Open research data in African academic and research libraries: a literature analysis

Chiware, Elisha Rt

doi:10.1108/lm-02-2020-0027

Cited by 15 publications

(15 citation statements)

References 41 publications

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“…The slow growth rate may be associated with factors such as limited ICT infrastructure to manage research data, concern about data scooping upon sharing, lack of skills, among others (Nelson, 2009 ). Moreover, research data management services are still in their infancy in Africa (Chiware, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

Open Science in Kenya: Where Are We?

Mwangi

Mainye²,

Ouso

et al. 2021

Front. Res. Metr. Anal.

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According to the United Nations Educational, Scientific, and Cultural Organization (UNESCO), Open Science is the movement to make scientific research and data accessible to all. It has great potential for advancing science. At its core, it includes (but is not limited to) open access, open data, and open research. Some of the associated advantages are promoting collaboration, sharing and reproducibility in research, and preventing the reinvention of the wheel, thus saving resources. As research becomes more globalized and its output grows exponentially, especially in data, the need for open scientific research practices is more evident — the future of modern science. This has resulted in a concerted global interest in open science uptake. Even so, barriers still exist. The formal training curriculum in most, if not all, universities in Kenya does not equip students with the knowledge and tools to subsequently practice open science in their research. Therefore, to work openly and collaboratively, there is a need for awareness and training in the use of open science tools. These have been neglected, especially in most developing countries, and remain barriers to the cause. Moreover, there is scanty research on the state of affairs regarding the practice and/or adoption of open science. Thus, we developed, through the OpenScienceKE framework, a model to narrow the gap. A sensitize-train-hack-collaborate model was applied in Nairobi, the economic and administrative capital of Kenya. Using the model, we sensitized through seminars, trained on the use of tools through workshops, applied the skills learned in training through hackathons to collaboratively answer the question on the state of open science in Kenya. While the former parts of the model had 20–50 participants, the latter part mainly involved participants with a bioinformatics background, leveraging their advanced computational skills. This model resulted in an open resource that researchers can use to publish as open access cost-effectively. Moreover, we observed a growing interest in open science practices in Kenya through literature search and data mining and that lack of awareness and skills may still hinder the adoption and practice of open science. Furthermore, at the time of the analyses, we surprisingly found that out of the 20,069 papers downloaded from BioRXiv, only 18 had Kenyan authors, a majority of which are international (16) collaborations. This may suggest poor uptake of the use of preprints among Kenyan researchers. The findings in this study highlight the state of open science in Kenya and challenges facing its adoption and practice while bringing forth possible areas for primary consideration in the campaign toward open science. It also proposes a model (sensitize-train-hack-collaborate model) that may be adopted by researchers, funders and other proponents of open science to address some of the challenges faced in promoting its adoption in Kenya.

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Section: Resultsmentioning

confidence: 99%

Open Science in Kenya: Where Are We?

Mwangi

Mainye²,

Ouso

et al. 2021

Front. Res. Metr. Anal.

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“…Data sharing and open data movements are gaining momentum globally [26,32,64,100], including in the context of the African continent [13,25,34,34]. Some of this push within the continent comes from funding agencies and government requests for researchers to archive and share data, including open data portals from countries such as Kenya, Ghana, Nigeria, and South Africa [2,23,42,53].…”

Section: Background and Related Workmentioning

confidence: 99%

“…In one of the key gatherings in 2018, various stakeholders and government officials from Botswana, Ethiopia, Kenya, Madagascar, South Africa, and Uganda discussed and formulated national policies [122]. With increased demand for statistical data across many African countries, many data organisations have been established to promote data accessibility and open data [8,24,34,100,128]. For instance, the African Development Bank Group developed a statistical open data portal known as Africa Information Highway (AIH) portal [46].…”

Section: Background and Related Workmentioning

confidence: 99%

“…Despite extensive calls for data sharing and open data, backed by various initiatives and organizations, data access remains relatively limited within the continent [34,43,113,119]. Bangani and Moyo [18], for example, compare data sharing practices among researchers in South Africa to researchers in countries such as France, the United Kingdom, and Turkey.…”

Section: Background and Related Workmentioning

confidence: 99%

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Narratives and Counternarratives on Data Sharing in Africa

Abebe

Aruleba

Birhane

et al. 2021

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

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As machine learning and data science applications grow ever more prevalent, there is an increased focus on data sharing and open data initiatives, particularly in the context of the African continent. Many argue that data sharing can support research and policy design to alleviate poverty, inequality, and derivative effects in Africa. Despite the fact that the datasets in question are often extracted from African communities, conversations around the challenges of accessing and sharing African data are too often driven by non-African stakeholders. These perspectives frequently employ a deficit narratives, often focusing on lack of education, training, and technological resources in the continent as the leading causes of friction in the data ecosystem.We argue that these narratives obfuscate and distort the full complexity of the African data sharing landscape. In particular, we use storytelling via fictional personas built from a series of interviews with African data experts to complicate dominant narratives and to provide counternarratives. Coupling these personas with research on data practices within the continent, we identify recurring barriers to data sharing as well as inequities in the distribution of data sharing benefits. In particular, we discuss issues arising from power imbalances resulting from the legacies of colonialism, ethno-centrism, and slavery, disinvestment in building trust, lack of acknowledgement of historical and present-day extractive practices, and Western-centric policies that are ill-suited to the African context. After outlining these problems, we discuss avenues for addressing them when sharing data generated in the continent. CCS CONCEPTS• Computing methodologies → Artificial intelligence; • Social and professional topics → Government technology policy.

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“…Hasil telaah literatur tentang peran perpustakaan dalam gerakan open data penelitian diasajikan pada tabel 3 berikut. Chiware (2020) mengatakan bahwa peran perpustakaan akademik dan penelitian di masa depan dalam mengelola data penelitian terbuka haruslah dibingkai dalam konteks sains terbuka yang lebih luas. Dari poin tersebut menunjukkan bahwa ada empat bidang yang harus dikelola perpustakaan untuk mendukung ilmu pengetahuan terbuka, yaitu akses terbuka dan penerbitan akses terbuka, RDM, infrastruktur e research dan zitizen science.…”

Section: Peran Perpustakaan Dalam Gerakan Open Data Penelitianunclassified

Kebijakan Open Data Penelitian dalam Membangun Komunikasi Ilmiah di Perpustakaan Lembaga Riset

Tupan¹

2021

TIK

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A study was conducted on the role of research institute libraries in supporting open data research policies to improve scientific communication. The study aims to determine the role of libraries in open data research policies to improve scientific communication, and determine the role of libraries in relation to the open data research movement in building scientific communication. The research was conducted using the narrative review method, which is research that is carried out looking for articles related to the study of the role of research institutes libraries in open data research policies to improve scientific communication. namely data management plans and research data sharing processes, ensuring the data can be accessed, storing data in repositories and ensuring data can be accessed within a certain period of time. Libraries are the pioneers of the open data research movement by providing consultancy services for data analysis, research data mining, data curation services, data analysis and visualization, and saving research data over a long period of time. The main support provided by the library in building scientific communication is to create meta data and store data in repositories. Provide training in the management and storage of research data for researchers with the aim that the resulting research data can be used and disseminated for further research

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Open research data in African academic and research libraries: a literature analysis

Cited by 15 publications

References 41 publications

Open Science in Kenya: Where Are We?

Open Science in Kenya: Where Are We?

Narratives and Counternarratives on Data Sharing in Africa

Kebijakan Open Data Penelitian dalam Membangun Komunikasi Ilmiah di Perpustakaan Lembaga Riset

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