Monthly Meetings

Every fourth Thursday of the month
   UTC 15:00 – 16:00

 

Conference room:

New meeting room:
Join Zoom Meeting
https://kit-lecture.zoom.us/j/64010304690 

Meeting ID: 640 1030 4690

 

 

 

Meetings:

Date	Type of meeting	Title / Speaker	Notes	Slides	Recordings
2023, June 22	Working meeting	Training & learning resources
2023, May 25	Project share	CLARIN: Interoperability approaches and FDO connections Presenter: Dieter Van Uytvanck, Technical Director CLARIN ERIC	Collaborative notes	Slides	Recordings
2023, March 22	P20 Session	IG FAIR Digital Object Fabric: Discussing the FAIR DO Concept	Collaborative notes	Slides
2023, February 26	Working meeting	Training, web site, P20	Collaborative notes
2023, January 26	Project share	Connecting seafloor and planetary surfaces: Approaching via an interoperable metadata description for imaging research data Presenters: Andrea Naß, Mario d'Amore, Timm Schoening	Collaborative notes	Slides	Recordings
2022, November 24	Project share	The meeting has been  cancelled!
2022, September 22	Working meeting	Training on FAIR DOs	Collaborative notes
2022, August 18 UTC 16:00 Exception!!	Project share	FAIR for research software Presenter: Daniel S. Katz, University of Illinois at Urbana-Champaign	Collaborative notes	Slides	Recordings
2022, July 28	Working meeting	Training on FAIR DOs	Training on FAIR DOs
22 June 2022 UTC 05:00 - 06:30	IG session International Data Week	A Fabric for FAIR Digital Objects	Collaborative notes	Slides
2022, May 26	Working meeting	Working meeting	Collaborative notes	Slides	Recordings
2022, April 21 Exception!!	Project share	Canonical Workflows in simulation-based climate sciences and the role of FDOs Presenter: Ivonne Anders, Martin Bergemann, Andrej Fast, Karsten Peters-von Gehlen, Christopher Kadow, Etor E. Lucio-Eceiza, Hannes Thiemann, German Climate Computing Center - DKRZ	Collaborative notes		Recordings
2022, March 24	Project share	Introduction to Cordra Presenter: Robert Tupelo-Schneck and Larry Lannom, Corporation for National Research Initiatives (CNRI)	Collaborative notes	Slides	Recordings
2022, February 24	Working meeting	Agenda P19 Tools	Collaborative notes
2022, January, 27	Project share	A Concept towards a FAIR Photovoltaic System Presenter: Jan Schweikert, Karlsruhe Institute of Technology	Collaborative notes	Slides	Recordings
2021, December		- no meeting -
2021, November 9	Plenary session	FAIR Digital Object Use Cases and Success Stories	Collaborative notes	Slides	Recordings
2021, September 23	Working meeting	Charter FAIR Digital Object Fabric Agenda vP18	Collaborative notes	Slides
2021, August 26	Project share	Using CSTR identifier to share the data Presenter: Xiaolei Xia, CNIC, Chinese Academy of Sciences	Collaborative notes	Slides	mp4
2021, July 22	Project share	InstDB: Making Data FAIR for an Institute Presenter: Xin Chen, Computer Network and Information Center, Chinese Academy of Sciences	Collaborative notes	Slides	mp4
2021, June 24	Project share	Exploring the FAIR Digital Object Framework within Materials Science and Engineering Presenter: Zachary Trautt, NIST	Collaborative notes	Slides	mp4
2021, May 27	Project share	A FAIR Digital Object Ecosystem Testbed Presenters:  Andreas Pfeil, Thomas Jejkal, Karlsruhe Institute of Technology	Collaborative notes	Slides	mp4
2021, April 22	Plenary session	Plenary 17: Digital Objects and Linked Data	Collaborative notes	Slides introduction Rob Slides DOIP Larry Pre-Recording FDOF Luiz	recording
2021, March 25	Working meeting	Plenary 17: Agenda Collecting topics for the next project shares	Collaborative notes
2021, February 25	Project share	RO-Crate: A framework for packaging research products into FAIR Research Objects Presenters:  Carole Goble, The University of Manchester & ELIXIR-UK; Stian Soiland-Reyes, The University of Manchester, The University of Amsterdam & BioExcel	Collaborative notes	Slides	mp4
2021, January 28	Project share	Canonical Workflow Framework for Research (CWFR) Presenter: Peter Wittenburg, Senior Advisor Max Planck Computing and Data Facility, Germany	Collaborative notes	Slides	mp4
2020, November 26, December 24: no meetings
2020, November 12, 5:00 - 6:30 PM UTC | Breakout 7	Plenary Meeting	IG - Data Fabric: FAIR Digital Object Landscape	Collaborative notes		recording
2020, October 22	Project share	FAIR Digital Object and RDA output incorporation in DiSSCo design Presenter: Sharif Islam, Naturalis Biodiversity Center (NL) representing DiSSCo Technical Team	Collaborative notes	Slides	mp4
2020, September 24	Working meeting	Preparation vP16	Collaborative notes
2020, August 27	Project Share	How to use the Data Type Registry?  Presenter: Ulrich Schwardmann	Collaborative notes	Slides Demo slides	mp4
2020, July 23	Working meeting	Plenary 16: Call for sessions; list of technical topics for the next monthly meeting(s); Report of the EOSC Architecture WG's PID task force	Collaborative notes	Slides
2020, June 25	Project Share	FAIR Science Gateways – An RDA Adoption Story Presenter: Rob Quick, rquick@iu.edu, Indiana University	Collaborative notes	Slides SEAgrid	mp4
2020, May 28	Working meeting		Notes	Slides

 

Future topics:

• List of technical topics “System/service architecture implications of FDOF/DOIP implementations“, Report of the EOSC Architecture WG's PID task force
• FAIR DO implementation reports

 

Project Share: 2023, May 25

CLARIN: Interoperability approaches and FDO connections

Presenter: Dieter Van Uytvanck, Technical Director CLARIN ERIC

This presentation will quicky introduce CLARIN's infrastructure for Language Resources and Technology. With a particular focus on interoperability, some of the possible approaches to connect language data and tools to Fair Digital Objects will be suggested.

 

Project Share: 2023, January 26

Connecting seafloor and planetary surfaces: Approaching via an interoperable metadata description for imaging research data

Presenters: Andrea Naß, Mario d'Amore, Timm Schoening
DLR – Berlin, GEOMAR – Kiel, Germany

Imaging the environment is an essential method in spatial science when studying the Earth or any other planet.
Here research data in various scales are available, that means from microscopy to remote sensing, which provides rich information for the different scientific disciplines.
If we like to describe all the spatial research data commonly on the highest level, a core set of five elements are essential in order to describe location, time and space (i.e. x, y, z, time, spatial reference).
These core set could perfectly serves as linkage for inner-, inter- and transdisciplinary research.
In order to exploit the synergies between terrestrial and planetary and science, FAIR Digital Objects seems to be a promising approach to fuse both, the image metadata as well as the content metadata with the imagery itself.
Within the presentation we present the current status and the next steps of the project.

 

 

Project Share: 2022, August 18

FAIR for research software
Presenter: Daniel S. Katz
University of Illinois at Urbana-Champaign 

This talk will discuss the FAIR4RS process, including version 1.0 of the FAIR4RS principles (https://doi.org/10.15497/RDA00068), and ongoing governance of the principles. It will also talk about the differences between software and data, how these differences led to these principles, and will begin a discussion on how software can be treated as a FAIR digital object.

 

Project Share: 2022, April 21

Canonical Workflows in simulation-based climate sciences and the role of FDOs
Presenter: Ivonne Anders, Martin Bergemann, Andrej Fast, Karsten Peters-von Gehlen, Christopher Kadow, Etor E. Lucio-Eceiza, Hannes Thiemann
German Climate Computing Center - DKRZ, Hamburg, Germany 

Some disciplines, especially those that look at the Earth system, work with large to very large amounts of data. Storing this data, but also processing it, places completely new demands on scientific work itself.
 
Let's take the example of climate research and specifically climate modelling. In addition to long-term meteorological measurements in the recent past, results from climate models form the main basis for research and statements on past and possible future global, regional and local climate. Climate models are very complex numerical models that require high-performance computing. However, with the current and future increasing spatial and temporal resolution of the models, the demand for computing resources and storage space is also increasing. Previous working methods and processes no longer hold up and need to be rethought.
Taking the German Climate Computing Centre (DKRZ) as an example, we analysed the users, their goals and working methods. DKRZ provides the climate science community with resources such as high-performance computing (HPC), data storage and specialised services and hosts the World Data Center for Climate (WDCC). In analysing users, we distinguish between two groups: those who need the HPC system to run resource-intensive simulations and then analyse them, and those who reuse, build on and analyse existing data. Each group subdivides into subgroups. We have analysed the workflows for each identified user and found identical parts in an abstracted form and derived Canonical Workflow Modules.

In the process, we critically examined the possible use of FAIR Digital Objects (FDOs) and checked to what extent the derived workflows and workflow modules are actually future-proof.

 

 

Project Share: 2022, March 24

Introduction to Cordra
Presenter: Robert Tupelo-Schneck and Larry Lannom, Corporation for National Research Initiatives (CNRI)  

This talk will introduce and demonstrate the Cordra digital object server, including its DOIP implementation.

 

 

Project Share: 2022, January 27

A Concept towards a FAIR Photovoltaic System
Presenter: Jan Schweikert, Karlsruhe Institute of Technology 

We are working on a concept to make our photovoltaic system a FAIR-DO.
Every entity in the system (e.g. pv module, power inverter, ...) has
static (structural composition, operating voltage, geo position, ...)
and may has dynamic data (measurements). These data should be made FAIR
while been agnostic to the scheme the data is described with. This
allows researchers to use a variety of freely chosen schemes which best
describe different aspects of the system. FDOs serve as bridges linking
these schemes together and also maintaining compatibility with HMC's
FAIR-DO ecosystem.

 

Project Share: 2021, August 26

Using CSTR identifier to share the data
Presenter: Xiaolei Xia, Computer Network and Information Center, Chinese Academy of Sciences 

In the post-epidemic era, scientific data sharing played a more and more important role. To help scientists, CNIC uses the identifier CSTR and the service platform DataPid, identifying science and technology resources, assisting to service for registering and distributing science resources, facilitating the sharing and transmission of those resources.

 

Project Share: 2021, July 22

InstDB: Making Data FAIR for an Institute
Presenter: Xin Chen, Computer Network and Information Center, Chinese Academy of Sciences

Chinese Academy of Sciences has been developing a network of scientific data centers since 2019. There is a general center, 18 disciplinary centers and some institutional centers. And the main resposibility of an institutional center is to archive data and to help researchers manage and publish their data to meet the requirements of both the funders and the publishers.

To achieve this, we've developed an institutional data repository software called InstDB. It consists of two main parts: a collaborative data management tool and a data publishing tool.  Both the two parts provide general interfaces to  interoperate with other institutes and other repositories. This interoperability is based on some common components of CAS data infrastructure, including PID system, metadata registries, and etc. The InstDB is also a part of CAS data infrastructure and will contribute to the operation of the CAS data center network.

 

 

 

Project Share: 2021, June 24

Exploring the FAIR Digital Object Framework within Materials Science and Engineering
Presenter: Zachary Trautt, NIST

With the increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Beginning in 2019, communities have convened to work towards convergence of three complementary visions: (1) Digital Object Architecture, (2) Linked Data and Semantic Web, (3) FAIR Data Principles. This convergence has formed the emerging FAIR Digital Object Framework. This talk will summarize recent efforts to explore how the materials science and engineering community can leverage these developments. These early efforts have emphasized development of Digital Object Types for typical materials synthesis and characterization activities and how those Types can harness common semantic web technologies.
 

 

Project Share: 2021, May 27

A FAIR Digital Object Ecosystem Testbed
Presenters:
Andreas Pfeil, Karlsruhe Institute of Technology
Thomas Jejkal, Karlsruhe Institute of Technology

 

This talk introduces a testbed [1] for creating and managing FAIR Digital Objects. The testbed has been developed in the context of the Helmholtz Metadata Collaboration (HMC) Platform [2], which is a long-term activity with the goal to unify metadata management in the Helmholtz Association [3] of German research centres. To achieve this goal, FAIR Digital Objects have been identified as potential commonality between all research fields of the Helmholtz Association. This assumption has now to be proven by implementing the concept of FAIR DOs for different application cases. The testbed integrates an ecosystem of technical services to demonstrate their interplay and to realize generic FAIR use cases.
It is designed in such a way that it is easy to set up and runs on everyday computers. Currently, the testbed enables PID creation, PID record management and validation using a PIT service implementation following the RDA PID Information Types (PIT) Working Group Recommendations [4], and a Data Type Registry provided by the ePIC consortium and hosted at GWDG in Göttingen [5]. It also features automated indexing of PID records as proof-of-concept and provides an implementation of the Collection API specification, which was published by the corresponding RDA Research Data Collections Working Group [6].
 
[1] https://github.com/kit-data-manager/testbed4inf
[2] https://helmholtz-metadaten.de/en
[3] https://www.helmholtz.de/
[4] https://www.rd-alliance.org/group/pid-information-types-wg/outcomes/pid-...
[5] http://dtr-test.pidconsortium.eu/#urls/intro.html
[6] https://www.rd-alliance.org/groups/research-data-collections-wg.html

 

 

Project Share: 2021, February 25

RO-Crate:  A framework for packaging research products into FAIR Research Objects 
Presenters:
Carole Goble, The University of Manchester & ELIXIR-UK
Stian Soiland-Reyes, The University of Manchester, The University of Amsterdam & BioExcel

RO-Crate is a community effort to establish a lightweight approach to packaging research products (data, scripts, methods and so on) together and with their metadata.
At its heart RO-Crate is a practical way to aggregate files and/or any URI-addressable content, with contextual information to aid decisions about re-use. It uses off the shelf and developer familiar web technologies that make it machine and human readable and search engine friendly. This small step is a springboard to Digital Object exchange, access, preservation and reproducibility.
We will briefly present the motivation and approach of RO-Crate and give examples from cultural heritage and biosciences.
We will also present our preliminary investigations in using RO-Crate as a means of implementing FAIR Digital Objects as defined by the FDOF for the Natural History Digital Specimen Objects in the EU Synthesys+ project for the DISSCo ESFRI of Natural History digital collections.
http://www.researchobject.org/ro-crate/

 

 

Project Share: 2021, January 28

Canonical Workflow Framework for Research (CWFR) 
Presenter: Peter Wittenburg, Senior Advisor Max Planck Computing and Data Facility, Germany

Deep insights into about 75 research infrastructure projects showed that the difference between policy statements (Open Science, FAIR Data) and the practices in the Data Labs is huge. Researchers are hesitating to change practices since they are missing clear directions and tools. One of the conclusions was that there are many recurring workflow fragments across departments and disciplines but that almost no one is using workflow frameworks to optimise their work despite years of development of technological frameworks ranging from early attempts such as BPEL up to recent developments such as Jupyter and Galaxy. With CWFR we want to address the question what is missing to convince researchers to adopt automatic workflows which then could also help to make their work FAIR compliant by using FAIR Digital Objects without being confronted with technicalities.

 

Project Share: 2020, October 22 

Fair Digital Object and RDA output incorporation in DiSSCo's design 
Presenter: Sharif Islam, Naturalis Biodiversity Center (NL) representing DiSSCo Technical Team 

This talk will provide an overview of the architectural design of DiSSCo (Distributed System of Scientific Collections) by focusing on the adoption of FAIR Digital Object as the basis of its planned data infrastructure. The talk will also highlight the incorporation of outputs from several RDA interest and working groups in the design decision and lessons learnt in this process.

 

Project Share: 2020, August 27

How to use the Data Type Registry? 
Presenter: Ulrich Schwardmann, Gesellschaft für Wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)

For FAIRness it is crucial to provide a metadata description of digital objects and in order to overcome the highly inefficient current way of data handling. This description should be understandable also by machines. Data Type Registries (DTRs) are used to define such metadata elements, called data types, and it turned out that for this also a formal framework is necessary that exactly describes dependencies between types. Additional aspects are that these descriptions can be made be available already at the reference level as PID information types and that there is a strong relation between types for digital objects and linked data. For machine actionability it is also crucial to describe in so-called profiles, which data types should be provided for DOs in a certain context. It turns out that such profiles, whereas semantically different, are syntactically very similar to derived data types.

 

Project Share: 2020, June 25

FAIR Science Gateways – An RDA Adoption Story
Presenter: Rob Quick, rquick@iu.edu, Indiana University

Recently the SEAGrid science gateway was integrated with ERPID services. This allowed the virtual research environment to leverage PID, typing, and protocol services which are core to the Digital Object Architecture and FAIR principles. This presentation will demo the integrated SEAGrid portal and discuss the implementation details.
 
Related websites:
https://rpid.seagrid.org
https://rpidproject.github.io/rpid/