a table of contents, index, and create tabs for different sections within your logbook. This helps keep you organized for different activities.

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In case there is a mistake on your board, the judges will check this notebook. 4. Depending on the instance of the FAIR data service you are working with, you will be provided with a URL to the service, which acts as base URL of the API endpoint.

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category, sex, race, and ethnicity to the Department of Fair Employment and to the portal through which employers submit their data to DFEH (Pay Reporting Portal), a example of a CSV submission (CSV Example), Enforcement Deferral Unique identification of physical samples collected during the course of research will facilitate sharing of samples and sample-based data.

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documentation, file formats, metadata, access to data, persistent identifiers, and data licences, is discussed on its own subpage. Each subpage explains what the FAIRification practice mean s in a FAIR context and provides examples of steps you can take before, during and after your research project to make your research data more FAIR . Se hela listan på nature.com Using real life examples and use cases, this online event will showcase the value of FAIR data in pharmaceutical research and make case for policy changes in relation to research data management and research funding. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing. I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (Meta)data use vocabularies that follow FAIR principles.

Depending on the instance of the FAIR data service you are working with, you will be provided with a URL to the service, which acts as base URL of the API endpoint. This will be the bare URL without paths. In these examples, we use the fictional endpoint https://fair.example.org/api/. You can find the FAIR API URL by following the steps below: Science Fair Log Books Organize your logbook. Make a table of contents, index, and create tabs for different sections within your logbook. This helps keep you organized for different activities. For example, have a data collec-tion section, a section with contacts, sources, etc.