Theresa Velden

Dr. Theresa Velden

Abteilung Forschungssystem und Wissenschaftsdynamik
Nachwuchsgruppenleitung
  • 030 2064177-51
  • 030 2064177-99

Theresa Velden studierte Physik an der Universität Bielefeld und dem University College Dublin. Nach mehrjähriger Tätigkeit in verantwortungsvollen Positionen im Bereich wissenschaftliches Publizieren und Informationsmanagement in der Max-Planck-Gesellschaft (1998-2005), wechselte sie an die Cornell University. Sie promovierte dort 2011 in Informationswissenschaften mit dem Nebenfach Science & Technology Studies. In ihrer Promotion untersuchte sie vergleichend das Sharing-Verhalten von Forschungsgruppen in der Physik und Chemie, und entwickelte zur Unterstützung von feldvergleichenden Studien einen innovativen bibliometrisch-ethnographischen Mixed Method Ansatz. Als Postdoc forschte sie anschließend am Department für Information Science der Cornell University sowie an der School of Information der University of Michigan, wo sie unter anderem Herausforderungen in der interdisziplinären Kollaboration in datenintensiven Forschungsprojekten ethnographisch untersuchte. Von 2016-2018 war sie als Marie Curie/IPODI Fellow am Zentrum für Technik und Gesellschaft (ZTG) der Technischen Universität Berlin. Dort vertiefte sie ihre wissenschaftssoziologischen Theorie- und Methodenkenntnisse und befasste sich thematisch mit fachspezifischen Formen von ‚Open Science‘ und Reproduzierbarkeit in der Wissenschaft. Seit August 2018 leitet sie die Nachwuchsgruppe „Fachspezifische Formen von Open Science“ am DZHW.

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Wissenschaftliche Forschungsgebiete

Wissenschaftsforschung, Informationswissenschaft, Integration quantitativer und qualitativer Methoden, Feldvergleichende Studien, Wissenschaftliche Kommunikation & Kollaboration

Projekte

Liste der Projekte

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Forschungscluster: Open Science
Forschungscluster: Empirische Methoden der Hochschul- und Wissenschaftsforschung
Nachwuchsgruppe: Fachspezifische Formen von Open Science
Publikationen

Liste der Publikationen

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A Case Study of the Epistemic Function of Citations - Implications for Citation-based Science Mapping.

Seitz, C., Schmidt, M., Schwichtenberg, N., & Velden, T. (2021).
A Case Study of the Epistemic Function of Citations - Implications for Citation-based Science Mapping. In W. Glänzel, S. Heeffer, P.-S. Chi, & R. Rousseau (Hrsg.), Proceedings of the 18th International Conference on Scientometrics & Informetrics (S. 1027-1032). Leuven: KU Leuven / International Society for Scientometrics and Informetrics (I.S.S.I.).
Abstract

The use of citations as indicators of topical relatedness of publications is common in the algorithmic mapping of the structure of science. References to source documents, however, may serve a variety of epistemic functions, and hence represent rather different dimensions of topical relatedness, such as the research methods used, the empirical objects studied, the theoretical resources build on, the research questions pursued, or the external motivation for and relevance of the work. In this case study, we explore the diversity in topical dimensions along which publications are linked in citation networks, by coding the epistemic function of in-text citations. [...]

The Open Innovation in Science Research Field: A Collaborative Conceptualisation Approach.

Beck, S., Bergenholtz, C., Bogers, M., Brasseur, T., Conradsen, M. L., Di Marco, D., ... & Xu, S. M. (2020).
The Open Innovation in Science Research Field: A Collaborative Conceptualisation Approach. Industry and Innovation. https://doi.org/10.1080/13662716.2020.1792274

How to interpret algorithmically constructed topical structures of research specialties? A case study comparing an internal and an external mapping of the topical structure of invasion biology.

Held, M., & Velden, T. (2019).
How to interpret algorithmically constructed topical structures of research specialties? A case study comparing an internal and an external mapping of the topical structure of invasion biology. In Catalano, G., Daraio, C., Gregori, M., Moed, H. F., & Ruocco, G (Hrsg.) Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (ISSI 2019), Vol. 2, (S. 1933-1939). Edizioni Efesto. ISBN 978-88-3381-118-5.

Exploration of reproducibility issues in scientometric research.

Velden, T., Hinze, S. Scharnhorst, A. Schneider, J.W., & Waltman, L. (2018).
Exploration of reproducibility issues in scientometric research. In STI 2018 Conference Proceedings. Proceedings of the 23rd International Conference on Science and Technology Indicators. 12-14 September 2018, Leiden, The Netherlands.

Topic identification challenge.

Boyack, K., Glänzel W., Gläser, J., Havemann, F., Scharnhorst, A., Thijs, B., ... & Waltmann, L. (2017).
Topic identification challenge. Scientometrics, 111(2), 1223-1224.

Comparison of Topic Extraction Approaches and Solutions.

Velden, T., Boyack, K., Gläser, J., Koopman, R., Scharnhorst, A., & Wang, S. (2017).
Comparison of Topic Extraction Approaches and Solutions. In J. Gläser, A. Scharnhorst & W. Glänzel (eds): Same data - different results? Towards a comparative approach to the identification of thematic structures in science, Special Issue of Scientometrics. https://doi.org/10.1007/s11192-017-2306-1

Infomap Clustering of Direct Citation Network and Topic Affinity Analysis.

Velden, T., Yan, S., & Lagoze, C. (2017).
Infomap Clustering of Direct Citation Network and Topic Affinity Analysis. In Gläser, J., Scharnhorst, A. & Glänzel, W. (eds): Same data - different results? Towards a comparative approach to the identification of thematic structures in science, Special Issue of Scientometrics. https://doi.org/10.1007/s11192-017-2299-9

The Extraction of Community Structures from Publication Networks to Support Comparative Studies of Field Differences in Scientific Communication.

Velden, T., & Lagoze, C. (2013).
The Extraction of Community Structures from Publication Networks to Support Comparative Studies of Field Differences in Scientific Communication. Journal of the American Society for Information Science and Technology (JASIST), 64(12), 2405-2427.

Explaining Field Differences in Openness and Sharing in Scientific Communities.

Velden, T. (2013).
Explaining Field Differences in Openness and Sharing in Scientific Communities. In Proceedings of ACM Conference on Computer Supported Cooperative Work (CSCW), February 25-27, 2013, San Antonio, TX, USA (pp. 445-458). [Best Paper Nomination].

Resolving Author Name Homonymy to Improve Res- olution of Structures in Co-author Networks.

Velden, T., Haque, A., & Lagoze, C. (2011).
Resolving Author Name Homonymy to Improve Res- olution of Structures in Co-author Networks. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), June 13 – 17, 2011, Ottawa, Ontario, Canada (pp. 241–250). [Best Paper Nomination].

A New Approach to Analyzing Patterns of Collaboration in Co-authorship Networks - Mesoscopic Analysis and Interpretation.

Velden T., Haque, A., & Lagoze, C. (2010).
A New Approach to Analyzing Patterns of Collaboration in Co-authorship Networks - Mesoscopic Analysis and Interpretation. Scientometrics, 85(1), 219 – 242.

Communicating Chemistry.

Velden T., & Lagoze, C. (2009).
Communicating Chemistry. Nature Chemistry 1, 673-678.

The Value of New Scientific Communication Models for Chemistry.

Velden, T., & Lagoze, C. (2009).
The Value of New Scientific Communication Models for Chemistry. Whitepaper October 2009.

In-car GPS navigation: Engagement with and disengagement from the environment.

Leshed, G., Velden, T., Rieger, O., Kot, B., & Sengers P. (2008).
In-car GPS navigation: Engagement with and disengagement from the environment. In Proceedings of The 26th Annual ACM Conference on Human Factors in Computing Systems (CHI), April 5-10, 2008, Florence, Italy. ACM, New York, NY (pp. 1675-1684). [Best Paper Award].

Internet und Wissenschaft - Das Konzept von Open Access für wissenschaftliches Arbeiten.

Schlögl R., & Velden T. (2005).
Internet und Wissenschaft - Das Konzept von Open Access für wissenschaftliches Arbeiten. In P. Hauke (Hrsg.), Bibliothekswissenschaft - quo vadis? : eine Disziplin zwischen Traditionen und Visionen. München: Saur.
Vorträge & Tagungen

Liste der Vorträge & Tagungen

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A Case Study of the Epistemic Function of Citations - Implications for Citation-based Science Mapping.

Velden, T. (2021, Juli).
A Case Study of the Epistemic Function of Citations - Implications for Citation-based Science Mapping. Vortrag auf der Konferenz 18th Conference of the International Society for Scientometrics and Informetrics (ISSI 2021), KU Leuven, Leuven, Belgium.
Abstract

The use of citations as indicators of topical relatedness of publications is common in the algorithmic mapping of the structure of science. References to source documents, however, may serve a variety of epistemic functions, and hence represent rather different dimensions of topical relatedness. They may pertain to the research methods used, the empirical objects studied, the theoretical resources build on, the research questions pursued, or the external motivation for and relevance of the work. In this qualitative case study, we explore the diversity in topical dimensions along which publications are linked in citation networks.

Explaining field specific forms of sharing – The influence of epistemic conditions.

Velden, T. (2021, Mai).
Explaining field specific forms of sharing – The influence of epistemic conditions. In E. Barlösius & N. Taubert (Vorsitz), In- and Outside Open Science. auf der Konferenz STS Conference Graz 2021 - Critical lssues In Science, Technology and Society Studies, Annual Conference of the Science Technology and Society Unit of the Institute of Interactive Systems and Data Science of Graz University of Technology, the Inter-University Research Centre for Technology, Work and Culture (IFZ) and the Institute for Advanced Studies of Science, Technology and Society (IAS-STS)., Graz, Österreich.
Abstract

Open science advocates and an increasing number of political stakeholders and research funding agencies encourage researchers to publicly share the various instantiations of scientific knowledge that are generated during the research process, in particular research data, but also computer code, method protocols, or material specimens. Critical for the success of this vision is the readiness of research groups to share those tools and resources that they have created. The study I will present seeks to contribute to a theory of field-specific forms of sharing by looking specifically at the question how sharing decisions are influenced by the epistemic conditions for research in a field.

A comparative approach to field-specific forms of sharing.

Velden, T., & Schwichtenberg, N. (2020, August).
A comparative approach to field-specific forms of sharing. Vortrag auf der EASST/4S 2020 Locating and Timing Matters: Significance and agency of STS in emerging worlds, 18.8.-21.08.2020, Prague, Czech Republic.

Fachspezifische Formen von Open Science.

Velden, T. (2020, Juni).
Fachspezifische Formen von Open Science. Vortrag auf dem Treffen der UNIWiND Open Science AG, 16.06.2020.

Challenges of interpreting topic maps of research specialties: a case study of invasion biology.

Velden, T. (2019, September).
Challenges of interpreting topic maps of research specialties: a case study of invasion biology. Vortrag auf dem Workshop "Topic Construction", Technische Universität Berlin, 19.-20.09.2019, Berlin.

How to interpret algorithmically constructed topical structures of research specialties? A case study comparing an internal and an external mapping of the topical structure of invasion biology.

Velden, T. (2019, September).
How to interpret algorithmically constructed topical structures of research specialties? A case study comparing an internal and an external mapping of the topical structure of invasion biology. Vortrag auf der 17th International Conference of Scientometrics & Infometrics, 02.-09.09.2019, Rome, Italy.

Field Specific Forms of Open Science.

Velden, T. (2019, Mai).
Field Specific Forms of Open Science. Vortrag auf dem 1st Open Innovation in Science (OIS) Research Workshop, 02.-03.05.2019, Vienna, Austria.

Exploration of reproducibility issues in scientometric research.

Velden, T., Hinze, S., Scharnhorst, A., Schneider, J., & Waltman, L. (2018, September).
Exploration of reproducibility issues in scientometric research. Special Track on "Reproducibility in Scientometrics". 23rd International Conference on Science and Technology Indicators (STI 2018), September 12-14, 2018, Leiden, The Netherlands.

Methodological Challenges for the Comparison of Results of Topic Extraction from Scientific Literature.

Velden, T. (2017, Oktober).
Methodological Challenges for the Comparison of Results of Topic Extraction from Scientific Literature. In: Proceedings of The 16th International Conference on Scientometrics and Informetrics (ISSI), October 16-20, 2017, Wuhan, China.

Epistemische Bedingungen für Offene Wissenschaft: Das Teilen von Wissensressourcen im Spannungsfeld von Konkurrenz und Kooperation.

Velden, T. (2017, Juni).
Epistemische Bedingungen für Offene Wissenschaft: Das Teilen von Wissensressourcen im Spannungsfeld von Konkurrenz und Kooperation. Technik- und Innovationsforschung Kolloquium, Institut für Soziologie, TU Berlin. 21. Juni 2017.

Open Data, Reproducibility & the Reliability of Scientific Knowledge.

Velden, T. (2016, August/September).
Open Data, Reproducibility & the Reliability of Scientific Knowledge. Annual Meeting of the Society for Social Studies of Science (4S), August 31 September 3, 2016, Barcelona, Spain.

Mapping Scientific Communities to Scale-Up Ethnographic Observations.

Velden, T. (2016, Mai).
Mapping Scientific Communities to Scale-Up Ethnographic Observations. Workshop on ‘CSCW at Scale’ University of Michigan, Ann Arbor, May 6, 2016.

Mapping Scientific Communities - Opening up the Black Box.

Velden, T. (2015, Dezember).
Mapping Scientific Communities - Opening up the Black Box. Brown Bag Seminar, School of Information Studies, Syracuse University, USA. December 3, 2015.

Collaborative Challenges in Interdisciplinary Data Science Projects.

Velden, T., Plantin, J.C., & Lagoze, C. (2015, November).
Collaborative Challenges in Interdisciplinary Data Science Projects. Annual Meeting of the Society for Social Studies of Science (4S), November 11-14, 2015, Denver, USA.

Same Data, Different Results? On a Comparative Topic Extraction Exercise.

Velden, T., Boyack, K., van Eck, N., Glänzel, W., Gläser, J., Havemann, F., ... & Wang, S. (2015, November).
Same Data, Different Results? On a Comparative Topic Extraction Exercise. METRICS 2015 - ASIS&T Workshop on Informetric and Scientometric Research, November 7, 2015, St Louis, Missouri, USA.
CV
Seit August 2018

Nachwuchsgruppenleiterin am DZHW

2016-2018

Marie-Curie/IPODI-Stipendiatin und Wissenschaftliche Mitarbeiterin, TU Berlin

2012-2016

Postdoktorand, University of Michigan, Ann Arbor, Michigan, USA

2011-2012

Postdoktorand, Cornell University, Ithaca, New York, USA

2012

Lehrauftrag 'Web-Informationssysteme', Wintersemester 2012, Cornell University, Ithaca, New York, USA

2005-2011

Promotion in Informationswissenschaft, Cornell University, Ithaca, New York, USA

2001-2005

Geschäftsführende Direktorin des Heinz Nixdorf Zentrums für Informationsmanagement in der Max-Planck-Gesellschaft, München, Deutschland

1998-2001

Chefredakteurin der wissenschaftlichen online Zeitschrift 'Living Reviews in Relativity', Max-Planck-Institut für Gravitationsphysik, Golm

1990-1997

Diplomstudium Physik, Universität Bielefeld und University College Dublin

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