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 as well as personal interests.

Royal Library of Belgium

Sven Lieber

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

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

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,  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,  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,  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,  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

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,  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

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,  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,  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,  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,  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,  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,  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

FAIR Data Digest

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-buzzword-bingo-what-is-e-rihs}

<div>

------------------------------------------------------------------------

</div>

There are already countless intertwined research and infrastructure
initiatives in the cultural heritage field, even more beyond it. In this
category I will focus on one of the many FAIR data-related initiatives,
this week: **the European Research Infrastructure for Heritage Science
(E-RIHS)**

I have introduced some research infrastructures related to the *Social
Sciences and Humanities* (SSH) in previous editions. For example CLARIN
about language data or DARIAH about Digital Humanities. But actual
cultural heritage is broader, it's about both **cultural and natural
heritage.** The latter refers to for example monuments and paintings or
in the future maybe even *CD-Roms*. Let's have a look at what Heritage
Science is and which role FAIR data plays in the European Research
Infrastructure for Heritage Science.

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<figcaption>Heritage Science, where cultural heritage and technology
meets. Picture from the European Research Infrastructure for Heritage
Science at https://e-rihs.eu</figcaption>
</figure>
:::

In short, Heritage Science covers several scientific fields, such as
chemistry and biology, or art history and engineering. Very diverse! It
has to be interdisciplinary because it studies and preserves materials
and techniques from the past. I\'m only a computer scientist, so please
forgive my vague description, but as far as I understand it, you have to
use **state-of-the-art techniques and instruments** to treat very old
objects **very carefully**. But as well as knowledge of the materials
used and how to treat them, you also need to understand the object in a
**wider cultural and humanities context**.

Sounds interesting, but also like a lot of work where standard office
programs like Word or Excel might not be too helpful. After all, there
might be data from **3D scans**, **molecular analysis**, **dating and
aging tests**, **physical and thermal characterization**, and more. As a
researcher you also need to collaboratively work together with
colleagues from different institutions in possibly different countries.
Check the short introduction video below to get an idea.

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## Background E-RIHS

There have been different collaborative projects in the past, but since
2016 the new kid in town is the European Research Infrastructure for
Heritage Science (E-RIHS). It **entered the ESFRI roadmap in 2016** and
thus joined other large scale research infrastructure initiatives.

The initiative is in full swing. A first *preparatory phase* project has
already been completed
([Q123413373](https://www.wikidata.org/wiki/Q123413373)) and another
*implementation* project
([Q123413608](https://www.wikidata.org/wiki/Q123413608)) has started
with the aim of creating a legal entity for E-RIHS in the form of an
ERIC (see [FDD#6](https://fair-data-digest.org/archive/6)). In addition,
another platform integration project (IPERION HS) has been launched with
a budget of **more than 6 million Euro**.

E-RIHS is organized in a **central hub** and in so far **14 national
nodes**. For example, the national node for Belgium was founded in 2019
and consists of *The Royal Institute for Cultural Heritage*
([Q2235462](https://www.wikidata.org/wiki/Q2235462)), *The Royal Museums
of Art and History* ([Q945059](https://www.wikidata.org/wiki/Q945059)),
and *The Royal Library of Belgium*
([Q383931](https://www.wikidata.org/wiki/Q383931)). My employer thus and
a few partners of our *MetaBelgica* project
([Q119717964](https://www.wikidata.org/wiki/Q119717964)). However, not
related to MetaBelgica, different departments are involved :-)

[Check out all 14 national
nodes](https://www.e-rihs.eu/national-nodes/){.button .primary}

## E-RIHS and FAIR data

According to their website, E-RIHS *"believes in Open Science"* and the
FAIR principles are *"fundamental to their vision"*. This includes a
data-curation policy and mandatory data management plans. Documentation
and research data is available on
[Zenodo](https://zenodo.org/communities/e-rihs) and
[OpenAIRE](https://explore.openaire.eu/search/find/research-outcomes?fv0=E-RIHS&f0=q&resultbestaccessright=%22Open%2520Access%22).

The diverse data of the **three service platforms** related to the
IPERION HS project catalogue of services make it clear that FAIR data is
needed. [ARCHLAB](https://www.iperionhs.eu/archlab/) providing access to
largely unpublished datasets. Data created by the instruments in the
[FIXLAB](https://www.iperionhs.eu/fixlab/) research facilities or by the
distributed mobile instruments of
[MOLAB](https://www.iperionhs.eu/molab/). Already digitized data as well
as measurements of physical objects that need to be Findable,
Accessible, Interoperable and Reusable!

I'm curious to learn about more future outcomes of the project related
to FAIR data. Let me know if anyone of you is working on it or a related
project.

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That's it for this week of the FAIR Data Digest. If you found the
content interesting, please share and subscribe. See you *in two weeks*!

Sven

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