Between administration and research: Understanding data management practices in an institutional context
TLDR
The results of an institutional survey at a medium‐sized Austrian university with a STEM focus are presented to give an overview of the state of RDM practices across faculties and disciplinary contexts, extending the state‐of‐the‐art on R DM practices by combining in‐depth qualitative material with quantified, detailed data.Abstract:
Research Data Management (RDM) promises to make research outputs more transparent, findable, and reproducible. Strategies to streamline data management across disciplines are of key import...read more
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科研数据共享的挑战 (The Conundrum of Sharing Research Data)
TL;DR: Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: to reproduce or to verify research, to make results of publicly funded research available to the public, to enable others to ask new questions of extant data, and to advance the state of research and innovation.
Big data, little data, no data : scholarship in the networkedworld
TL;DR: Borgman as discussed by the authors argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure, an ecology of people, practices, technologies, institutions, material objects, and relationships.
Posted Content
What Drives Academic Data Sharing
TL;DR: In this article, the authors developed a conceptual framework that explains the process of data sharing from the primary researcher's point of view, which can be divided into six descriptive categories: data donor, research organization, research community, norms, data infrastructure, and data recipients.
Journal ArticleDOI
Evaluation of Research Data Management (RDM) services in academic libraries of India: A triangulation approach
TL;DR: In this article , the authors evaluated the current status of the adaptation of RDS or RDM services in Indian academic libraries (which includes a total of 186 institutions, including all of India's Central Universities (54) and Institutes of National Importance (132)).
References
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Journal ArticleDOI
The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan-Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
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From core referencing to data re-use: two French national initiatives to reinforce paleodata stewardship (National Cyber Core Repository and LTER France Retro-Observatory)
Fabien Arnaud,Cécile Pignol,Pierre Stéphan,Anne-Lise Develle,Pierre Sabatier,Olivier Evrard,Brice Mourier,Maxime Debret,Cécile Grobois,Laurent Millet,Damien Rius,Dominique Marguerie,Mathias Rouan,Elodie Godinho,Bruno Galabertier,Arnaud Caillo +15 more
TL;DR: ROZA was developed under the umbrella of LTER-France (Long Term Ecological Research) in order to facilitate the re-use of data and samples and will favor to use of paleodata by non-paleodata scientists, in particular ecologists.
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Theory Construction in Qualitative Research From Grounded Theory to Abductive Analysis
Stefan Timmermans,Iddo Tavory +1 more
TL;DR: The authors argue that abduction, rather than induction, should be the guiding principle of empirically based theory construction, which is based on the theory of inference, meaning, and action of pragmatist philosopher Charles S. Peirce.
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Data Sharing by Scientists: Practices and Perceptions
Carol Tenopir,Suzie Allard,Kimberly Douglass,Arsev Umur Aydinoglu,Lei Wu,Eleanor Read,Maribeth Manoff,Mike Frame +7 more
TL;DR: Large scale programs, such as the NSF-sponsored DataNET will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.
Journal ArticleDOI
Sharing Detailed Research Data Is Associated with Increased Citation Rate
TL;DR: This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
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