CURRENTLY PATERNITY LEAVE. Notes on my work with (cultural heritage) FAIR data. Topics cover Programming, Open Science, Digital Humanities, Knowledge Graphs, Linked Data, Metadata, data catalogs, Wikidata, RDF, SPARQL and the Semantic Web.

Royal Library of Belgium

Sven Lieber

Dear subscriber,  Welcome to the first edition of my new weekly newsletter! Within different recurring categories I will provide updates of my work, my personal journey, and topics such as Knowledge Graphs, Linked Data, FAIR data, Open Science and many more. It is conference season!

FAIR Data Digest #1

Hi everyone,  in today’s slightly more technical edition I will focus on my recent encounters with the Linked Data query language SPARQL. Many of you may know it as a language to retrieve data (possibly from Wikidata). I mainly use it for a project where I recently found some performance issues that could be resolved by either rewriting the query or changing the approach.

FAIR Data Digest #22

Hi everyone,  last week I told you about
<em>
 European Research Infrastructures Consortia
</em>
or ERIC in short. Today we gonna look into one of these ERICs that is active in the Cultural Heritage field. I also have to celebrate a tiny anniversary related to Wikidata and I will share a resource about FAIR Jupyter notebooks.

FAIR Data Digest #7

Hi everyone,  welcome to the 3rd edition of my newsletter! Besides the fact that we have suffered the first official heat wave in Belgium this year, I have other hot information to share.

FAIR Data Digest #3

Dear subscriber,  welcome to the second edition of the newsletter and also a warm welcome to all new subscribers. It has been an interesting week. In this edition I will talk about some work updates, a one-day workshop I’ve attended last week and I have a video recommendation.

FAIR Data Digest #2

Hi everyone,  welcome to today’s edition on the the
<em>
 European Day of Languages
</em>
(Q496423).  ::: {.subscription-widget-wrap attrs=“{"url":"https://fairdata.substack.com/subscribe?","text":"Subscribe","language":"en"}” component-name=“SubscribeWidgetToDOM”}  Thanks for reading FAIR Data Digest! Subscribe for free to receive new posts and support my work.

FAIR Data Digest #17

Hi everyone,  welcome to another summer-break edition. This time with a webinar recording about persistent identifiers for FAIR data and news about data cataloging with DCAT both in Europe and the US.  ::: {.subscription-widget-wrap attrs=“{"url":"https://fairdata.substack.com/subscribe?","text":"Subscribe","language":"en"}” component-name=“SubscribeWidgetToDOM”}  Thanks for reading FAIR Data Digest!

FAIR Data Digest #10

Hi everyone,  greetings to one of our summer editions! Whether you're on vacation, just back, or about to head off, I've got some interesting content to share with you.

FAIR Data Digest #9

Hi everyone,  today’s edition is about FAIR data that is not necessarily related to cultural heritage, but related to cars 🚗. We will have a look into an Open Data dataset of the Dutch government that provides data which hopefully helps me to answer some questions about
<strong>
 child safety seats
</strong>
. Statistics shown in this post come from this GitHub repository.

FAIR Data Digest #23

Hi everyone,  did you ever wonder how FAIR data is put into practice? This week I went down the rabbit hole and what I brought back is the start of a new series to
<strong>
 unravel the many FAIR data initiatives
</strong>
. There are also some good news for (Belgian) FAIR data in my work update!

FAIR Data Digest #5

Hi everyone,  I’m on vacation now, but thanks to pre-scheduling you won’t miss out FAIR data updates! Today I want to share with you a research paper in which the authors report on the creation of large amounts of FAIR data which they host on Wikidata.

FAIR Data Digest #12

Hello everyone,  welcome to today’s Halloween edition about
<em>
 data anti-patterns
</em>
that hopefully will scare you so much you don’t do them :-) Things you better avoid when aiming for FAIR data. Anti patterns?

FAIR Data Digest #20

Hi everyone,  greetings from Karlsruhe in Germany where I am attending a conference about research data infrastructure at the moment.

FAIR Data Digest #15

Hi everyone,  it has been a while since we talked about research infrastructures. Many of them might sound abstract or just like super specialized app stores. But today we have a brief look into something very tangible: heritage objects that are analyzed by instruments or are digitized in other forms. There is lots of diverse data in Heritage Science. ❓ FAIR Buzzword Bingo: what is E-RIHS?

FAIR Data Digest #21

Hi everyone,  in today’s edition I will try to explain what DARIAH / CLARIAH is and what they do in the context of FAIR data. I am also sharing a video of some recent presentations about Wikipedia from the Wikimedia Research Showcase. ::: {.subscription-widget-wrap attrs=“{"url":"https://fairdata.substack.com/subscribe?","text":"Subscribe","language":"en"}” component-name=“SubscribeWidgetToDOM”}  Thanks for reading FAIR Data Digest!

FAIR Data Digest #8

Hi everyone,  if you are a researcher and you want to follow the FAIR data principles you are not left alone. In today’s edition I will try to explain what ERIC is and what they have to do with FAIR data. As for work updates: I was on a small camping vacation in France, so there are no work updates, but I came back with many ideas for the future!

FAIR Data Digest #6

Hi everyone,  this week it’s all about hands-on! I will talk about a webinar on trying to fix quality issues in Wikidata by using its ontology. Additionally I will share a few resources around basics and advanced uses of the query language SPARQL that is used to query Linked Data, for example from Wikidata.

FAIR Data Digest #4

Hi everyone,  welcome back to today’s edition in which I share a work update related to bibliographic data and provide information to an upcoming interesting talk. ::: {.subscription-widget-wrap attrs=“{"url":"https://fairdata.substack.com/subscribe?","text":"Subscribe","language":"en"}” component-name=“SubscribeWidgetToDOM”}  Thanks for reading FAIR Data Digest! Subscribe for free to receive new posts and support my work.

FAIR Data Digest #19

Hi everyone,  this edition starts with two announcements before it dives into the topic of software engineering skills for data science. This newsletter started as a
<strong>
 weekly newsletter
</strong>
in which I shared topics around FAIR data and updates about my work. Selecting one or more topics each week is fun and helps myself to
<em>
 summarize
</em>
and
<em>
 understand
</em>
topics better.

FAIR Data Digest #18

Hi everyone,  as promised, today you will hear more about the research data infrastructure conference where I and around
<strong>
 680 other people
</strong>
attended last week in Karlsruhe, Germany. Grab a cup of coffee of tea and enjoy today’s edition!

FAIR Data Digest #16

Hi everyone,  I hope you had a great summer. The academic year is about to start and I hope you are hungry for some knowledge :-) In today’s edition I want to introduce you to the European Open Science Cloud (EOSC).  ::: {.subscription-widget-wrap attrs=“{"url":"https://fairdata.substack.com/subscribe?","text":"Subscribe","language":"en"}” component-name=“SubscribeWidgetToDOM”}  Thanks for reading FAIR Data Digest!

FAIR Data Digest #14

Hi everyone,  this last summer-break edition ties in with the previous edition. Last week I’ve wrote over research to make
<strong>
 publication metadata
</strong>
from the free publishing service CEUR-WS
<strong>
 available in a FAIR fashion
</strong>
, such that the data can be explored.

FAIR Data Digest #13

Hi everyone,  today’s summer-break edition is for anyone who likes free and open knowledge. There is a short video that explains the intriguing new
<strong>
 Wikifunctions
</strong>
project. Besides that I will talk about my experiences of creating a Wikidata page about a company, hopefully it inspires you to also contribute to free and open knowledge.

FAIR Data Digest #11

FAIR Data Digest

Hi everyone,

welcome to another summer-break edition. This time with a webinar
recording about persistent identifiers for FAIR data and news about data
cataloging with DCAT both in Europe and the US.

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🎥 Unique and persistent identifiers are a **corner stone of FAIR
data**, because both humans and machines need to find things. Especially
within research there are plenty of needs to identify all kinds of
things: from software and datasets to specific fragments or whole
workflows. In a recent webinar about persistent identifiers best
practices from the FAIR IMPACT project, researchers share use cases and
challenges. Go check it out!

📋 The web is full of data and I am not talking about unstructured data
only. Many organizations are publishing datasets on the web. In order to
find them and to know what they are about, one needs to describe them in
a standardized way. Recently the 3rd version of the Data Catalog
Vocabulary (DCAT) was published. The DCAT-AP vocabulary in Europe and a
project around a DCAT-US profile were updating their standards with
input from the community. The public review period for DCAT-AP is still
open!

<div>

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</div>

# 🎥 Videos not to miss: Persistent Identifier Webinar {#videos-not-to-miss-persistent-identifier-webinar}

<div>

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</div>

The \"F\" in FAIR emphasizes the significance of data findability! As
per the FAIR data principles, *(Meta) data must be assigned persistent
and globally unique identifiers*. This approach is logical, as it
enables us to easily refer to specific items and avoid ambiguity.

A while ago, the FAIR IMPACT project
([Q121290723](https://www.wikidata.org/wiki/Q121290723)) hosted a
webinar about **best practices for Persistent Identifiers (PIDs)**. Some
very interesting use cases from research were presented and questions
were raised. To give you an idea, research instruments (including
software) should be identifiable, but separately also the configuration
of those instruments and workflows in general. Raised questions covered
the identification of fragments of things, or how to cite dynamic
research and specific data subsets.

One presentation mentions [FAIR Digital Object
Profiles](https://www.dissco.eu/fair-digital-objects-profiles/) (FDOs)
([Q59140217](https://www.wikidata.org/wiki/Q59140217)) that bundle
relevant information. Very handy in the so-called data spaces (choices
of technologies and sets of regulations that defines a space). By the
way, while googling I also found the [FAIR Digital Object
Framework](https://fairdigitalobjectframework.org/), but I think it is
something different.

Below you can find the webinar recording so you can check out the
different interesting presentations and brief results of group
discussions yourself!

[Check the event
info](https://fair-impact.eu/events/fairimpact-events/pid-best-practices-complex-data-citation-semantic-artefacts-and-related){.button
.primary}

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# 📋 Data models: DCAT-AP 3.0.0 and DCAT-US {#data-models-dcat-ap-3.0.0-and-dcat-us}

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We live in a decentralized world, many organizations are managing and
releasing datasets. As user you have to navigate through it. You have to
search ***for*** data before you can search ***in*** the data (one
mantra of the book The Enterprise Data Catalog from [Ole
Olesen-Bagneux](https://www.linkedin.com/in/ole-olesen-bagneux/)).

Data catalogs are what the name suggests: a catalog of metadata about
datasets. These datasets can be in your organization or anywhere in the
web. The **Data Catalog Vocabulary (DCAT)**
([Q16892890](https://www.wikidata.org/wiki/Q16892890)) is a common
standard used to describe datasets. It is used in many different
contexts and data platforms.

A while ago, [version
3.0.0](https://joinup.ec.europa.eu/collection/semic-support-centre/solution/dcat-application-profile-data-portals-europe/release/300)
of DCAT-AP was released, a specific DCAT application profile that
started as a specification for datasets in Europe but is applicable more
broadly.

> *"Initially, the scope of the specification was the exchange between
> Open Data Portals in Europa. Although this is still at the core of the
> specification, DCAT-AP is not limited to public accessible Open Data,
> but can be applied to any kind of datasets. In the past decade,
> DCAT-AP has grown from a single specification to a whole ecosystem of
> related and interconnected specifications."* - [DCAT specification
> 3.0.0](https://semiceu.github.io/DCAT-AP/releases/3.0.0/)

Are you using DCAT-AP or are you planning to? The review period for the
new 3.0.0 release **is still open until September 30**, offering an
opportunity to provide feedback that may be incorporated into the
project.

[DCAT feedback on
GitHub](https://github.com/SEMICeu/DCAT-AP/issues){.button .primary}

Not only the DCAT-AP was updated to be aligned with DCAT3, there are
also efforts in the US. As part of the FAIRness project
([Q55611417](https://www.wikidata.org/wiki/Q55611417)), the Project Open
Data (DCAT-US 1.1) is also updated to meet current demands. Check out
the following medium article about DCAT US and why it matters.

[Read about
DCAT-US](https://medium.com/@stephanef/unraveling-the-dcat-standard-and-the-benefits-of-a-dcat-us-profile-c2c5b6cfbd44){.button
.primary}

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That's it for this week of the FAIR Data Digest. I hope you found the
content interesting. Don't forget to share or subscribe. See you next
week!

Sven

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