Results 1 to 10 of about 1,341,301 (290)

Introducing the FAIR Principles for research software [PDF]

Scientific Data, 2022
Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist.
Michelle Barker, Neil P. Chue Hong, Daniel S. Katz, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos, Jennifer Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, Tom Honeyman   +10 more
doaj   +3 more sources

Applying the FAIR Principles to computational workflows [PDF]

Scientific Data
Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity and reproducibility that also democratize access to platforms and processing know-how.
Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno de Paula Kinoshita, Luiz Gadelha, Daniel Garijo, Ove Johan Ragnar Gustafsson, Nick Juty, Sehrish Kanwal, Farah Zaib Khan, Johannes Köster, Karsten Peters-von Gehlen, Line Pouchard, Randy K. Rannow, Stian Soiland-Reyes, Nicola Soranzo, Shoaib Sufi, Ziheng Sun, Baiba Vilne, Merridee A. Wouters, Denis Yuen, Carole Goble   +22 more
doaj   +6 more sources

Are the FAIR Data Principles fair?

International Journal of Digital Curation, 1970
This practice paper describes an ongoing research project to test the effectiveness and relevance of the FAIR Data Principles. Simultaneously, it will analyse how easy it is for data archives to adhere to the principles.
Alastair Dunning, Madeleine de Smaele, Jasmin Böhmer   +2 more
doaj   +5 more sources

FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles [PDF]

Scientific Data
In recent Datascience and AI studies, multimodality has become a key principle for achieving more accurate and dependable results. Managing multimodal data requires specialized platforms and structures to handle diverse data types from single subjects ...
Seyed Mohammad Mirhosseini, Hoda Naseri, Bahaareh Siahlou, Mehran Panahi Arasi, Saeid Monazami Eslami, Ali Asghar Safaei   +5 more
doaj   +2 more sources

Towards FAIR principles for research software

Data Science, 2020
The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines.
Anna-Lena Lamprecht, Leyla Garcia, Mateusz Kuzak, Carlos Martinez, Ricardo Arcila, Eva Martin Del Pico, Victoria Dominguez Del Angel, Stephanie van de Sandt, Jon Ison, Paula Andrea Martinez, Peter McQuilton, Alfonso Valencia, Jennifer Harrow, Fotis Psomopoulos, Josep Ll. Gelpi, Neil Chue Hong, Carole Goble, Salvador Capella-Gutierrez   +17 more
doaj   +10 more sources

Harnessing the power of FAIR data to advance sex/gender insights in psychotraumatology [PDF]

European Journal of Psychotraumatology
Background: Sex and gender impact trauma exposure, as well as trauma-related outcomes and treatment efficacy. Still, knowledge about the extent of these sex/gender differences, as well as the distinct mechanisms that contribute towards these differences ...
Stephanie Haering, Mirjam Van Zuiden
doaj   +2 more sources

FAIR principles and the IEDB: short-term improvements and a long-term vision of OBO-foundry mediated machine-actionable interoperability. [PDF]

Database (Oxford), 2018
The Immune Epitope Database (IEDB), at www.iedb.org, has the mission to make published experimental data relating to the recognition of immune epitopes easily available to the scientific public.
Vita R, Overton JA, Mungall CJ, Sette A, Peters B.   +4 more
europepmc   +4 more sources

FIPs and Practice [PDF]

Research Ideas and Outcomes, 2022
There is no doubt that FAIR Data and Services (GO FAIR Foundation 2019b) are needed to enable data intensive research and innovation. While the FAIR Guiding Principles (Wilkinson et al.
Barbara Magagna, Erik Schultes, Marek Suchánek, Tobias Kuhn   +3 more
doaj   +3 more sources

An Investigation on University Libraries' Service in Promoting the Implementation of FAIR Data Management Principles [PDF]

Nongye tushu qingbao xuebao, 2022
[Purpose/Significance] The FAIR principles, as a guideline for research data management, has been widely recognized and actively applied in the field of scientific research since it was proposed.
XING Wenming, LIU Wo
doaj   +1 more source

Research Progress and Implementation of FAIR Principles for Scientific Data Management [PDF]

Nongye tushu qingbao xuebao, 2022
[Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results.
CHEN Shuxian, LIU Guifeng, LIU Qiong
doaj   +1 more source