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This release adds support for the Covid19 Data Hub which includes Google and Apple mobility data amongst a large range of other data sets, data from the European Commission's Joint Research Centre which is at both the regional and national level, and individual sources for regional data from several countries. Package updates have been made in line with a software review at the Journal of Open Source Software. Finally, this release exposes more of the testing infrastructure to users and adds a package hexsticker.
\n\nThanks to @joseph-palmer, @RichardMN, and @kathsherratt for contributions towards this release.
\n\nNew features
\n\nChanges to implemented data sources
\n\nOther changes
\n\ncommon_data_urls
or level_data_urls
to be present. The previous default which forced the presence of common_data_urls
meant that several classes had to define an empty field (by @joseph-palmer).DataClass
. test_regional-datasets
now calls the test function for all classes at each level. Data set specific tests (such as for NHS regions in the UK) are included as a specific_tests
function within the country class, which is called by the parent (DataClass) test
after performing standard checks. This allows all the code about a country to be defined in its own class. In addition, users can run tests interactively by calling the test method (e.g. $test()
) (by @joseph-palmer)make_new_data_source()
with the country / source name to add and it will set up the basic structure for you. There is also now a github check to make sure all new sources have a workflow set up (by @joseph-palmer).source_
fields to all data sets to help users properly attribute their data sources (by @RichardMN).Bug fixes
\n\nLithuania()
data set would ignore optional class specific arguments has been fixed (by @RichardMN).JHU()
source had multiple region codes for each country has been fixed, giving just one region code per country (by @joseph-palmer).The Coronavirus Disease Research Community - COVID-19 is curated by a selected team of experts nominated by OpenAIRE* (see list below). Each time a Zenodo user wants to add a record into the community, an email is sent to the curators that will decide whether to include the record or not.
\r\n\r\nOnly records that may be relevant to the Corona Virus Disease (COVID-19) or the SARS-CoV-2 should be included in this community. The Community curators are not able to edit records, therefore they may ask the corresponding authors to modify the record metadata when necessary, to provide the readers/users with more detailed information according to the FAIR principle of Open Science.
\r\n\r\nIf after its acceptance, a record is subsequently found not to be compliant, we reserve the right to remove it from the community.
\r\n\r\nThe curation team is reachable through the following email address for further clarification or information: covid19@openaire.eu.
\r\n\r\nCurator List:
\r\n\r\n* OpenAIRE: open access and open science training and support since 2009. OpenAIRE is the largest aggregator of European Commission funded research outputs and beyond, also delivering on-demand services for research communities.
\r\n", "page": "This community collects research outputs that may be relevant to the Coronavirus Disease (COVID-19) or the SARS-CoV-2. Scientists are encouraged to upload their outcome in this collection to facilitate sharing and discovery of information. Although Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nThe recent Corona Virus Disease (COVID-19) outbreak is requiring unseen efforts of collaboration of the scientific community that need to act fast and to share results in an unpredictable manner. In order to facilitate the Scientist efforts, this community was created to collect all research results that could be relevant for the scientific community working on the Corona Virus Disease (COVID-19) and SARS-CoV-2.
\r\n\r\nAlthough Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nWhen depositing a resource that is linked to other resources (not limited to the records deposited in Zenodo but also in other repositories), please make sure that your record is linked to all the other related elements already available, in order to adhere to the FAIR principles of Open Science to maximise the reusability of research results.
\r\n\r\n", "title": "Coronavirus Disease Research Community - COVID-19" }, "revision_id": 0, "slug": "covid-19", "updated": "2021-02-23T14:39:53.029415+00:00" } ], "ids": [ "10f33f78-3f29-41b6-bb10-f757a8f03cb8" ] }, "id": "3957539", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.3957539", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.5059988", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:5059988", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 330237026.0, "downloads": 444, "unique_downloads": 427, "unique_views": 7664, "views": 8781 }, "this_version": { "data_volume": 54492448.0, "downloads": 32, "unique_downloads": 32, "unique_views": 639, "views": 679 } }, "status": "published", "updated": "2022-02-07T10:19:37.607375+00:00", "versions": { "index": 16, "is_latest": false } }