Automated Shared Bibliography Management
Supervisors: Denis Lalanne, Maximiliano Jeanneret Medina
Contact person: Maximiliano Jeanneret Medina (firstname.lastname@example.org)
Student: Looking for a student
Project status: Open
Managing a bibliography at a research group or an organization level is a tedious task. Even more when multiple authors store different metadata for the same bibliographic item. Managing shared bibliographies can be performed with a dedicated software, namely bibliographic or reference management software (RMS) . Mendeley, or Zotero  are commonly used. More generally, a RMS helps scholars organize their work, improve workflows and ultimately save time . Such tools provide numerous features such as data import, collaboration, metadata extraction, and duplicate checking . However, obtaining a clean bibliography, or maintaining several personalized bibliographies, requires manual tedious tasks performed by the researcher.
Managing bibliographic metadata related to publications of a research group can benefit from an authority source and (partial) automation. For example, ORCID (Open Researcher & Contributor ID) provide a registry of persistent unique identifiers for researchers and scholars, owned and controlled by them . Moreover, ORCID is integrated with CrossRef, thus offering complementary infrastructures for uniquely identifying researchers and enabling them to connect with their publications . The management of bibliographic information by the researcher reduces the risk of errors (e.g., reference ambiguity ), while the automated link with CrossRef allows an automatic population of the researcher’s bibliography [3, 5].
While numerous works investigated the adoption and the use of RMS , no study investigated the benefits of automatic, personalized, and shared bibliographic management. This project aims to implement a prototype to manage personalized bibliographies (e.g., per category, keywords, project) and an evaluation within a research group.
Keywords: bibliography management; reference management software; ORCID
- Provide a state-of-the-art on bibliography management
- Implement a prototype to manage and generates personalized bibliographies
- Evaluate the prototype
 Haak, L.L. et al. 2012. ORCID: A system to uniquely identify researchers. Learned Publishing. 25, 4 (Oct. 2012), 259–264. DOI:https://doi.org/10.1087/20120404.
 Kim, J. and Owen-Smith, J. 2021. ORCID-linked labeled data for evaluating author name disambiguation at scale. Scientometrics. 126, 3 (Mar. 2021), 2057–2083. DOI:https://doi.org/10.1007/s11192-020-03826-6.
 Nilashi, M. et al. 2019. An interpretive structural modelling of the features influencing researchers’ selection of reference management software. Journal of Librarianship and Information Science. 51, 1 (Mar. 2019), 34–46. DOI:https://doi.org/10.1177/0961000616668961.
 ORCID: 2022. https://orcid.org/. Accessed: 2022-05-09.
 Rempel, H.G. and Mellinger, M. 2015. Bibliographic Management Tool Adoption and Use: A Qualitative Research Study Using the UTAUT Model. Reference & User Services Quarterly. 54, 4 (2015), 43–53. DOI:https://doi.org/10.2307/refuseserq.54.4.43.