Explore the insights about our second webinar for data providers on
technical openness
On Friday 21 October, the webinar ‘Understanding open data:
technical openness
[https://data.europa.eu/en/academy/learning-corner-data-providers]’
took place. This webinar was the second of a series of trainings
organised by data.europa.eu academy
[https://data.europa.eu/en/academy/learning-corner-data-providers] to
support data providers in the data publishing process. Specifically,
this webinar focused on the need for open data to be technically open,
i.e., freely accessible and available in non-proprietary and
machine-readable formats.

From a technical perspective, openness can also be described according
to degrees, following Tim Berners-Lee´s 5-Stars Model
[https://data.europa.eu/en/academy/usefulness-data-stars-linked-open-data],
with the first degree meaning that data is available on the web under
open license and the fifth degree where data is linked to other data.
A good degree level to start with is three stars, making data
available in non-proprietary format. Appropriate formats are CSV,
JSON, XML, RDF, while PDF, DOCX, ODT, PNG, GIF, JPG/JPEG, TIFF, DOC,
XLS should rather be avoided.

To overcome a low technical openness, which can often be due to a lack
of time and/or knowledge on the side of the data publishers, it is
essential to introduce data management in the organisation. From a
strategic perspective, this means:

 	* Creating a clear and functioning data governance framework that
touches upon data quality, maintenance, privacy, and compliance;
 	* Defining concrete tasks, responsibilities, and roles;
 	* Building competences among employees, starting from the
recommendations for delivering high-quality data contained in the Data
Quality Guidelines
[https://op.europa.eu/en/publication-detail/-/publication/023ce8e4-50c8-11ec-91ac-01aa75ed71a1/language-en]
by the Publications Office of the European Union.

From an operational level, data needs to be carefully prepared before
publication. This means using an interactive and agile process to
explore, combine, clean, and transform raw data into curated,
high-quality datasets. 

Complementary to these tips, Jakub Klímek (External expert at the
Ministry of the Interior of the Czech Republic) shared his lessons
learned regarding the technical and cross-cutting layers of open data
publication, including:

 	* Motivation to publish - ´Good open data publication is rewarded
by usage of the data` which produces further benefits for all;
 	* Distribution design (i.e., bulk download, API etc.), taking into
consideration that ´there is no single best format for every case, so
there may be a need for multiple formats`;
 	* Web technologies used, such as HTTPS, IPv4 and IPv&, CORS etc.;
 	* Cataloguing, in order to make the catalogue readable and
harvestable also by other data catalogues; 
 	* Processing the feedback of both ´power users` (more expert and
engaged data consumers) and novices or potential users;
 	* Evaluating the data after publication.

Throughout the webinar, the audience had the chance to ask questions
and interact with the speakers. If you are also curious to know which
kind of data is ´for the general public`, whether content negotiation
is recommended, and what types of data formats best allow technical
openness of image data, watch the recording
[https://www.youtube.com/watch?v=cQMwMXd4n9I] and consult the
speakers´ slides on the ´Learning corner for data providers`
[https://data.europa.eu/en/academy/learning-corner-data-providers].

In the corner you can also find the latest updates on the webinars to
follow, among which the webinar for data providers on ´Understanding
open data: legal openness`
[https://data.europa.eu/en/academy/learning-corner-data-providers] that
will take place on Friday, 18 November 2022 at 10.00 – 11.30 CET. 

 

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Publication Date/Time
2022-10-28T07:00:00+00:00
You can watch the recording and consult the speakers´ slides on
data.europa academy.