OSTrails IF in practice: from Node experience to adoption in the EOSC Federation
Watch on YouTubeVideo summary
The OSTrails project aims to establish robust interoperability frameworks essential for the EOSC Federation by standardizing data exchange through APIs and preventing vendor lock-in. This initiative is built upon three core pillars: planning via Machine Actionable Data Management Plans, tracking using Scientific Knowledge Graphs, and assessing quality through FAIR assessment tools. By developing specific frameworks such as DMP-IF, SKG-IF, and FAIR-IF, the project enables service operators to automate workflows and ensure seamless communication between repositories, knowledge graphs, and evaluation systems without creating isolated silos.
Various national pilots have demonstrated the practical application of these frameworks across different contexts. In Finland, a reference data model was created that aligns with RDA standards while extending to cover software management plans and local data protection requirements. Poland integrated existing platforms like Argos and FairOS to facilitate bidirectional data exchange with OpenAire knowledge graphs, whereas the Netherlands focused on combining privacy, ethics, and compliance within integrated workflows. Additionally, the PaNOSC cluster utilized these tools to link research instruments and datasets with persistent identifiers, integrate external publication data, and perform automated assessments of metadata quality.
The CLARIN pilot within the SHOCK cluster further illustrated the potential of the Scientific Knowledge Graph framework by mapping Virtual Language Observatory metadata to a core model and exposing it via API, distinct from other approaches that simply wrap existing services. During the discussion, experts emphasized that while FAIR assessment tools serve as evidence of readiness rather than an end goal, the strategic priority remains on knowledge graphs to transform nodes from simple directories into functional federated entities. Although some concerns were raised regarding the bureaucracy of machine-actionable data management plans, the consensus highlighted that interoperability frameworks are crucial for avoiding vendor lock-in and ensuring services can be onboarded effectively.
The webinar concluded with a strong indication of community interest in adopting all three frameworks, supported by survey results showing a high likelihood of implementation across the federation. Rather than creating non-interoperable services or redundant systems, the session encouraged national nodes to collaborate on gradual implementation strategies and share their experiences. This cooperative approach is intended to foster a common future within the EOSC Federation, ensuring that data exchange remains standardized, automated, and free from the constraints of proprietary vendor ecosystems while addressing diverse institutional needs.
Read the full video transcript
Let me welcome you all.
My name is Francisca de Jong. I'm one of
the
uh
work package leaders in the project OS
Trails. We organized this event to reach
out to um
uh in principle anyone anybody who is
interested in uh the interoperability
frameworks that are being developed
within uh the project OS Trails. Um but
we focused this webinar on uh people
with an interest from the perspective of
the
uh emergence of the EOSC Federation and
the nodes uh that uh
uh will play an important role um
uh
that will be the the backbone of uh of
the Federation. Um both candidate nodes
and uh
um first wave nodes have been invited
uh as audience and uh we hope that this
will webinar will
um help you understand better what the
OS Trails interoperability frameworks
could bring to the EOSC Federation and
how uh you could um
uh adopt the results. It's uh
uh
the the presentations that we prepared
are uh
presenting to you
first of all uh through a presentation
by Thomas Miksa about the
interoperability frameworks and then we
have five presentations with pilot
projects both from the thematic
perspective and the perspective of
national nodes.
Uh practically um
I would like to make you aware of the
notes on this first slide as well,
namely that this will be recorded. If
you don't want to be visible in the
recordings, please switch off your
camera.
We would also like to
um be informed about the node to which
you are associated if any. So, please uh
adjust your name affiliation to make
that clear. And after the webinar, you
will be invited to share comments and
questions about the
interoperability frameworks
of OS Trails so that we can arrange more
tailored interactions with you in the
near future.
I think
we are ready to start.
38 people right now in the meeting room.
Welcome all that missed the very first
sentence. I would like now to hand over
to Thomas Mixa.
>> Thank you very much. Welcome everyone.
So I have this pleasure to give you an
overview of the stuff we're doing in OS
Trails.
I am promising not to make this
presentation too technical. You will
hear about the details of implementing
OS Trails from the
pilots we have in our
project and there are also people who
are responsible for the specific
interoperability frameworks here with
us.
Paolo Manghi for SKGIF, Mark Wilkinson
for FAIR IF, and and Marek Suchanek for
DMP IF. So in case I don't say anything
relevant, I'm sure that they will
correct me or if you have basically any
questions at the end of the of the
event.
So I think every
project presentation starts with this
overall picture of what this project is
doing and
in OS Trails we have three main
pillars. So we are dealing with planning
data management, tracking use of data,
and assessing or if you want to can call
it evaluating whatever synonym you find
then it's most best for you.
What happens with the data? So
for the planning part we work with
machine actionable data management plans
where we describe what will happen
during the research. For the tracking of
data, we work with SKGs. SKGs can be
understood both as scientific knowledge
graphs and scholarly knowledge graphs.
And for assessing, we work with fair
assessment, and we deal with questions,
what does it mean to be fair in a
specific context in a specific
community? And what we're doing here,
we're doing for EOSC, but the work we do
here also remains universal outside of
EOSC. So, today we are in the EOSC
crowd, so we will be focusing on what is
the relevance for the nodes, but we
believe our work is universally
universal
universally applicable.
What is also important to say about OS
Trails, it's a relatively big project.
You have seen that we have 40 partners,
and we have lots of pilots. We have both
national pilots, so organizations from
specific European countries that are
adopting the interoperability frameworks
in their context, and we also have
thematic
pilots, which are often clusters, which
do it for a specific
community. And this is basically a test
bed for the ideas we have and for the
things I will be talking about today.
As in every software engineering
project, because this is the big part of
of our project is basically finding out
how to improve the existing software. We
had to start with the requirements
analysis, with defining the use case,
what actually are we going to do?
And by analyzing
what our pilots have, what kind of tools
they have, we came up with this pathways
diagram. And we have few versions of the
pathways diagram, which are a little bit
more complicated, but in this in this
simplified diagram, you can see four
main boxes, namely repository, SKG, fair
assessment tool, and DMP platform. And
these are the four main objects that we
are focusing on to standardize the
interoperability among them. So, in this
pathway specifically, you can see
potential actions that we have right now
between the systems, but also the
actions you can have in the future. So,
if you look at the repository at the
top, we can say a repository might want
to add a research output to a DMP
platform. So, there is it is possible
that we would like to make we would like
to make it possible that whenever time a
data set is published, and information
is added to the data management planning
platform to the data management plan,
that you don't have to do it manually.
This is basically what frustrates the
users, and they want to have
less work. And I think this is exactly
the kind of a
discussion you have for your notes,
because you're providing different
services, and so far as far as I know,
many of the services are isolated. And
if you want to create a value for the
researchers, you want to start
connecting them. And this is basically
what we're trying to do here with all
the strains. Of course, we're not trying
to standardize everything. We can only
focus on
these aspects where we have something to
say because we have people in the
consortium who know something about it.
And that's how we came up with the
architecture of what we are doing. So,
you have again these boxes. So, DMP
platforms, SKGs, fair assessment tools,
data repositories, and also the DMP
evaluation service, but this is a
different story.
And we're saying basically that we are
developing these interoperability
frameworks, which provide the rules of
what does it mean to be interoperable on
the technical but also on the semantic
level. So, here in this diagram, next to
the DMP platform, you can see this
lollipop symbol with an MADMP API next
to it. For the SKG, you can see the SKG
API next to it. And for the fair
assessment tool, you can see this fair
IF
symbol basically, the label. And these
are the communications that a specific
tool provides this interface, provides
the API, and all other tools can
communicate with this tool using the
language defined by the interoperability
framework. So, as you can see at the
data repository, it still has a custom
API. So, we are not making any
recommendations of what should be the
way to talk to a repository. So, if you
have Invenio, if you have DSpace, if you
have Fedora, if you have anything else,
they have their their own APIs, they can
use them. If you have OAI-PMH endpoint,
it is still okay to have it. But, here
we're focusing on a set of
endpoints and actions you can
trigger if you want to implement things
we have depicted in the pathways before.
That's the big introduction about what
we're doing as a project. Now,
I would like to go into specific um
interoperability frameworks. So, the
first one we have uh deals with the data
management planning is a DMP-IF.
And I will explain it a bit more. And
for the other frameworks, you will see
that they are very similar in the
structure of what we're doing.
So, the goal for the DMP-IF is to Sorry,
I can't see that I have
uh is the standardize how information is
exchanged between
uh services in the wider RDM ecosystem.
So, if any service needs information
from the DMP or can provide information
to the DMP, they should do it in the
standardized way. If you look at the
diagram I have on the right-hand side,
this is an anatomy of a typical DMP
tool. So, it can generate documents, it
has some integrations with uh specific
tools like I know ORCID or re3data or
Fairsharing. Of course, it has a user
interface, and it has its own internal
data model. It has its own way of
storing all this information. And what
we're doing in our project TRAILS, we're
saying, "Okay, map your internal model
to something we agreed as a community,
the so-called common data model, and
expose it over API so that there are
basic info basic operations that anyone
can perform like search for DMPs, get a
DMP, update a DMP, but not a static PDF
document. We don't want this. We want
machine actionable and data management
plans. And by doing this this way, we
also want to prevent the vendor lock-in.
So, we don't want to say you must use
only this specific tool. You can use any
tool for data management planning in
your node and if they stick to the DMP
IF, they should be able to
uh exchange information or you are able
to basically replace these tools or
provide to at the same time. It really
depends on you, but the integration and
the cost should be
lower if you use this DMP IF to
integrate it with other services. Uh the
DMP IF and everything I'm describing
here is not really meant for the
researchers. Researchers should not know
about its existence. This is for the
service operator software engineers.
This is to make their life easier and
their life to
uh help them automate tasks and if they
automate the tasks, in the long term,
researchers also have less work to do.
And to become compliant with the DMP IF,
you don't have to do everything at once.
You can do this step-by-step and this
will become clear when I show you my
next slides.
Um so, first of all, what we have is the
common standard. It's a RDA
recommendation. It specifies what is the
common model. How does an MA DMP look
like?
Then, in OS Trails, we have also
proposed extension of this RDA common
model with some extra fields to better
cover for what is specifically
specifically asked in Europe. For the
RDA work, we had to focus on the let's
say world setting, find the minimum
common denominator.
For European context, EOS context, we
were basically allowed to add some more
things which is specific to what is
asked here.
And then, as mentioned already before,
we put it behind an API which is again
maintained by the RD working group, and
also tools that are not part of our
project are
implementing or have already implemented
the the API.
Uh
and besides that, we provide also some
supporting resources that may be useful
for you. We call these resources
commons.
And there are some MADMP mappings to
traditional templates. We provide also
some evaluation metrics on the quality
of DMPs and tests and so on, but you
will hear about it also later on.
The next interoperability framework we
have is the SKGIF, and this one is used
for
connecting different
knowledge graphs. So, like you can see
here on the right-hand side, you have
all these potential knowledge graphs,
and they want to exchange information
with each other. You can also use it to
to connect other systems which you
didn't consider before knowledge graph,
but actually are able to provide
information in a structured
way.
It is also developed under the umbrella
of research data alliance, and basically
it's based on the group on the scholarly
communication knowledge graphs. And OS
trace is adding this scientific
perspective, bringing some extensions,
bringing some specific needs.
You will see it in this slide. So,
basically what the group is doing has
this layered set of open specifications.
So, they have a
data model which define entities that
are used by knowledge graphs. They have
some shackle constraints for for
validation, and they define JSON LD
context. And they also provide an API
just like I was showing for
the DMPs. They have a set of operations
you can perform using this data model.
They are open for extensions, they have
a way to request openly extensions in
case you want to have more information
about, I don't know, instruments used to
measure something. This is exactly this
shift from
the scholarly graphs where you mostly
deal with the products and people and
projects to being able to represent
domain specific
needs and this is a direct requirement
from our
thematic pilots that they also want to
be exchanged and and model information
that are relevant in their domains.
>> Sorry, Thomas, to
to push you, but
could you please finish in 2 minutes?
>> Yes, I can.
>> Okay.
>> That was the plan.
Uh so, now I have the FAIRiF
and for the FAIRiF, so
FAIR assessment
interoperability framework,
the starting point for the project was
that we have uh
as Mark has counted more than 30 tools
that are doing FAIR assessment.
Actually, they claim they do FAIR
assessment, but they provide
inconsistent results. So, in the slide
you can see the same test being tested
with two different tools. One says 20
out of 22 tests pass, the other one two
out of 24. And the moment you start
publishing results like these and start
comparing things to each other, this is
a total noise. You don't know what
you're comparing with with what. And the
goal we have for the FAIRiF is to
basically standardize and harmonize what
FAIR assessment actually means. We want
to add transparency to this and we want
to make it clear that if you have a FAIR
assessment tool, you can use it and have
it, but please communicate your result
in a standardized way. For this reason,
a big part of the framework is the FAIR
reference model, which provides this
conceptual grounding of what is a
metric, what is a test, what is a test
result, and how does it connect. So, to
keep it short, the left-hand side of
this diagram basically focuses on
collecting objective evidence.
Something has a CC by license. Something
has an identifier. The right-hand side
expresses the opinion of the community.
It is good to have this kind of license
in our community. It is a must to have
this DOI or this kind of identifier in
our community. More can be
answered in the in the question, but
this is the sentiment. So, we are not
about producing scores. We are about
providing information. And our work is
not only conceptual. We have a catalog
of
benchmarks, catalog of metrics. You can
go to FAIRassist and browse for what we
have defined for communities. We have
also implementations in the tools. I
don't have a chance to show it today to
you, but we can find everything in our
documentation. So, I think this will be
main takeaway for you. If you go to this
docs.os-trails.eu,
this is where we collect information on
the things we have developed, and we
provide pointers to the commons, so the
pieces of software specification that
you can reuse in your context to
basically implement the interoperability
frameworks.
Of course, we are also on GitHub, and we
have our deliverables, which we try to
keep somehow easy to read. I know it's
not an easy mission, but doable.
That's all from my side. So, thank you
very much, and looking forward to any
questions.
>> Okay. Thank you, Tomasz. We will
postpone the questioning to the Q&A slot
at the end of this webinar. And we will
now move
to uh the five presentations from OS
Trails pilots. The first three are uh
from representatives of national nodes
that are
uh organizations responsible for
national nodes
um
that are a partner in the OS Trails
project, and that's uh have conducted
pilots with the tools and services
available. The first on our list was
Johanna. Johanna, I see you're nodding
so
I suppose you're ready for your
presentation.
>> Yes, I'm ready and I hope the sharing of
the presentation comes through okay.
>> Yes, fine.
>> Okay, so I'm development manager at the
CSC. It's IT center for science in
Finland. We are providing national
services
for the research, education and and also
cultural heritage and we have been
privileged to um
>> [snorts]
>> uh to um
share with you now the the practices
from our national pilot in OS Trails.
Just a minute and I'll see if I can move
my screen. Yes, great. So the overview
of our national pilot is that we have
one single goal uh as a a key
performance indicator and this is to
develop an uh uh metadata model and uh
reference data model for machine
actionable DMPs in the OS Trail project.
Uh single reference data model that
would be uh scalable enough for all
purposes and would be found useful at
least by 60 organizations. So uh
agnostic from the scientific disciplines
but also of the DMP tools uh utilized.
And we have been basing our
our work so that we are utilizing
everything that we have I've been able
to utilize from the RDA a standard and
also from the OS Trail OS Trail IF
interoperability framework. So that we
are not developing anything nationally
that we don't then uh scale up to the EU
or international level. But that we are
taking into account the national needs
as well.
And uh there is a link in EUDAT Wiki for
the the metadata application profile,
the the detailed version of it. I'm not
going to present it here, but you are
more than welcome to have a look on that
and on my last slide, there is as well a
feedback
feedback link for that.
Um
we have been considering that everything
all the information that is marked
mandatory in the RDA standard is
mandatory as well in our national model,
but then we may have some other
mandatory fields as well. But then we
have been looking really carefully from
different points of view, what do we
actually need in the data model? And the
emphasis is really on the data set
itself and on the nested structure of
data sets.
And also on the data life cycle
management looking from the beginning
from the discovery
discovery of the data then to the final
final archiving or deletion of the data.
How all this um
the whole chain is managed and then data
protection has really high importance in
Finland and promoting the machine
readability. We have been as well
discussing that
the concept could be machine
understandability,
how the machines are understanding and
able to utilize the information.
And then we have as well included
ideas how the
DMP could be extended so that a complex
research consortia that has multiple
organizations from different countries
with different practices could utilize
the same model and that we could use
different digital objects as well and
and structures. And the software
management plan we think is as important
almost than the data sets
um um details. So we have added a
optional section for this and it has
some
brief information. This could be more
detailed, but we have thought that this
is a beginning and it is really good to
align these practices.
And we have had like how we have been
able to accomplish
this in large corporations. So, we have
we haven't only done this within the CSC
with the experts of CSC, but we have had
um
teams of experts from different
organizations, at least from 20. And we
have had a lot of open workshops for our
national partners and stakeholders, our
clients, customers.
And with them we have then developed the
the data model. It has been really
detailed cooperation, but it has been as
well really useful. So, we are now
having the the model reference data
model, but the um national organizations
feel that they have ownership as well
into and there are already
implementations
of this in practice.
And like I said, it's tool agnostic, but
we are as well currently then reviewing
how the tools can utilize this.
And the the whole threat line red line
here is to support open science and also
look into the integrations with the fair
implementation profiles fits. So, the
idea is that the the data management
planning or the data management process
would be in the center of the research
ecosystem. We would have open API
interfaces with some control for
um
information that is not yet open or that
should be sealed. We are looking how the
different stakeholders, whether they are
organizations, uh people, uh data sets,
software, publications, funders, how
they could be utilizing the PIDs, um the
uh permanent identifiers,
and how different actions could be
triggered, like reporting when when
there is a certain deadline or the the
data management plan has been uh
indicated that it's now ready for
submission or it has been um checked by
the data support. And so, we have
extended it as well, um and um our
approach so that we are thinking that
the API interfaces students only relates
to the national infrastructure, but also
to the EOSC nodes that are currently
being uh built as well, the thematic
nodes, so that's all the all the nodes
utilizing the same service catalogs
could um
communicate about their services, and
then the researchers are finding through
the APIs as well um all those services
that would be um
accessible for them, and also that they
would be able to utilize.
And also
>> Johanna, sorry to interrupt. This is in
a very impressive overview. Could you
finalize in 2 minutes?
>> Yes. So, this is just a link uh or kind
of indication how we are connecting with
the RDA standard. We have added some
elements, and we have as well um
aggregated uh some things together, like
everything that relates to the persons
um that are not contacts, but other in
other roles, they are in agents um
section in the DMP. And um
we have added the software development
plans here, and then the life cycle, so
that's the only difference. And this is
just um slide indicating uh what is the
added value of utilizing the digital
objects. So, there are many digital
objects to be utilized, and immense
amount of information, but we can
extract
through them if we are
having the custom that the researcher
researcher are able to utilize them. And
in addition to this complex table, we
have as well made a relational model
that helps
tool users then to see what are the
links and
the different connections between the
sections.
And
I'm statistician by training, so there
are some figures as well. What are the
required mandatory fields? What are then
the optional fields?
And if they would be seen as final, then
what's the amount of information in
them? And how much information we could
automatically fill with the digital
objects?
We see that there are many different
ways of utilizing the data management
plans. One the single approach is that
if the funder is requiring, then then
make them. But also
following the national guidance,
one could implement them more widely as
a practice, and the organizations could
have better understanding of what
processes, what research projects, what
responsibilities there are if they would
require the DMPs of all the research
projects,
also those that are internally funded.
And for all research projects, the
management becomes much more easier, and
the the use of time is more efficient if
the DMPs are used. So there is as well
this internal motivation to start using
them, so that it wouldn't only be those
that are externally funded and when the
funder is requiring them.
We have been asking
experiences and approaches to this um
MA DMP P data model and the the use it
of that and here are some um
use cases that our stakeholders have
identified as possible use and then
there is this quote that the the by one
of our stakeholder that actually the
possibilities are endless if only the
system can be made to talk with each
other and with that I'm ending the the
presentation and I hope if you have any
questions that you can
find it easy to reach me and also if you
would like to have a look at our
machine actionable data model so please
send us some feedback. Thank you.
>> Thank you Johanna and
I'm very grateful for underlining
the very different types of requirements
that
that exist in the landscape. So national
funders may have very different requests
compared to organizations and and
project teams etc. I think it's good to
keep that in mind for those who are
considering to become a national node
that all these diversity should
can be accommodated by
by the services. Okay,
we move on now to Raul Palma from
the Polish pilot.
Are you ready Raul?
You are muted.
You're still muted.
>> Sorry.
Okay,
so let me just put my screen.
Trying to find the button here to share
my screen. Okay.
Okay.
Share my screen. I cannot find the
button to share my screen. Sorry.
Is it is not enable?
Uh
>> Um it's enabled. You can see down on
your screen.
>> Okay.
>> you have the toolbar. It's the middle
button.
>> Okay.
>> Perfect.
>> All right. Can you see my screen now,
right?
>> Yes.
>> Full mode. Okay.
So, I will go quickly through the Polish
national pilot. This is the pilot 704
trails.
Um well, basically here the goal was to
support the creation and maintenance of
machine actionable DMPs in Poland. Uh
this of course included defining
requirements for this DMPs and enable
them to be linked to data sets, research
outputs, and other entities through PIDs
and the use of RO-Crates.
The idea here is to support FAIR
assessment of DMP-related resources and
improving interoperability with the
national DMP platforms and
uh repositories.
So, the context here is we have already
a platform which is uh called Aro hub,
which is the Aro crate platform that has
connections to different tools
uh including DMP for the uh
uh
um um
Argos for the DMPs, uh Fair OS for the
FAIR assessment, and OpenAIRE as the
source to uh SKGs.
Um as part of FOSTER trail, these
connections are being of course uh
improved, uh enhanced.
Uh for example, in with respect to the
use of the DMPIF in order to import uh
um this uh DMPs and generate RO-Crates
from Argos, but also this can be as well
done
uh through other tools implementing this
IF. Uh similarly with FAIR IF, uh the
current implementation is based on a
very specific uh API, and the use of a
standard API will allow us to uh also
connect to other solutions. And
similarly with SKGIF, in the in the
current setting, Aro hub exposes all the
research objects or auto crates
uh through
uh to OpenAire SKG using the OAI-PMH,
but uh with the use of the SKGIF, we
will use the same standard just to
provide this information to the
OpenAire, but also we can uh also
consume data from uh OpenAire and other
knowledge graphs in the same way. Uh of
course, we have also national
repositories like RepOD uh
and others that mean that are general
purpose, but also discipline specific uh
that have already the possibility to do
the publication of research data assets
with uh PIDs, but as part of OS Prace OS
Trails, this metadata will include
connections to crates and DMPs in the
external repositories.
Of course, our challenges are how to
make sure that
IFs will be uh enabled at least to
maintain it or improve the current
integrations, the times uh taken by
providers to implement those IFs,
and obviously in terms of agreements of
DMP templates.
Um
In in relation to the connection to to
EOSC nodes, uh obviously our main
connection is with the Polish node, uh
which is coordinated by NCN. NCN has
been involved in the process of defining
the the DMP requirement. I mean, they
are the source of the DMP requirement,
but they have been involved with us in
in in creating the templates. Um also,
we have discussion with OP national
platform to allow researchers to easily
complete their DMPs, and our services
are being on-boarded uh in the Polish
node that includes RROHAH, FERRORS, but
also Dam-Up, which is not exactly in in
the pilot, but it's related, of course,
as another DMP tool.
Um the added value of the IFs is
basically that will allow the
interoperability with different
solutions. In our case, we are really
reusing the three pillars of OS Trails,
as you can see, DMPs, FAIR assessment,
and SKG, allowing, for example, our uh
pilot not only to become provider but
also consumer for the different types of
existing knowledge graphs.
So, just to give you a high-level
overview of what our implementation.
So, the first use case is about the
machine actionable templates. We have
defined based on the NCM requirements a
set of mappings with semantic mappings
and implemented these templates into the
Argos platforms at the moment.
This is already integrated also with the
RO-Crate that allows the creation from
the DMP to an RO-Crate and then later on
to export this in a way that can be
easily consumed by the OP national
platform. In terms of the fair
assessment,
in terms sorry, of the national
platforms, this is repo on the left-hand
side and what we are extending is the
metadata to include connections to the
DMP, to the RO-Crates that are related
to to this particular asset.
And regarding the SKG, RO-Crate already
is
implemented the whole SKG implement IF
specification and we also support
content negotiation to allow, for
example, the retrieval of an RO-Crate in
a way that is compliant with the SKG IF.
And finally, with respect to the fair
assessment, this is
what we have. Of course, this is already
integrated into RO-Crate, but also we
are migrating this into a
better display and information provision
based on the fair IF that is being
implemented by the Fero's tool. These
two tools, I mean, Fero's and RO-Crate,
like I said, they're becoming part of
the
of the EOSC node.
So, thank you very much. That was from
my side.
>> Thank you, Raul. And also, thank you for
sticking to the time limit.
Um
questions related to this presentation
as related to the previous one can be
postponed until the Q&A slot. I would
also like to mention that there is a
slider for the group of people in this
um
in this event to indicate
um
>> [clears throat]
>> um the
some more details about their background
so that we can share that later on. Um
the next presenter is now Elin
Wagemaakers, who will present the the
pilot for the Dutch node.
>> Oh, I have some issues with sharing my
screen, it seems like, because I haven't
enabled it yet.
But wait.
Um
Should I
quit Zoom and reopen?
>> If the problem can't be solved, then
maybe somebody else who has already
uh
presentation rights
can select your presentation and and uh
>> Try again. It seems like it's working
now.
>> Elin, uh everyone Yes, everyone has
access. Thank you. You We can see your
screen now.
>> Yeah. You can see the full slides now as
well?
>> Yes, the full slides.
>> Okay, perfect. All right. Uh thanks. Um
so, my name is Elin Wagemaakers. I am
program manager of Open Research
Information at SURF.
And uh together with Andrew Hoffman from
Leiden University, uh I am coordinator
of the um
OS Trails Dutch national pilot.
And
uh on the slides, you can see our use
cases.
Um
uh so, we're doing this together with uh
four consortium partners partners. Uh,
that's NWO, the National Thunder, uh the
Vrije Universiteit uh Amsterdam, TU
Delft, and uh the Digital Competence
Center for Applied Sciences.
And uh
we basically have four um
areas of work or use cases, uh how you
want to call them.
Uh, ranging more from institutional
compliance and the needs uh there uh
when it comes to um
data management, uh research data
management.
Uh, and uh the open science uh
workflows. Um, so the first one is uh
integrated workflows. So one of the
things that we have uh seen in the
Netherlands is that uh many institutions
are trying to combine um data
management, privacy, and ethics um
compliance uh in one integrated
workflow. And what we're doing in our
tools is exploring how uh MaDMP tooling
can help to combine um those or to
integrate those workflows.
Uh, so that's from the administration
part.
Uh, then we're looking into how we can
expose those DMPs in various ways,
either uh in local repositories, um
the CRIS uh systems, uh but also in
public repositories, uh for example, uh
such as Zenodo.
And then also looking into what exactly
should be exposed, what uh what type of
information.
Uh, then moving more towards the open
science open science workflows is how we
can uh track uh
related entities uh in a research
project uh through uh MaDMP tooling uh
combined with RAID. Uh, RAID is a
relatively new um
persistent identifier for research
activities or uh projects which
basically combines
a set of other persistent identifiers
and bundles them in one
yeah overarching envelope.
So we're looking into identifying these
DMPs.
And
finally we're looking into the
implementation of
fair implementation profiles beyond the
tool data stewardship wizard which
already enables
FIPs.
So what we're doing there is basically
developing conceptual model of FIPs and
how we can import certain community
specific
profiles of
fair enabling resources
into
a DMP template.
So what you see here is that we're
exploring how DMPs can be useful at
various levels
at the institutional level but also more
towards open research information and
open science
needs.
Then I move to the
the evolution of the Dutch
note in the EOSC Federation. So SURF is
the mandated organization for
for the Netherlands in EOSC and hosts
and develops the national note.
And what we what you see here is a
a profile of the HORC. It's
global open research commons. This is a
model that was developed in RDA
where basically you have
three more hard elements. That's the
elements in blue and five
white elements that are more
human or social elements of
governing
research infrastructure and research
data. And in the middle you have the
standards.
And what we're doing in the Dutch
node for EOSC is looking at the the blue
elements, the hard elements, the compute
storage,
the research objects,
and the services and tools. So examples
are for example our compute environment
research cloud, research drive for
storage,
but also research objects
such as data and the metadata that comes
with it.
But next to these
to the generic infrastructure you have
there's an important role for the
thematic
um
communities in the Netherlands. So we
have what we call thematic digital
competence centers for natural
engineering sciences, social sciences
and humanities, and life sciences and
health.
And
they basically provide the engagement
and human capacity with their specific
needs and research objects that are
relevant for
that specific domain.
So the way that the node is set up is
that it basically combines these generic
services and tools with the
the needs from the the domain specific
domains. And
so
this model should help
to align data
and also high performance compute across
Europe and should strengthen the
interoperability
and data reuse among those different uh
domains, but also uh across those
domains.
>> And you manage in 1 minute to finish?
>> Yes, sure. Uh so, the last slide is
about uh how we do this and and what the
added value is of the interoperability
frameworks. So, the way we approach this
is by um
looking at uh workflows. Uh so, the
workflow that you see here is uh a
researcher uh trying to request uh or
find data, request data, um
uh can access that data and then um in
in uh process it in a secure environment
and finally transfer it and publish it.
And the way uh that is done is um
uh through federating access uh to
various data sources, um
making sure that you have access to a
secure a secure compute environment, and
uh
in the end then uh publish it in a um
designated repository.
Um so, you see the federated access at
the common building blocks. And what you
could track in your DMP um
through the DM uh the interoperability
framework is what um services were used
in this specific workflow uh throughout
to make sure that you have a
reproducible workflow. And the SKGIF is
obviously uh important to uh enable the
um the discoverability of those uh data
sources and um and also in the end make
uh the end result uh again discoverable.
So, uh in short, the the SKGIF here will
help uh discoverability, um which is a
crucial component for the federation,
and uh the DMPIF will enable uh
reproducible workflows.
>> Thanks a lot, Eline.
Um
We can then now switch to the two
presentations from the thematic pilots.
And the first one is uh will be
presented uh by Renault Dweem, uh who is
from uh the PaNOSC cluster.
Are you ready for your presentation,
Renault?
We see you coming. Thank you.
>> Yes.
Okay.
Yeah.
Can you see my screen?
>> All fine.
>> Okay, good.
Um so, I'm working at the European
Synchrotron Radiation Science Facility.
So, we are part of the Photon and
Neutron Open Science uh Cloud, the
PaNOSC node. So, we are we are a big
facility doing experiments, so a big
microscope. So, we we are manipulating
uh various elements from project uh to
instruments, data set, and publication.
Um
So, I'm going to present how we use the
the various uh interoperability
frameworks of West Trails.
Um so, we have uh instruments in our
facility. Though, they are represented
by um by PIDs. So, DOIs. So, we are
working on it at the moment, so
generating PIDs for for instruments.
So, we use these instruments to analyze
uh any type of data we could we can put
in our instruments.
So, for example, here we have an example
of uh
of a data set. It's a dinosaur. So, we
we we are able to to to create slices
and uh so, basically, we have data sets
for these uh DOIs and data sets for this
information. So, 3D representation.
Um then, these data sets are reused in a
publications. So, this is an example of
in nature, so with a DOI.
Um,
so then following on the PIDs, what we
did we did we also defined
we have PIDs for our techniques. So,
basically how we study this uh
uh all the techniques we used in our
instruments to to visualize and create
and use x-rays.
So, these are defined we have an
ontology declared in in fair sharing.
And finally, we also declare the actual
data portal where we store the our all
our data sets in
in fair sharing. So, we have a unique ID
for our data portal.
Uh
so, now I'm going to present how we use
it how we use this in a DMP.
Um,
so when you start a DMP,
you may give information about what you
are using. So, typically the
vocabularies and standard and the the
repository you you plan to use for your
for your research.
So, we use
the DSW the DSW tool. So, we are able to
link the IDs I presented before to this
DMP. So, typically the vocabulary we
have and the repository.
Um, then you can answer all the kind of
questions
that are not directly related to PIDs.
So, it's a standard DMP uh this is a
standard DMP uh screenshot.
Um,
so let's say you perform your experiment
at ESRF and then you have data sets. So,
what you can do with DSW it's to link
your data set to your DMP.
Um so there are ways to have a auto
complete
auto complete form fields that are
related to that are linked to our data
catalog.
Um you can also link the publication. So
for this we we use the open air graph
and this
and the SKGIF API. So also there's the
button which provides a way to integrate
these external
uh
data sources
uh to the DMP.
So here we find the
the publication and link it.
Uh and the
the next step is to assess the DMP.
So as
Thomas presented at the beginning
of the of the meeting,
there is a standard export of the DMP.
So it's the match the machine actionable
DMP.
So this DMP can be sent
to a DMP evaluation tool. So we have
advice and score about our
our DMP.
So we can check um
if we have PIDs and we can define a set
of metrics and test. I don't go in
details, but the idea is that now the
DMPs is related to an evaluation
platform that allows performing test
uh to give feedback to the to the users.
Um
so
technically
uh this is how it looks in in this WSCU.
You you have
a benchmark evaluation
uh defined here and you have evaluation
results.
So if you need information about how you
can set up this in your DMP tool, you
can contact the the DSW team.
I think they're they are in the meeting
as well.
And to help you setting up this
this DMP
evaluation.
Um
What you can also this slide is just
about explaining that
with the DMP you can also link
data you you use for your research.
With the same you could imagine having 2
years after this this study other people
reusing the data and citing the data in
the DMP.
So, for us we
for the SRF we we want to um
to make sure our data is used and reused
by by many researchers. So,
in integrating the the data set
references in the in the DMPs is very
important for us.
Um
So, uh another element we
we are doing as part of the the SRF
project
is to enhance the the metadata we have
in our data sets.
So,
our data sets have DOIs and are pushed
to to DataCite. It's quite standard.
Uh so so what we did as part of the
project is to to enhance the the
metadata we have in in DataCite. So,
ORCID, affiliation,
grants IDs, funding IDs.
We also integrated
our vocabulary metadata. It's what I
what I showed before. So, the techniques
we use.
And we are working at the moment to add
the instrument PIDs to these data sets
so they could be integrated in DMPs and
added to the global graph.
Um
in our catalog
>> uh what is interesting for us is to show
how data set
is cited by publication.
So, there are many ways to get this. So,
we can use the SKGIF API to connect to
OpenAire to have citation information
about our data sets.
And we have also an an internal
SKG curated by our library. So, we can
get additional information. So, all this
information about publication citing our
data sets
is now visible in in our data portal.
Uh last element
in 30 seconds,
um
what we have what is provided by OS
Trails is a global framework to uh
assess DMPs, but also assess the
metadata of the data sets we have in our
data catalog.
So, we define the bench and benchmark
especially for our data sets. So, it's
defined in fair sharing.
Uh we define a set of metrics
uh
to uh assess the metadata. So, for
example, we check if the data set is
cited in a publication, if the data set
has a license, has funding information,
uh is open access, extra. All the uh So,
we we want to make sure
all the metadata in our data sets is uh
complete.
So, we define all the metrics
>> minute now? Um
>> Yes, last slide. Uh just to show how it
works. Uh we define the benchmark and
have the result here.
So, if you have any question again,
please get in touch and I can explain.
And that's it. Yeah, thanks a lot.
>> Thanks a lot, Renault. Uh good to see
that you managed to cover um the all
three interoperability frameworks
in the work uh conducted this far. I
think still something similar is true
for the next presenter, Menzo
Windhouwer.
Uh Menzo uh
will represent the work done in the
Shock Cluster.
>> Can you see my screen?
>> Yes.
>> Okay.
>> So
I'm telling this from the perspective of
the CLARIN part of Shock.
So CLARIN is the European research
infrastructure that gives access to the
language resources.
And it does that both for anybody in the
social scientist or humanities domain or
who is interested in language resources
in general.
And well, we are one of the OSTRICH
pilot. We're one of the thematic pilots.
Let's listen. Yeah.
So what are we doing? Big part of the
focus is on the SKG part. So on the
scientific knowledge graph.
So in CLARIN there is the virtual
language observatory, which is like our
central catalog for all
the the the the data sets that are
provided by the
the the centers that are in the CLARIN
network.
And we provide access to that to all
these data sets via using the SKG IF
API.
To to expose that we are
mapping all the
the internal format that is used for
records, which is the component metadata
infrastructure format
that the CLARIN centers provide to the
to this
VLO and the VLO extracts from that
facets like what is the language of this
data set, what are who are the creators,
who is providing this, what is the name,
and so on, very basic facets.
And all these facets we map into the SKG
and we expect we
expose that for via the API.
Um
our thematic pilot is one that needed an
extension of the
of the SKG core model like Thomas
explained.
So, we needed we also have metadata
records that are about services.
So, that is not yet covered by the SKG
core model.
So, we also expose the services records
via the service extension.
Um the SKG is based on RDF in the end.
So, what we do, we did already have a
pilot from the past where we
translated SIM D records into RDF. So,
basically we revived that infrastructure
and we
we expose all other records as as SKG
compliant RDF metadata into a triple
store.
And then we have provided the built the
API on top of this triple store.
So, it's a bit of a different approach
some other pilots for example wrap their
existing API and add an extra layer that
then exposes the SKGIF API.
So, we'll do it a bit different there.
Um
What in the end we want is also to try
out cross SKG interaction. So, if if in
the VLO
okay, you're into certain data set, and
we know who has created that data set,
can you inspect if that creator also has
a data set
in one of our neighboring
uh
uh SKGs? So, for example, CESSDA.
So, could you then jump to the CESSDA
central catalog and find
the the data sets or the research
products that
exist for that same user or organization
in the other SKG.
Now, next to the X SKG, we also provide
a DMP template, which is mainly based on
the the header requirements that
metadata and data sets have to be in
CLARIN,
and also
based on components that exist in the
infrastructure.
We also implement an FAIR IF benchmark,
where we mix and match um
generic tests that are applied by
provided by AuScope himself, and
community-specific tests, where, for
example, CMDI-specific knowledge is
needed. And we use that by this cool
tool called PyFED that can implement
these
uh community-specific tests, and we base
it on earlier work where we also created
a FAIR implementation profile.
Okay. So, CLARIN will exist as a node in
the EOSC federation, at least, eh?
So, CLARIN is a federation of data
repositories,
and it will be
eh it will will
CLARIN as the infrastructure will
provide access to these data
repositories and all these linguistic
data they have
via the federation,
but it will do that in the context of of
the shock. So, in this SSH open cluster
and in this um
this EOSC mesh project that will start
in September, this will be actually be
fleshed out more and more.
So, CLARIN is there together with Dariah
as part of the the shock
node that will be in this
um project.
So, what is the added values of the
interoperability frameworks?
So, the SKGIF
gives us a common access protocol, so an
API for
uh
getting access to the harvested metadata
and to all the data sets that are in the
central catalogs.
And it would not be a proprietary API,
but is an API that is common to
all the other research infrastructures
and all the other nodes in the
federation.
FairIF will allow us to tell how well
the data sets follow uh the fairness as
defined by the community.
And if there are still things lacking
there, guidance will help you to improve
that. So, that will also be information
for the CLARIN centers itself.
The DMP um uh the template that we
provide will help projects that that
operate within EOSC and will want to be
compliant with CLARIN requirements
to to create their their data sets, to
create their data in their projects
following CLARIN requirements so they
can easily
moved into uh CLARIN centers and in
their repositories.
Okay, that was my uh my part of the
presentation. That's
>> Thanks a lot Manzo.
Yeah, you can stop sharing. Um
we will now move into the Q&A
uh
slot of this webinar.
Uh and we would like to invite you to
and especially
um people that are not yet active in OS
Trails
uh not active in OS Trails but are
working towards uh
their node charter or plans for becoming
a node um to raise any questions either
to the presenters or the experts on the
interoperability frameworks
that were announced earlier Paulo and
Mark and Marek.
You can use the um
uh
the um
>> [clears throat]
>> the chat box for entering your questions
and we will see how many we can address
right now and then
later on you will receive an invitation
with uh
uh a format indication communication
channel for
uh
mentioning any concerns, observations,
suggestions that can then be the basis
for more tailor-made interactions with
the OS Trails uh experts and and teams.
And while uh people are thinking about
how to phrase their question uh of
course
uh
the people from OS Trails can
bring up some additional comments and
observations that would otherwise
not easily be addressed.
I see
>> Okay.
>> uh
There are some comments but
okay.
>> Um just to refer apologies Francisca for
the interruption. You can unmute
yourself and uh
and use the use the microphone if you
want.
Wait. I Do I have to unmute or to mute
myself?
>> To unmute. It's a
uh it's
uh to all.
>> Okay.
>> Yeah.
>> I see a question arriving.
Um yeah, I think this is a question to
confirm if the interpretation that
EOSC-hub provides services for the EOSC
uh federation or mechanisms that the
EOSC federation services can adopt.
Uh I see many thumbs. This is precisely
um what what is the purpose. Yeah.
>> And and of course beyond. So, these uh
the the the the the needs targeted by
EOSC-hub go well beyond the EOSC. Of
course, we hope that the EOSC will
actually uh single them out as
recommendations at least,
uh but we have I think intercepted the
need from from the whole community in
science, right? So, it's also a little
bit beyond.
>> Yeah, and I think the latter comment
aligns with what Thomas said at the
beginning, namely that um
the plans and the development thus far
are geared towards the EOSC federation
on the one hand, but of course also have
an independent um sustainability plan.
Yeah.
Um
maybe I should ask the representatives
of national nodes.
Okay, yeah. Anca, please. Um the ENVRI
perspective uh is of course also very
interesting and you are uh involved in
OS Trails, but the topic was not covered
in the program, so please go ahead.
>> Yeah, I am involved as I you said that
some the people who are not involved, so
uh but I I wanted to so I
remove the fact that I'm involved in in
OS Trails and I will talk now only about
the uh ENVRIOSC node, which was um
uh accepted in the second wave. Yes?
And uh so we are at the very very
beginning and um
we kind of didn't implement anything
from the uh OS Trails, but I can
actually tell you what we would need.
Uh for example, a very very high
priority is the sign- uh scientific
knowledge graph.
I think it's the most strategically
important component. Why is that?
Because ENVRI is not actually a
repository, it's a it's a federation of
federation.
Federations.
So, similar to the SHOCK cluster. Yeah.
>> Uh yeah, pretty much. So, the value
comes from connected research
infrastructures and services and data
sets and software and publications and
ECVs and EOVs and researchers and
workflows etc. etc. So,
without this kind of graph graph, the
node is essentially a a sort of
directory and and that's it.
Um
also the node would need um
a fair assessment um
tool. This would be, let's say,
medium-high priority. Um
not because the FAIR scores are are
useful necessarily,
um
but um
I'm thinking that EOSC sometimes behaves
as if fairness is the goal
and it's not. F- FAIR is the means.
And you know, researchers do not wake up
thinking, "Well, I hope my data score is
83% fair today." No, they want disco-
discoverability, and interoperability,
and reuse. And this
assessment is useful because it provides
uh evidence.
So, the node The every node should be
able to demonstrate in principle that
inter- uh um
that we are ready interoperability is
it's uh readiness and
and machine read- readability, etc.
Um
Another high priority would be the fact
that every node needs machine actionable
information.
And this is where OS Trails become
becomes relevant. Because the node needs
PIDs and uh uh machine readable metadata
and provenance, etc. etc. So, um
the question is, can machines understand
every resources?
And not do humans have PDF PDFs
describing them?
And now it comes to um
machine actionable DMPs, and I think you
all know what is my relationship with
the with the DMP. So, for for me, this
is a low to medium priority because my
answer would be not really necessarily.
Because
uh this uh machine action actionable DMP
to me is is useful only if it
contributes information that cannot be
obtained elsewhere. But,
um
we have many of the of the DMPs elements
that exist. We have uh that that exist
in like repositories and catalogs and
PID systems, etc. etc. So, that would be
my my answer to this.
>> Okay, interesting, provocative
statement. Uh I think you've made that
point at other places as well and we we
might be able to discuss that later on,
but maybe it's good if um
um people re-
respond to
uh people from the EOSC Association in
this meeting also raise their voice.
Um maybe about models for a stronger
collaboration in
uh in the short term while EOSC Trails
is still a project, but of course the
partners in the project uh are all eager
to
uh strengthen and improve the nature of
the relationship, so
any input would be welcome.
Um
>> I can just maybe tell a word on that.
Onka, you were saying that uh
I I I can just say that DNPs are
contributing
uh giving more uh information to the
global graph. For example, when you when
you fill a DMP, you give information
about the your teams, the authors, the
data set, the publication, the grants.
So, it's a way to uh to improve the data
we have uh in the
in the global
uh
SKG. Typically, you can send information
to to OpenAir to enhance the the graph.
So, it's more information you can
uh you can give to everybody. So, uh
>> Yeah, it's more, but not necessarily
unified or harmonized in all
uh dimensions, and I think that's a an
issue that comes up at other moments in
discussions as well. So, I don't know if
this is the way Onka would phrase it,
but
Okay, I see
>> I was just saying that the that
uh every all the information that you
find in in this machine actionable DNPs,
they already exist in our repositories,
yeah? In our archives. So,
if if the node spends effort collecting
DMPs, but never uses the information
because we already use it somehow, it
creates just bureaucracy.
>> Okay, let let's go back to Thomas who
raises his hand.
>> Yeah, I raised my hand not because of
DMPs. So, I
>> Yeah.
>> I raised my hand and I believe if we we
have all this information, you can then
generate a DMP in case somebody wants it
from you and that's another another use
case, but I'm not about this.
I think for the most of the people who
are representing nodes, the big problem
is connecting the daily problems they
have in setting up a node with this
theory that we are giving them. We are
telling them, "Get this interoperability
framework and that interoperability
framework and what do I do with this?"
And and basically I want to share my
reflection because if I imagine myself
setting
I think the interoperability framework
should be a way for me to tell, "Do I
want to onboard a specific service into
my node or not?" If I'm getting a
service that is not interoperable with
others and end of the day we're building
a federation. So, we have to evade this
vendor lock-in. We have to make sure
that information from one tool is to be
reused in some other tool, then this is
a criteria for me for the selection of
what you're using. And I think one of
the
discussions in the in the EOSC
community and also what we have in our
trails is what happens with these
interoperability frameworks. Where will
they live beyond the project? And I
think they will live in the nodes if
nodes adopt the services that follow
them.
So, I think from a very practical point
of view, if you are a service operator,
you may want to basically include
services that implement the the
interoperability frameworks.
>> Yeah. Yeah.
>> course inter-operability has been
a very important concept in the setup at
least of the
thematic research infrastructures across
Europe. Um
Let me see.
Uh
Okay, I see some conversation with Anca
involved going on. Please have a look.
Um I wanted to
ask
um
uh Ellie, if can you easily upload what
you found what what the Slido
uh survey found out about
the audience of today or would it take
too much and it will be sent it around
later on?
>> No, let me quickly switch.
Oh.
Can you see?
Can you see now?
>> Yes, we can see it. Yes, please.
>> Okay. All right.
>> So, this is
from the So, there there were three
questions from the Slido. One is if
you represent EOSC node
majority no, um
some yes.
And the other two are more interesting
because um
the next asks for which IF is most
relevant to you and your community of
course based on the needs and
requirements.
DMP IF is
on top, right? Uh so,
wins the medal.
And then we have uh
ah now
>> [laughter]
>> But But is it you?
Yeah, because SKJAF and FAIR IF have
been neck and neck since the beginning.
>> Well, you but you can conclude even
though it
this is a ranking
the fact that even the smallest
proportion is is more than
is close to 30%
indicates that the the selection of
topics for our streets
is is relevant.
>> Definitely.
And then the last one is how likely are
you to use the streets I have?
And
very likely. So, if we can also
you know, have
people to unmute and
say their opinion I like how would they
use it or
why is it not that um
likely for them to use the streets I
have that would be great for the
discussion.
>> Okay. Well, we reached the end of the
time slot
and I guess people will start longing
for lunch soon. We still have 44 people.
So, if people
think that the outcome of this survey
could immediately be
commented already in a way that will
enlighten us, please go ahead.
Let me see what the recent
um
Yeah, there's a conversation going on
with people that are
um
in touch anyhow.
I think if there are people that are
still struggling with whether or not to
set up a node whether or not to have
access to um
um service provision that could help
them um
to set up their node etc. I would like
to give them the floor.
Um
>> Uh so, if I may, so set setting up a
node
does not really require the
interoperability frameworks we are
discussing now in this framework.
>> No.
>> But of course it would be
uh
let's say in in the long term it would
be very fruitful. For example, the EOSC
node at the moment is exchanging data
with uh
uh other collections using the SKG
>> AIF.
>> And similarly, I think many nodes will
have the issue of DMPs. And
the DMPs
>> As the survey shows, yeah.
>> As the survey shows. So, I I think
running a service that builds its own
silos and universe is not worth it for
any um
uh for any node. So, having a way to
exchange uh DMPs across us nodes would
be important. And here we've built the
pathways, for example, to connect the
SKG and the DMP. So, as you said before
and uh
Renault highlighted again, I think the
connection between the two is crucial.
And then of course we know how about
validation, right? So, and again
validation is not an easy issue. It's
not an easy
say activity in general. And these
interoperability frameworks, especially
the services behind it also,
uh can simplify the way we share ideas
about what is a fair task, what is a
fair metrics, and also the code behind
it, which is again
>> Yeah.
>> essential. Reusing the same code,
referring to the same indicators will
become more and more important. Within
node, like the AMBRE one from ANCA where
you have different souls that are
coexisting and they need to share ideas,
but also across nodes, okay? So, I think
uh although these frameworks, the EOSC
trails is not strictly connected to the
setup of a node, I think it's a wise way
to uh
um
let's walk on to design a common future.
>> I think
looking thinking back of Johannes
presentation with the statistics that
she ended with. I think that was a very
insightful
exercise
that other national notes
could also
be interested in so
please let us know if you would like to
be in touch with with Johanna and her
colleagues
or if you would like to know more about
how the thematic services
are set up in a federative way even
before the EOSC federation
comes in
in the picture
to see if you can build on that because
with some effort that's what for example
Menzo's
talk showed and in a way also that of um
uh
Renault
um
the
the existing well-functioning
research infrastructures can
uh
enhance their
service quality by looking into
the interoperability frameworks
uh not without changing everything but
connecting things in a way that allows
them to connect to more dots in the
network. Johanna, your hand is raised.
>> Yes, thank you for this. Yes, I can be
contacted. We are really happy to share
our experiences. We are as well planning
to have an
national for the national OS space
pilot.
An MDMP hybrid working day on the 24th
of September. So if you're interested to
join to that so please let me know.
Um I think it's really when building up
a node and planning ahead what to do and
how to do all this everything is to plan
gradual steps and building up on on
these
interoperability frameworks is really
important to start from a common ground.
So then one is not diverted and one
wouldn't create services that wouldn't
be interoperable in the end. So this
requires a lot of compromising as well,
but I think that this is really crucial
in order to make um
services that in the end help the
researchers and also these
cross-organizational
research groups
so that they are able to use
interoperable services smoothly.
>> Thanks for this uh
uh enlightening
uh recommendation
uh
>> [clears throat]
>> I think
most people would know
like to
uh go for lunch and I see already that
the number of participants is
decreasing. So
um
if there's one or two more urgent
comments or observations, please take
the floor.
But otherwise uh
we'll stay we'll contact you again and
if you
would like to take the initiative, you
are always welcome to contact the EOSC
Trails project.
I see no hands raised, so I assume that
we can say goodbye.
Thanks a lot and also thanks for the
supporting team Xenia, Ellie uh
and the colleagues of OpenAIRE and
Halasya from CLARIN.
Uh
see you at the next occasion.