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These Policy Guidelines on Open Science & Open Data are an output of NIHR Global Health Research Unit on Respiratory Health (RESPIRE) Supporting Platform III: ‘Open Science, Data and Methodologies.’ They were developed primarily to support FAIR data and other Open Science activities among RESPIRE research partners in seven Southeast Asian countries: viz. Bangladesh, Bhutan, India, Indonesia, Malaysia, Pakistan and Sri Lanka; along with the UK.
Beyond this immediate objective, the authors have attempted to provide guidance for the adoption of Open Science principles and practices in large international collaborations, particularly when those collaborations are driven by researchers in low- and middle-income countries (LMICs). As such, the Guidelines are intended to be a reference tool for researchers seeking to engaging with research partners, stakeholders, and their communities in LMICs.
Drawing on the first-hand experience of its principal author, the Guidelines account for issues relating specifically to respiratory health research in LMICs, including basic differences in resource and equipment availability. Guidance and advice are, therefore, geared towards addressing such issues at the most practical level. In addition to providing a framework for open research practices, the Guidelines also address in detail key ethical and legal issues around safeguarding personal and sensitive health data, both in the field and in LMIC institutions. The Guidelines include summary information of data protection legislation in all the RESPIRE partner countries, how this legislation aligns with UK/EU GDPR, and issues arising.
Angelaki, M. (2021) Model policy on open science for research performing organisations (RPOs). Zenodo. Available at: https://doi.org/10.5281/zenodo.4666050.
Carroll, S., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., Parsons, M., Raseroka K., Rodriguez-Lonebear, D., Rowe R., Sara, R., Walker, J. D., Anderson J., and Hudson M. (2020) ‘The CARE principles for Indigenous data governance’, Data Science Journal, 19: XX. Available at: https://doi.org/10.5334/dsj-2020-043.
Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., and McGillivray, B. (2020) ‘The citation advantage of linking publications to research data’, PLOS ONE, 15(4), e0230416. Available at: https://doi.org/10.1371/journal.pone.0230416.
Masuzzo, P. and Martens, L. (2017) ‘Do you speak open science? Resources and tips to learn the language’, Peer J Preprints, 5:e2689v1. Available at: https://doi.org/10.7287/peerj.preprints.2689v1.
Mohanty, T. K., Smith, S., Bhattacharjee, T., Weir, C. J., and Norrie, J.; RESPIRE Collaboration. (2025) ‘Open science policy guidelines promoting open data sharing in low and middle-income countries for respiratory health research under NIHR Global RESPIRE project’, Journal of Global Health. Available at: https://doi.org/10.7189/jogh.15.03021.
Staunton, C., Barragán, C.A., Canali, S. Ho, C., Leonelli, S., Mayernik, M., Prainsack, B., and Wonkham, A. (2021) ‘Open science, data sharing and solidarity: who benefits?’, History and Philosophy of the Life Sciences, 43, 115. Available at: https://doi.org/10.1007/s40656-021-00468-6.
Wiebe, A. and Dietrich, N. (eds.) (2017) Open data protection study on legal barriers to open data sharing – data protection and PSI. Universitätsverlag Göttingen. Available at: https://univerlag.uni-goettingen.de/bitstream/handle/3/isbn-978-3-86395-334-8/wiebe_data%20protection.pdf

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