Invitation: OAPEN & DOAB (Text+ IO-Lecture), February 10th 2025 11:00 via Zoom
by Weimer, Lukas
Liebe Humanities@NFDI-Kolleg:innen,
darf ich darum bitten, untenstehende Veranstaltung auch in euren Konsortien zu bewerben. Dürfte für euch ja ebenso relevant sein.
Dankeschön, herzlichen Gruß und schönes Wochenende
Lukas
________________________________
Dear NFDI colleagues,
I would like to cordially invite you to the Text+ IO Lecture on OAPEN & DOAB, taking place on Monday, February 10, 2025, at 11:00 am. Registration is free and available here: https://text-plus.org/aktuelles/veranstaltungen/2025-02-10-io-lecture-oap...
What is it about?
OAPEN (Open Access Publishing in European Networks) and DOAB (Directory of Open Access Books) have long been established players in the field of Open Access publishing for monographs and edited volumes. We are delighted to welcome Silke Davison and Sebastiano Sali (both Community Managers) to introduce these services and address NFDI-specific questions.
The goals of OAPEN are:
1. Building a branded collection of peer-reviewed OA titles.
2. Increasing the visibility and discoverability of high-quality publications.
3. Promoting and further expanding Open Access publishing for books.
More information: https://www.oapen.org/
DOAB is a community-driven discovery service indexing peer-reviewed Open Access books and facilitating access to them. It helps users find trusted Open Access book publishers. All DOAB services are free of charge, and all data is openly available.
Target Audience
This lecture is aimed not only at the Text+ community but also at colleagues from other humanities and cultural sciences consortia. Are you an academic author interested in publishing your next work as Open Access? Are you a developer or infrastructure operator exploring ways to integrate the OAPEN collection into your search and retrieval services? Do you want to learn more about funding opportunities for Open Access monographs? Then this lecture is for you!
Registration
Register here<https://events.gwdg.de/event/1009/>
When?
Monday, February 10, 2025, from 11:00 am to 12:30 pm
Zoom
Join via Zoom<https://uni-goettingen.zoom-x.de/j/63619206134?pwd=dMqZrwjl3Tq4h2ktgOsatH...>
A calendar entry with the Zoom link is attached (please register via the link above to receive updates or documentation).
Feel free to share this invitation with colleagues beyond Text+. For questions, do not hesitate to reach out to me directly.
Best regards,
Stefan Buddenbohm
>>>
Liebe NFDI-Kolleginnen und Kollegen,
ich möchte Sie/Euch hiermit herzlich zur Text+ IO-Lecture OAPEN & DOAB am Montag, dem 10. Februar 2025 um 11 Uhr einladen.
Worum soll es gehen?
OAPEN, kurz für Open Access Publishing in European Networks, sowie DOAB, das Directory of Open Access Books, sind seit langem etablierte Akteure für das Open Access-Publizieren von Monographien und Sammelbänden. Wir freuen uns, dass Silke Davison und Sebastiano Sali (beide Community Manager) uns beide Dienste vorstellen und sich der Diskussion von NFDI-spezifischen Fragen stellen.
Die Ziele von OAPEN sind: (1) Aufbau einer gebrandeten Kollektion von peer-reviewten OA-Titeln, (2) Erhöhung der Sichtbarkeit und Auffindbarkeit von qualitätsgesicherten Publikationen sowie (3) die Förderung und weitere Verbreitung von Open Access-Publizieren von Büchern: https://www.oapen.org/
DOAB ist ein Community-orientierter Discovery-Service, der wissenschaftliche, begutachtete Open-Access-Bücher indexiert und den Zugang dazu ermöglicht. Er hilft Nutzern, vertrauenswürdige Open-Access-Buchverlage zu finden. Alle DOAB-Dienste sind kostenlos, und alle Daten sind frei verfügbar.
Zielgruppe
Diese Lecture richtet sich über Text+ hinaus an alle Mitarbeitenden in den geistes- und kulturwissenschaftlichen Konsortien. Sind Sie als wissenschaftliche Autorin interessiert, ob und wie die nächste Publikation als OA durchgeführt werden kann? Sind Sie als Entwickler oder Infrastrukturbetreiber an der Einbindung der OAPEN-Kollektion in ihre Search&Retrieval-Dienste interessiert? Wollen Sie mehr über die Fördermöglichkeiten von OA-Monographien erfahren? Dann ist diese Lecture genau richtig für Sie!
Anmeldung hier: https://events.gwdg.de/event/1009/
Wann? Montag, 10. Februar 2025 von 11:00 bis 12:30 Uhr
Zoom: https://uni-goettingen.zoom-x.de/j/63619206134?pwd=dMqZrwjl3Tq4h2ktgOsatH...
Kalendereintrag mit Zoomlink anbei (trotzdem bitte unter dem Link oben anmelden, auch für etwaige Änderungen oder die Dokumentation). Es dürfen sehr gern Kolleginnen und Kollegen über Text+ hinaus informiert und diese Einladung weiterverteilt werden. Für Fragen gerne an mich direkt schreiben.
Herzlich
Stefan Buddenbohm
_______________________________________________________________
Stefan Buddenbohm
Research and Development
Metadata and Data Conversion
Georg-August-Universität Göttingen
Göttingen State and University Library
D-37070 Göttingen
Papendiek 14 (Historical Building, Room 2.407/2.301)
+49 551 39 25901 (Göttingen)
+49 5571 30 29 005 (Uslar)
buddenbohm(a)sub.uni-goettingen.de<mailto:buddenbohm@sub.uni-goettingen.de>
Matrix @sbudden:uni-goettingen.de
________________________________________________________________
5 months
Neufassung MoU
by Weimer, Lukas
Liebe Kolleginnen und Kollegen,
wie eben im Meeting besprochen: Hier ein Dokument, in dem wir über die Neufassung unseres MoU beraten können. Also sehr aktiv beraten: in einem ersten Schritt können wir gemeinsam überlegen, welche Textteile des ursprünglichen MoU wir übernehmen, ändern oder löschen wollen.
Alles natürlich, um es irgendwann als Vorlage unseren Sprechern vorzulegen (und es möglichst rechtzeitig in Fortsetzunganträge und Zwischenberichte einzubringen)
https://docs.google.com/document/d/1QsFgAfjNlZTDKsjkQSDsuXXrv8zndRVlWjaTl...
Viele Grüße und danke für das nette Meeting
Lukas
5 months
Zhang Jing PhD Application Letter And Application Documents
by 张婧
Dear Professor,
I am writing to express my keen interest in pursuing a PhD with your esteemed project and team in the field of computer science, focusing on the application of artificial intelligence, machine learning, and digital systems in aviation. With over a decade of experience in the aviation industry and a Master’s degree in Data Science from the University of Aberdeen, I am eager to contribute to groundbreaking research. My professional journey, combined with my academic training, makes me uniquely qualified for this program, and I look forward to exploring innovative solutions that optimize aviation safety, operational efficiency, and predictive maintenance.
My path to this point is not typical. Coming from a liberal arts background and a modest family, I pursued a self-driven journey into aviation, working tirelessly to learn specialized knowledge and technical skills. While working full-time, I sacrificed personal time, dedicating my nights to self-study. This determination enabled me to thrive in a highly technical field traditionally dominated by male engineers with advanced engineering degrees. Despite these challenges, I worked my way up through the ranks in aviation, proving my capabilities time and again. I now hold the position of Deputy Director of the Safety Technology Supervision Department at Huaxia Jiuzhou General Aviation Co., Ltd., where I’ve applied my knowledge to drive advancements in safety systems, operational efficiency, and predictive diagnostics.
For over 12 years, my career has centered on integrating safety systems, regulatory compliance, and airworthiness certification, overseeing projects that enhance aviation safety protocols. I successfully implemented advanced digital systems for real-time data collection and predictive diagnostics, improving both aircraft safety and operational efficiency. In particular, I led an AI-driven project that developed a predictive maintenance system using machine learning algorithms to analyze real-time sensor data, anticipating engine failures before they occurred. This project not only reduced maintenance costs and downtime but also underscored the transformation power of AI in aviation.
In 2023, I completed my Master of Science in Data Science at the University of Aberdeen, gaining expertise in machine learning and data analysis. My final project focused on designing a predictive analysis system for aircraft engines, which proved instrumental in optimizing maintenance processes. Under the guidance of esteemed researchers such as Professors Georg Struth, Haiping Lu, and Richard Sinnott, I was able to hone my analytical skills and deepen my commitment to applying data-driven solutions in aviation.
My PhD research will focus on five primary areas:
Predictive Maintenance and AI Applications: I aim to develop machine learning models that analyze large datasets to predict system failures in real time, optimizing maintenance schedules and enhancing system reliability across various domains, including aviation.
Digital Twin Technology and Simulation: The integration of digital twin technology with complex systems offers vast potential for improving design and testing processes. My research will explore the use of simulations to model physical systems and processes, enabling predictive analysis and performance optimization in a range of industries.
Fault-Tolerant Systems and Control Architectures: Ensuring robust and fault-tolerant control systems is critical for mission-critical operations. My research will focus on designing computing architectures that detect and mitigate system failures in real time, applicable to both aviation and broader computing environments.
Big Data Analytics: Leveraging large-scale data generated across industries, my research will delve into advanced techniques for big data processing and analysis. This will allow for more accurate predictions, informed decision-making, and enhanced system performance in dynamic and complex environments.
Industrial Digitalization: As industries increasingly adopt digital solutions, my research will explore the intersection of industrial processes and digital technologies. I will investigate how digitalization can drive efficiency, streamline operations, and promote smarter, data-driven systems, contributing to the transformation of traditional industries.
Your PhD program, known for its interdisciplinary research and commitment to applying AI to practical challenges, particularly in aviation, aligns perfectly with my goals. I am deeply impressed by the strength and professionalism of your research group, led by respected experts in the field. The opportunity to learn from and contribute to such a talented and distinguished team is incredibly exciting. I am eager to continue my professional journey in this environment, applying my unique experience to advanced research.
What sets me apart as a candidate is my combination of extensive hands-on industry experience, academic training in data science, and a track record of using innovative technologies to solve real-world problems. My self-directed path through a challenging technical field, coupled with my passion for research, has shaped me into a tenacious and resourceful professional. These attributes, alongside my leadership experience and collaborative skills, make me confident that I can contribute meaningfully to your program.
In conclusion, I am committed to advancing aviation through cutting-edge research in AI and digital technologies. I am confident that your PhD program will provide the ideal platform for me to continue growing as a scholar while contributing to impact research.Thank you for considering my application. I look forward to discussing how my background, experience, and research interests align with your program’s vision.
Sincerely,
Zhang Jing
从网易163邮箱发来的超大附件推荐客户端极速下载
1.Some Personal Technical publications.zip (161.53M, 2025年1月29日 10:44 到期)
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2. Zhang Jing-Transcript（Bachelor）-Zhang Jing.pdf (3.54M, 2025年1月29日 10:46 到期)
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3. Zhang Jing-Graduation Certificates & Degree Certificates for Bachelor Degree.pdf (2.79M, 2025年1月29日 10:46 到期)
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4. Zhang Jing-Curriculum Vitae.pdf (112.95K, 2025年1月29日 10:46 到期)
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5. Zhang Jing-Transcript（Master Degree.pdf (12.46K, 2025年1月29日 10:46 到期)
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6 Zhang Jing-Graduation certificate of Master Degree.pdf (241.72K, 2025年1月29日 10:46 到期)
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7. Zhang Jing-Notice Scores and Grade Points（Bachelor Degree）.pdf (427.5K, 2025年1月29日 10:46 到期)
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8. Zhang Jing-Notice Scores and Grade Points（Master Degree）.pdf (12.46K, 2025年1月29日 10:46 到期)
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9. Zhang Jing-Certificate of Employment（1）.pdf (216.24K, 2025年1月29日 10:46 到期)
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10. Zhang Jing-Certfication of Employment (Translated Version)（1）.pdf (301.19K, 2025年1月29日 10:46 到期)
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11. Zhang Jing-Certificate of Employment（2）.pdf (140.64K, 2025年1月29日 10:46 到期)
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12. Zhang Jing-Certfication of Employment (Translated Version)（2）.pdf (792.44K, 2025年1月29日 10:46 到期)
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13. Zhang Jing-Motivation Letter.pdf (70.66K, 2025年1月29日 10:46 到期)
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14. Zhang Jing-Personal Statement.pdf (78.76K, 2025年1月29日 10:46 到期)
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15. Zhang Jing-Recommendation Letter1.pdf (88.27K, 2025年1月29日 10:46 到期)
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16. Zhang Jing-Recommendation Letter2.pdf (89.27K, 2025年1月29日 10:46 到期)
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17. Zhang Jing-Recommendation Letter3.pdf (74.83K, 2025年1月29日 10:47 到期)
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18. Zhang Jing-Research Proposal.pdf (85.26K, 2025年1月29日 10:47 到期)
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19.Zhang Jing-Language Level Certificate1.pdf (185K, 2025年1月29日 10:47 到期)
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20. Zhang Jing-IELTS Certificate.PDF (20.12M, 2025年1月29日 10:47 到期)
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21. Zhang Jing-Test for English Majors-Band 8 Certificate.PDF (11.38M, 2025年1月29日 10:47 到期)
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22. Jing Zhang -Thesis(Master Degree).pdf (1.61M, 2025年1月29日 10:47 到期)
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5 months
MoU-Officerunde am 14.01.2025, 13–14 Uhr
by Weimer, Lukas
Liebe MoU-Officerunde,
ich freue mich, dass wir auch in 2025 unsere produktive und erfolgreiche Zusammenarbeit fortsetzen! Wie gehabt erinnere ich hiermit gerne an unser nächstes Meeting am Di, 14.01.2025, 13–14 Uhr.
Wir treffen uns an bekanntem Ort: https://uni-goettingen.zoom.us/j/92613276963?pwd=OVphRmQ0L1Q5amtHVktTVi9G... , ihr habt den Eintrag bereits im Kalender.
Und nutzen das bekannte Pad: https://pad.gwdg.de/MoU-Offices?both (tragt gerne mehr ein!)
Mit den besten Wünschen für 2025 grüßt
Lukas
---
Dr. Lukas Weimer
Abteilung Forschung & Entwicklung der
Niedersächsischen Staats- und Universitätsbibliothek Göttingen
Base4NFDI, Text+, DARIAH-DE, GKFI, Redaktion DHd-Blog
Papendiek 14 (Historisches Gebäude, Raum 2.407)
D-37073 Göttingen
weimer(a)sub.uni-goettingen.de
https://www.rdd.sub.uni-goettingen.de
5 months, 1 week