News

Conference Announcement:

• Date: March 19th – 20th, 2024

• Location: Deutsche Nationalbibliothek (Frankfurt am Main)

• 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: March 8th, 2024

Social media platforms, like Twitter, are crucial for interdisciplinary research but face challenges in archiving and access. This conference aims to unite German-speaking institutions and researchers to tackle themes such as integrating research and archiving, addressing data challenges without Twitter, preserving social media, and exploring ethical and legal considerations, including the potential for a Social Media Data Registry.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗙𝗲𝗲: €25.00 | Students: €15.00 | Streaming Participation: €5.00

M𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 here.

𝗗𝗮𝘁𝗮𝘀𝗽𝗿𝗶𝗻𝘁: Following the conference, a Datasprint will be held on March 21st – 22nd, 2024, focusing on long-term corpus analysis of German Twitter data.

Are you passionate about shaping the future of digital scholarly resources?
The 𝗭𝗕𝗪 seeks a 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 to join their team 𝗶𝗻 𝗞𝗶𝗲𝗹 𝗼𝗿 𝗛𝗮𝗺𝗯𝘂𝗿𝗴. You will contribute to research in 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 and play a key role in developing innovative solutions for managing scholarly resources.

This job posting has expired.
Application deadline: 𝗙𝗲𝗯𝗿𝘂𝗮𝗿𝘆 𝟮𝟵𝘁𝗵, 𝟮𝟬𝟮𝟰

GESIS presents a diverse array of talks originating from the department “Knowledge Technologies for the Social Sciences.” These sessions delve into the development of research data infrastructures and technologies tailored for the social science community, with a primary focus on leveraging artificial intelligence to enhance accessibility to research data and information.

The exploration commences by delving into the information-seeking behavior and data requirements of social scientists. This foundational understanding serves as the bedrock for crafting suitable search infrastructures and knowledge graphs, ensuring that social science data and information become easily discoverable, accessible, and reusable. Progressing from this groundwork, we illuminate the opportunities and challenges arising from the integration of technological advancements in the social sciences, including the utilization of large language models and innovative data sources gleaned from the vast expanse of the Web

The conclusion of the series features an insightful presentation on the automatic extraction of scientific information from scholarly texts. This groundbreaking process contributes significantly to refining search mechanisms and enhancing comprehension of research information and their interdependencies.

Set up & registration: Each session consists of a talk and a moderated Q&A part. All talks will take place online as zoom-meetings on Thursdays, 1 pm-2 pm (CET/CEST). Please register for the session(s) you are interested in below. Your registration will be confirmed by email.

For more information click here.

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15.02.2024 (THU), 13:00-14:00 (CET): Five Ways to Turn your Dataset into Click Bait

Slides |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Finding suitable datasets is a difficult task. But why? In this talk, we will look at national and international efforts to increase findability, why they are important and what everyone can do to make their data better findable. This will include concrete advice to game the system and increase your data citation count.

Presenters:

Dr. Brigitte Mathiak

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14.03. 2024 (THU), 13:00-14:00 (CET): Searching the Social Sciences with GESIS Search

Registration (via Zoom)   |

Slides |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

In the social sciences, research data and related information are often distributed on websites, search portals, data archives, and databases. In this talk, we present GESIS Search, which provides a central search entry point to the information space of empirical social science. Users can find national and international research data sets, publications, survey variables, questions from questionnaires, survey instruments, and tools. We will talk about how research information can be found in different categories, how information is linked and can be browsed, and what the future will bring for GESIS Search. This talk addresses researchers and interested parties looking for data and interested in specialized search environments.

Presenters:

Dr. Daniel Hienert

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11.04.2024 (THU), 13:00-14:00 (CET): How knowledge graphs can help you to share research data and information

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Sharing research data and information has become a crucial demand for reusability, reproducibility, and visibility. The FAIR principles give recommendations on how to improve findability, accessibility, interoperability, and reusability. In this talk, we will present the basic concept of Knowledge Graphs and will show how they can support the sharing of research data and information in a FAIR way.

Presenters:

Dr. Benjamin Zapilko

Debanjali Biswas

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16.05.2024 (THU), 13:00-14:00 (CET): Opportunities and challanges of Large Language Models for the social sciences

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Abstract will be available soon!

Presenters:

Dr. Dimitar Dimitrov

Dr. Hajira Jabeen

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13.06.2024 (THU), 13:00-14:00 (CET): Preserving and Analysing Large-Scale Twitter Data

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Preserving data from social media is crucial for many scientific disciplines. Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods. To reduce the reliance on commercial gatekeepers, we decided in 2013 to create a large-scale longitudinal archive of tweets from X (then Twitter) for research purposes. We collected data from the then freely available random sample of 1% of all tweets from Twitter’s streaming API. In this talk, we will introduce TweetsKB – a knowledge base of tweets that has been enriched with named entities and sentiments. We also show how TweetsKB can be used to create topic specific sub-corpora, focusing on important societal events such as the COVID-19 pandemic. Understanding the COVID-19 discourse, its differences to the general Twitter discourse, and interdependencies with real-world events or (mis)information can foster valuable insights.

Presenters:

Dr. Dimitar Dimitrov

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11.07.2024 (THU), 13:00-14:00 (CET): Introduction to Scholarly Information Extraction

Registration (via Zoom)   |

Slides  |   Presentation on YouTube   |   MTE Playlist

The Lecture will be held in English.

Scholarly Information Extraction’ involves identifying resources, concepts, actors, and their relationships from scholarly documents and related data sources, such as software repositories. This forms the basis for many use cases, including automated literature reviews and advanced search applications. The talk presents the fundamental concepts and methodologies for scholarly information extraction, followed by a presentation of a scholarly information extraction project from start to finish.Scholarly Information Extraction’ involves identifying resources, concepts, actors, and their relationships from scholarly documents and related data sources, such as software repositories. This forms the basis for many use cases, including automated literature reviews and advanced search applications. The talk presents the fundamental concepts and methodologies for scholarly information extraction, followed by a presentation of a scholarly information extraction project from start to finish.

Presenters:

Wolfgang Otto

Dr. Lu Gan

Dr. Saurav Karmakar

Dr. Philipp Mayr

𝗝𝗼𝗯 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 at the Mannheim University Library: Legal Counsel / Service Steward

The Mannheim University Library is seeking a Legal Counsel (m/f/d) to fill a temporary full-time 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗦𝘁𝗲𝘄𝗮𝗿𝗱 / 𝗟𝗲𝗴𝗮𝗹 𝗖𝗼𝘂𝗻𝘀𝗲𝗹 (𝗘 𝟭𝟯 𝗧𝗩-𝗟) position.

The library coordinates the NFDI consortium BERD@NFDI and is a partner in the 𝗕𝗮𝘀𝗲𝟰𝗡𝗙𝗗𝗜 project. The Base4NFDI project, funded by the DFG, is a collaborative initiative of all consortia within the German National Research Data Infrastructure (NFDI)

As a Legal Counsel, you will play a key role in shaping Germany’s most ambitious project for providing basic services for research data management, leveraging your legal expertise. You will serve as the central point of contact for legal issues, focusing on data protection and anonymization related to the basic services in Base4NFDI. Your responsibilities include supporting NFDI consortia in all service development phases and acting as a liaison for NFDI working groups, service developers, and the Base4NFDI office. Actively contributing your legal expertise in data protection, you will participate in Base4NFDI and the legal working groups of NFDI.

The working languages in the project are 𝗚𝗲𝗿𝗺𝗮𝗻 𝗮𝗻𝗱 𝗘𝗻𝗴𝗹𝗶𝘀𝗵.

For more details, please see the vacancy.

𝗦𝗮𝘃𝗲 𝘁𝗵𝗲 𝗗𝗮𝘁𝗲 for the 𝗕𝗘𝗥𝗗@𝗡𝗙𝗗𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗼𝗻 𝗘𝗺𝗽𝗶𝗿𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗨𝘀𝗶𝗻𝗴 𝗨𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 in June at the University of Mannheim.

Join us on 𝗝𝘂𝗻𝗲 𝟭𝟬-𝟭𝟭, 𝟮𝟬𝟮𝟰, at 𝗠𝗮𝗻𝗻𝗵𝗲𝗶𝗺 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝗰𝗵𝗼𝗼𝗹 for a transformative experience where researchers, doctoral students, and postdocs come together to delve into the influential role of unstructured data in 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝘀𝗰𝗶𝗲𝗻𝗰𝗲𝘀.

𝗪𝗵𝗮𝘁 𝘁𝗼 𝗘𝘅𝗽𝗲𝗰𝘁:

🔍 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝘀:
Connect with pioneers who have harnessed the potential of unstructured data to reshape empirical research. Benefit from their wealth of experience and gain a distinctive perspective on the dynamic developments in the field.

📈 𝗛𝗲𝗮𝗿 𝘁𝗵𝗲 𝗟𝗮𝘁𝗲𝘀𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
Stay on the cutting edge of data analytics by delving into the newest applications in business, economics, and related fields. Witness scholars sharing their groundbreaking work, contributing to future advancements and innovation in our dynamic symposium.

💡 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗕𝗘𝗥𝗗 𝗖𝗼𝗻𝘀𝗼𝗿𝘁𝗶𝘂𝗺’𝘀 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀:
Unlock the practical benefits of the BERD platform through interactive presentations. Gain insights into effective preprocessing techniques and explore the latest advancements driving empirical research. Witness firsthand how the BERD consortium is shaping the future of data analysis.

– Get inspired by the innovative work of the next generation of scholars as they present their groundbreaking analysis of unstructured data.
– Explore the diverse services offered on the BERD platform through engaging and informative sessions.
– Delve into applied data analytics for the public sector and understand how unstructured data can drive impactful decision-making.
– Participate in stimulating conversations, gaining profound insights into data crawling.

🔗 𝗧𝗼 𝘀𝘁𝗮𝘆 𝘂𝗽𝗱𝗮𝘁𝗲𝗱, 𝘃𝗶𝘀𝗶𝘁 https://berd-indico.uni-mannheim.de/event/16/
📩 Registration will soon be opened.

Die NFDI soll Forschende dabei zu unterstützen, ihre Forschungsdaten mühelos zugänglich zu machen, zu vernetzen und langfristig nutzbar zu erhalten. Hierfür wurden 26 Konsortien ins Leben gerufen, die sich verschiedenen Datentypen und/oder Disziplinen widmen. Allerdings widmet sich bislang kein einziges Konsortium explizit den Fachgebieten der Buch-, Bibliotheks- und Informationswissenschaft. Infolgedessen müssen Forschende in diesen Bereichen eigenständig entscheiden, welches der bestehenden Konsortien für sie am hilfreichsten ist. Die NFDI-Workshops des FID BBI haben das Ziel, diesen Auswahlprozess zu erleichtern und zu beschleunigen. Darüber hinaus soll gemeinsam erörtert werden, ob die Bedürfnisse der Community innerhalb der aktuellen NFDI-Landschaft angemessen berücksichtigt werden.

Am 14. Februar 2024 um 13:30-15:30 Uhr stellt sich u.a. BERD@NFDI mit seinen buch-, bibliotheks- und informationswissenschaftlichen Daten vor, die mit den Methoden der Sozial- und Wirtschaftswissenschaften generiert wurden.

Es ist keine Anmeldung erforderlich.

Webex-Link: https://herzogaugustbibliothek.my.webex.com/herzogaugustbibliothek.my/j.php?MTID=m8dbc26d570601f4e7d4bb3036d1dedd3  Kennnummer (Zugriffscode): 2360 515 8245; Passwort: 3pnUM4Nmxe3

Kommen Sie zum Speeddating: Die NFDI-Workshops des FID BBI

Kürzlich wurde die zweite Version der 𝗟𝗲𝗿𝗻𝘇𝗶𝗲𝗹𝗺𝗮𝘁𝗿𝗶𝘅 𝗳ü𝗿 𝗱𝗮𝘀 𝗙𝗼𝗿𝘀𝗰𝗵𝘂𝗻𝗴𝘀𝗱𝗮𝘁𝗲𝗻𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (https://zenodo.org/records/8010617) auf Deutsch und Englisch vorgestellt. Diese Matrix bietet einen umfassenden Überblick über relevante Themen im Forschungsdatenmanagement sowie vorgeschlagene Lernziele, die auf verschiedene Zielgruppen zugeschnitten sind.

Wir freuen uns, Mitglieder der NFDI- und Forschungsdatenmanagement-Community zu einem 𝗗𝗔𝗟𝗜𝗔 𝗢𝗘𝗥 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗘𝘃𝗲𝗻𝘁 als 𝗟𝘂𝗻𝗰𝗵-𝘁𝗼-𝗟𝘂𝗻𝗰𝗵-𝗠𝗲𝗲𝘁𝗶𝗻𝗴 einzuladen, um gemeinsam an der Lernzielmatrix zu arbeiten, sie weiterzuentwickeln und als Standard zu etablieren.

Datum: 𝟯𝟭. 𝗝𝗮𝗻𝘂𝗮𝗿 𝗯𝗶𝘀 𝟭. 𝗙𝗲𝗯𝗿𝘂𝗮𝗿 𝟮𝟬𝟮𝟰

Ort: 𝗚𝗲𝗼𝗿𝗴-𝗖𝗵𝗿𝗶𝘀𝘁𝗼𝗽𝗵-𝗟𝗶𝗰𝗵𝘁𝗲𝗻𝗯𝗲𝗿𝗴-𝗛𝗮𝘂𝘀, 𝗗𝗮𝗿𝗺𝘀𝘁𝗮𝗱𝘁

Veranstaltet von:

𝗨𝗔𝗚 𝗦𝗰𝗵𝘂𝗹𝘂𝗻𝗴/𝗙𝗼𝗿𝘁𝗯𝗶𝗹𝗱𝘂𝗻𝗴 𝗱𝗲𝗿 𝗗𝗜𝗡𝗜/𝗻𝗲𝘀𝘁𝗼𝗿 𝗔𝗚 𝗙𝗼𝗿𝘀𝗰𝗵𝘂𝗻𝗴𝘀𝗱𝗮𝘁𝗲𝗻

𝗗𝗔𝗟𝗜𝗔 (𝗗𝗮𝘁𝗮 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗔𝗹𝗹𝗶𝗮𝗻𝗰𝗲)

𝗡𝗙𝗗𝗜-𝗦𝗲𝗸𝘁𝗶𝗼𝗻 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻

Weitere Informationen und die Anmeldung: https://dalia.education/

Eine Webinar-Reihe zur European Open Science Cloud (EOSC), zu Zielen, Zukunftsperspektiven und Beteiligungsmöglichkeiten

Die Europäische Open Science Cloud (EOSC) ist eine wegweisende Initiative, die darauf abzielt, einen integrativen und offenen Raum für den Austausch und die Nutzung von Forschungsdaten in Europa zu schaffen.

Drei kostenfreie EOSC Coffee Lectures der ZBW vermitteln Klarheit darüber, was die EOSC ist und was sie nicht ist, stellen den aktuellen Stand sowie relevante Entwicklungen im Zusammenhang der EOSC vor und zeigen auf, wie man sich in die Aktivitäten der EOSC einbringen kann.

Die EOSC Coffee Lectures laden alle ein, die sich in ihrer wissenschaftlichen Tätigkeit mit Forschungsdaten befassen oder an der Umsetzung und dem Betrieb von Forschungsdateninfrastrukturen beteiligt sind.

Die Coffee Lectures werden gehalten von Prof. Dr. Klaus Tochtermann. Prof. Dr. Klaus Tochtermann ist unter anderem Mitglied im Board of Directors der EOSC Association (EOSC-A), Co-Sprecher von BERD@NFDI und Mitglied im NFDI-Senat.

1. EOSC Coffee Lecture:
“Was ist die EOSC und welche Ziele verfolgt sie?”

Datum: Dienstag, 30. Januar 2024
Uhrzeit: 16:00-17:00

Inhalte:

• Entstehungsgeschichte der EOSC
• Klärung: Was ist die EOSC (und was ist sie nicht)
• Ziele und Nicht-Ziele der EOSC
• Governance-Struktur der EOSC
• Zeitplan zur Implementierung der EOSC

Zur Anmeldung

2. EOSC Coffee Lecture:
“Wo steht die EOSC heute und welche Zukunftsperspektiven gibt es?”

Datum: Dienstag, 27. Februar 2024
Uhrzeit: 16:00-17:00

Inhalte:

• Aktuelle Entwicklungen um die EOSC
• Zukünftig relevante Konzepte der EOSC, wie EOSC EU Node, national, regional thematic EOSC nodes
• Stand der Diskussionen zur EOSC im 10. EU-Rahmenprogramm ab 2027 (EOSC-post 2027)
• Mögliche Rolle der NFDI in der EOSC-post 2027

Zur Anmeldung

3. EOSC Coffee Lecture:
“Welche Möglichkeiten zur Beteiligung gibt es?”

Datum: Dienstag, 26. März 2024
Uhrzeit: 16:00-17:00

Inhalte:

• Bedeutung der deutschen Beteiligung an Entwicklungen der EOSC
• Möglichkeiten zur Beteiligung an der EOSC
• Ausblick auf relevante Aktivitäten und Veranstaltungen 2024

Zur Anmeldung

Webinar 1: Data Protection & Ethics in Research Data Management

Due to illness, the webinar had to be rescheduled. The new webinar date is Wednesday, 13.12.2023, 10:00 – 11:30

Date & Time: December 13, 2023, 10:00 – 11:30

Key Topics:

• Why is data protection essential, and when does the GDPR apply?
• Understanding ethical requirements in data handling.

Speakers:

• Vasilka Stoilova (University of Mannheim, BERD@NFDI)
• Andreas Bruns (GHGA German Human Genome-Phenome Archive, FAIR DS: FAIR-Data Spaces)

For more details, visit Webinar on Data Protection & Ethics.

Webinar 2: FAIR Data Optimization and Insights

Date & Time: December 15, 2023, 10:00 – 11:30

Key Topics:

• Optimizing FAIR Data Sharing with ChatGPT.
• Understanding data policies of economic and social science journals.

Speakers:

• Renat Shigapov (Data Science Consultant in FDZ | Data Scientist for BERD@NFDI | Coordinator of the NFDI WG “Knowledge Graphs”)
• Thomas Seyffertitz (Deputy Head of Collection Management at Vienna University of Economics and Business Library: Economics and Business Administration, Finance, Accounting & Statistics, Research Data Management)

For more information, visit Webinar on FAIR Data.

Read the interview here.

From small coffee lectures to full-day workshops and flipped classrooms – the 𝗕𝗘𝗥𝗗 𝗔𝗰𝗮𝗱𝗲𝗺𝘆 reflects the demand for continuous education in rapidly evolving fields not covered by traditional curricula.

The BERD Academy is a substantial component of our Initiative. It is at the forefront of empowering researchers with accessible and free data science and management knowledge.

From the interview, you can learn more about BERD Academy’s mission, the diverse participant profiles, the instructors with practical expertise, and the innovative didactic approaches used to ensure effective learning.