This article examines the contribution of SoDaNet research infrastructure’s Scientific Dictionary of Social Terms to empirical social research. The article records the dictionary functional specifications in regarding to terms, definitions and bibliographic records and analyzes the management issues in user access in relation to the basic functions (search, import, modification and deletion of digital content). In addition, the functions of the dictionary as a research planning tool are analyzed (providing opportunities to search for scientific information necessary to design a new research), conceptualization (providing access to the different meanings of a term through the different definitions given) and scientific documentation. Finally, the function of the dictionary as an element of a research infrastructure is evaluated.
{"title":"A tool to promote research planning and conceptualization: SoDaNet research infrastructure’s scientific dictionary of social terms","authors":"Ioannis Kallas, Dimitra Kondyli","doi":"10.29173/iq1021","DOIUrl":"https://doi.org/10.29173/iq1021","url":null,"abstract":"This article examines the contribution of SoDaNet research infrastructure’s Scientific Dictionary of Social Terms to empirical social research. The article records the dictionary functional specifications in regarding to terms, definitions and bibliographic records and analyzes the management issues in user access in relation to the basic functions (search, import, modification and deletion of digital content). In addition, the functions of the dictionary as a research planning tool are analyzed (providing opportunities to search for scientific information necessary to design a new research), conceptualization (providing access to the different meanings of a term through the different definitions given) and scientific documentation. Finally, the function of the dictionary as an element of a research infrastructure is evaluated.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45363558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suparna De, Harry Moss, Jon Johnson, Jenny Li, Haeron Pereira, Sanaz Jabbari
Data Documentation Initiative-Lifecycle (DDI-L) introduced a robust metadata model to support the capture of questionnaire content and flow, and encouraged through support for versioning and provenancing, objects such as BasedOn for the reuse of existing question items. However, the dearth of questionnaire banks including both question text and response domains has meant that an ecosystem to support the development of DDI ready Computer Assisted Interviewing (CAI) tools has been limited. Archives hold the information in PDFs associated with surveys but extracting that in an efficient manner into DDI-Lifecycle is a significant challenge. While CLOSER Discovery has been championing the provision of high-quality questionnaire metadata in DDI-Lifecycle, this has primarily been done manually. More automated methods need to be explored to ensure scalable metadata annotation and uplift. This paper presents initial results in engineering a machine learning (ML) pipeline to automate the extraction of questions from survey questionnaires as PDFs. Using CLOSER Discovery as a ‘training and test dataset’, a number of machine learning approaches have been explored to classify parsed text from questionnaires to be output as valid DDI items for inclusion in a DDI-L compliant repository. The developed ML pipeline adopts a continuous build and integrate approach, with processes in place to keep track of various combinations of the structured DDI-L input metadata, ML models and model parameters against the defined evaluation metrics, thus enabling reproducibility and comparative analysis of the experiments. Tangible outputs include a map of the various metadata and model parameters with the corresponding evaluation metrics’ values, which enable model tuning as well as transparent management of data and experiments.
{"title":"Engineering a machine learning pipeline for automating metadata extraction from longitudinal survey questionnaires","authors":"Suparna De, Harry Moss, Jon Johnson, Jenny Li, Haeron Pereira, Sanaz Jabbari","doi":"10.29173/iq1023","DOIUrl":"https://doi.org/10.29173/iq1023","url":null,"abstract":"Data Documentation Initiative-Lifecycle (DDI-L) introduced a robust metadata model to support the capture of questionnaire content and flow, and encouraged through support for versioning and provenancing, objects such as BasedOn for the reuse of existing question items. However, the dearth of questionnaire banks including both question text and response domains has meant that an ecosystem to support the development of DDI ready Computer Assisted Interviewing (CAI) tools has been limited. Archives hold the information in PDFs associated with surveys but extracting that in an efficient manner into DDI-Lifecycle is a significant challenge. \u0000While CLOSER Discovery has been championing the provision of high-quality questionnaire metadata in DDI-Lifecycle, this has primarily been done manually. More automated methods need to be explored to ensure scalable metadata annotation and uplift. \u0000This paper presents initial results in engineering a machine learning (ML) pipeline to automate the extraction of questions from survey questionnaires as PDFs. Using CLOSER Discovery as a ‘training and test dataset’, a number of machine learning approaches have been explored to classify parsed text from questionnaires to be output as valid DDI items for inclusion in a DDI-L compliant repository. \u0000The developed ML pipeline adopts a continuous build and integrate approach, with processes in place to keep track of various combinations of the structured DDI-L input metadata, ML models and model parameters against the defined evaluation metrics, thus enabling reproducibility and comparative analysis of the experiments. Tangible outputs include a map of the various metadata and model parameters with the corresponding evaluation metrics’ values, which enable model tuning as well as transparent management of data and experiments.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45051120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research data management is an umbrella term used to describe activities related to the creation, organisation, structuring, naming, backing up, storage, conservation, and sharing of research data as well as all actions that guarantee security of research data. As is often the case, researchers from Sub-Saharan Africa are lagging behind their counterparts in developed countries in embracing the best practices of research data management. One of the factors to which this slow pace of adoption of research data management could be attributed, is inadequate research on the subject. The purpose of this paper is to analyse the quantity, quality, visibility and authorship of publications on research data management in Sub-Saharan Africa. Bibliometrics approaches were used to analyse publications on research data management from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar. The index was chosen because it is free and is reputed to have liberal selection criteria which do not favour, or discriminate, any discipline or geographic regions. Data was retrieved from Google Scholar using Harzing’s “Publish or Perish” software and analysed using VOSviewer. The findings of the study revealed that the quantity, quality, visibility and authorship collaboration of scholarly publications on research data management in Sub-Saharan Africa is low. The findings may be used by libraries and research institutions in Sub-Saharan Africa to develop and promote best practices in research data management as a means of enhancing their research output and impact.
{"title":"Publishing trends on research data management in Sub-Saharan Africa: A bibliometrics analysis","authors":"T. Kwanya","doi":"10.29173/iq996","DOIUrl":"https://doi.org/10.29173/iq996","url":null,"abstract":"Research data management is an umbrella term used to describe activities related to the creation, organisation, structuring, naming, backing up, storage, conservation, and sharing of research data as well as all actions that guarantee security of research data. As is often the case, researchers from Sub-Saharan Africa are lagging behind their counterparts in developed countries in embracing the best practices of research data management. One of the factors to which this slow pace of adoption of research data management could be attributed, is inadequate research on the subject. The purpose of this paper is to analyse the quantity, quality, visibility and authorship of publications on research data management in Sub-Saharan Africa. Bibliometrics approaches were used to analyse publications on research data management from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar. The index was chosen because it is free and is reputed to have liberal selection criteria which do not favour, or discriminate, any discipline or geographic regions. Data was retrieved from Google Scholar using Harzing’s “Publish or Perish” software and analysed using VOSviewer. The findings of the study revealed that the quantity, quality, visibility and authorship collaboration of scholarly publications on research data management in Sub-Saharan Africa is low. The findings may be used by libraries and research institutions in Sub-Saharan Africa to develop and promote best practices in research data management as a means of enhancing their research output and impact.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49478778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to examine the growth of IR in the East Africa region (Tanzania, Kenya, and Uganda) from 2010-2020. This study adopted a content analysis methodology. Data for this study was extracted from OpenDOAR (Directory of Open Access Repository), ROAR (Registry of Open Access Repository) and repositories websites to identify the language used, subject covered, software used and types of content that are found in East African repositories. The findings of this study reveal that East Africa region had a total number of 66 repositories, which are registered in OpenDOAR. Kenya is a leading country in the region by having 42 repositories, followed by Tanzania with 14 repositories and Uganda have 10 repositories. The findings show that there is an increase number in the of repositories in the region from 4 in 2010 to 66 in 2020, however the growth is low compared to other parts of the world like Europe, Asia, and America. The study shows the need of librarians, researchers, stakeholders, and East Africa governments to come together to overcome the challenges that hinder the growth of repositories in the region. Mandate policies formulation, training, fund support, OA awareness and technical support are needed in overcoming those challenges. Keywords: Institutional Repository, Open Access, Content growth, Institutional Repository software, Items types, Institutional Repository language, and subject covered in repository, East Africa region.
{"title":"The development of institutional repositories in East Africa countries: A comparative analysis of Tanzania, Kenya, and Uganda","authors":"Joseph Mwalubanda","doi":"10.29173/iq1012","DOIUrl":"https://doi.org/10.29173/iq1012","url":null,"abstract":"This paper aims to examine the growth of IR in the East Africa region (Tanzania, Kenya, and Uganda) from 2010-2020. This study adopted a content analysis methodology. Data for this study was extracted from OpenDOAR (Directory of Open Access Repository), ROAR (Registry of Open Access Repository) and repositories websites to identify the language used, subject covered, software used and types of content that are found in East African repositories. The findings of this study reveal that East Africa region had a total number of 66 repositories, which are registered in OpenDOAR. Kenya is a leading country in the region by having 42 repositories, followed by Tanzania with 14 repositories and Uganda have 10 repositories. The findings show that there is an increase number in the of repositories in the region from 4 in 2010 to 66 in 2020, however the growth is low compared to other parts of the world like Europe, Asia, and America. The study shows the need of librarians, researchers, stakeholders, and East Africa governments to come together to overcome the challenges that hinder the growth of repositories in the region. Mandate policies formulation, training, fund support, OA awareness and technical support are needed in overcoming those challenges.\u0000Keywords: Institutional Repository, Open Access, Content growth, Institutional Repository software, Items types, Institutional Repository language, and subject covered in repository, East Africa region.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43393468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ‘Fourth Industrial Revolution’ (4IR) era characterized by ‘Information Communication Technology’ (ICT) based data literacy with respect to research data collection, documentation, preservation, intellectual protection / control and dissemination is a functional catalyst in enabling the realization of the SDGs of the United Nations (UN) global agenda on poverty reduction; hunger eradication; safe water accessibility, sustainable energy accessibility; ‘Sustainable Forest Management’ (SFM); climate change resilience; ‘Disaster Risk Reduction’ (DRR); biodiversity conservation and; social and gender equity by 2030. The study, employing a desk bound literature review research design, conceptualized that ‘ICT based digital data literacy’ (dependent variable) can ‘catalyze an enabling of the realization of the SDGs of the United Nations (UN) global agenda’ (independent variable), ‘inherent challenges’ (intervening variable) like poor internet infrastructure, digital data illiteracy and high-power costs among others notwithstanding. Global government ‘Ministries, Departments and Agencies (MDAs) are managing voluminous (big) digital data to support strategic decision making, policy implementation and operational optimization (monitoring and evaluation) towards realizing the SDGs. This requires effective competence (literacy) in digital data analytics to facilitate SDGs based data processing thereby enabling global government MDAs to accurately utilize data for policy implementation and decision making towards effectively realizing the SDGs. The study findings recommend a scaling up of digital data literacy and internet infrastructure development as well as power accessibility in especially developing countries among others.
{"title":"Data literacy integration into development agenda. A catalyst to achieving the Sustainable Development Goals (SDGs)","authors":"Tumuhairwe G. Kabatangare","doi":"10.29173/iq1003","DOIUrl":"https://doi.org/10.29173/iq1003","url":null,"abstract":"The ‘Fourth Industrial Revolution’ (4IR) era characterized by ‘Information Communication Technology’ (ICT) based data literacy with respect to research data collection, documentation, preservation, intellectual protection / control and dissemination is a functional catalyst in enabling the realization of the SDGs of the United Nations (UN) global agenda on poverty reduction; hunger eradication; safe water accessibility, sustainable energy accessibility; ‘Sustainable Forest Management’ (SFM); climate change resilience; ‘Disaster Risk Reduction’ (DRR); biodiversity conservation and; social and gender equity by 2030. The study, employing a desk bound literature review research design, conceptualized that ‘ICT based digital data literacy’ (dependent variable) can ‘catalyze an enabling of the realization of the SDGs of the United Nations (UN) global agenda’ (independent variable), ‘inherent challenges’ (intervening variable) like poor internet infrastructure, digital data illiteracy and high-power costs among others notwithstanding. Global government ‘Ministries, Departments and Agencies (MDAs) are managing voluminous (big) digital data to support strategic decision making, policy implementation and operational optimization (monitoring and evaluation) towards realizing the SDGs. This requires effective competence (literacy) in digital data analytics to facilitate SDGs based data processing thereby enabling global government MDAs to accurately utilize data for policy implementation and decision making towards effectively realizing the SDGs. The study findings recommend a scaling up of digital data literacy and internet infrastructure development as well as power accessibility in especially developing countries among others. ","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42880887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mzuzu University lost its Library as a result of a fire that took place on December 18, 2015. In response, the university established two processes to ensure the library services were not interrupted. The first process was to restore information services within six months by creating an interim Library. The second was to design a new library in collaboration with Virginia Tech’s School of Architecture and Design in the United States. A total of three conceptual designs were developed, from which Mzuzu University selected a final design. One key aspect of each conceptual design was a dedicated space for a data centre. The initial concept was that the data centre would support research activities at the University, within Malawi, and with international partners outside Malawi, such as Virginia Tech. This paper captures the anticipations and aspirations of the key stakeholders involved with the library design project at Mzuzu University in Malawi and Virginia Tech in the USA. Data were captured by a survey that was shared via email with 29 stakeholders. A total of 10 responded at Mzuzu University, and 12 responded at Virginia Tech. A key finding from the survey was the need to create clear plans for each aspect of the project to ensure the effective implementation of the data centre. Critical aspects to the project include staffing, equipment procurement, the management of the data centre, data literacy programming, and the long-term sustainability of the data centre. Developing a policy/process to guide the operations of the data centre was also found to be critical. The library construction began in February 2021 and is expected to end in February 2023. Having a clear plan for how the data centre could be operationalized will be essential to ensuring the centre is successful. The data centre will be a new facility for the university and this paper is a first step towards shaping the requirements of, and potential for, this new facility.
{"title":"Establishment of data centre at Mzuzu University: A survey of anticipations and aspirations of key project stakeholders","authors":"F. Majawa, R. Hall","doi":"10.29173/iq999","DOIUrl":"https://doi.org/10.29173/iq999","url":null,"abstract":"Mzuzu University lost its Library as a result of a fire that took place on December 18, 2015. In response, the university established two processes to ensure the library services were not interrupted. The first process was to restore information services within six months by creating an interim Library. The second was to design a new library in collaboration with Virginia Tech’s School of Architecture and Design in the United States. A total of three conceptual designs were developed, from which Mzuzu University selected a final design. One key aspect of each conceptual design was a dedicated space for a data centre. The initial concept was that the data centre would support research activities at the University, within Malawi, and with international partners outside Malawi, such as Virginia Tech. This paper captures the anticipations and aspirations of the key stakeholders involved with the library design project at Mzuzu University in Malawi and Virginia Tech in the USA. Data were captured by a survey that was shared via email with 29 stakeholders. A total of 10 responded at Mzuzu University, and 12 responded at Virginia Tech. A key finding from the survey was the need to create clear plans for each aspect of the project to ensure the effective implementation of the data centre. Critical aspects to the project include staffing, equipment procurement, the management of the data centre, data literacy programming, and the long-term sustainability of the data centre. Developing a policy/process to guide the operations of the data centre was also found to be critical. The library construction began in February 2021 and is expected to end in February 2023. Having a clear plan for how the data centre could be operationalized will be essential to ensuring the centre is successful. The data centre will be a new facility for the university and this paper is a first step towards shaping the requirements of, and potential for, this new facility.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42477412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article reports the results of a survey conducted between 16th November and 8th December 2020 among African data curators and data experts about different aspects of data sharing. The sample of respondents has been extracted from participants to the 1st IASSIST Africa Regional Workshop held on 11th -13th January 2021, Kampala, UGANDA and other data experts and practitioners. First, we recall the main results of a previous article published by IQ about the same argument in order to introduce the new survey. After that we analyse the new findings comparing them with the previous results, splitting the samples between Africans and not Africans.
{"title":"Differences in data-sharing attitudes and behaviours, extended version to African data curators and data management experts","authors":"F. Bonifacio, Winny Nekesa Akullo","doi":"10.29173/iq993","DOIUrl":"https://doi.org/10.29173/iq993","url":null,"abstract":"This article reports the results of a survey conducted between 16th November and 8th December 2020 among African data curators and data experts about different aspects of data sharing. The sample of respondents has been extracted from participants to the 1st IASSIST Africa Regional Workshop held on 11th -13th January 2021, Kampala, UGANDA and other data experts and practitioners. First, we recall the main results of a previous article published by IQ about the same argument in order to introduce the new survey. After that we analyse the new findings comparing them with the previous results, splitting the samples between Africans and not Africans.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44975632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Welcome to the special double issue of IASSIST Quarterly 2021 (IQ vol. 45(3-4) 2021). IASSIST is an acronym. You may think that the word is the contraction of the two words 'I assist'. In my mind, you are right! Whether the word IASSIST or the long explanation of seven words came first is the problem of the chicken and the egg. However, it is undisputed that when it is spelled out, the first I in IASSIST is for International. That has been so from its founding in 1974. Having IASSIST members in USA, Canada, and some (west) European countries was for a long time what we myopic westerners considered to be international. It is with great pleasure that IASSIST Quarterly now presents a double issue from a regional workshop in Africa. Even in 2021, it is only a small number of IASSIST's members who are from regions not part of the western world. However, having a special issue from the African region is an important contribution to making IASSIST truly international. The phrase 'think globally, act locally' is a good framing of the compressed word 'glocal'. This special issue was compiled by guest editors Winny Nekesa Akullo and Robert Stalone Buwule, and they were also behind the Africa Regional Workshop that took place at Makerere University (Kampala, Uganda) on January 11 to 13, 2021. Winny Nekesa Akullo works as Head, Library and Documentation Centre at Public Procurement and Disposal of Public Assets Authority in Uganda, and is the IASSIST Africa Regional Secretary. Robert Stalone Buwule is Senior Assistant Librarian at Kyambogo University, also in Uganda. The themes of the workshop addressed a world issue: 'Data Literacy as a catalyst for achieving Sustainable Development Goals (SDGs)'. Thus, global problems were addressed from a local viewpoint. Great thanks to Winny and Robert for their lead in the arrangement of the workshop and extra thanks to them for collecting, editing, and making the papers of the regional workshop available to us all, and for making the regional international and the local global. Enjoy the reading! Karsten Boye Rasmussen - December 2021
{"title":"IASSIST gone glocal","authors":"K. Rasmussen","doi":"10.29173/iq1025","DOIUrl":"https://doi.org/10.29173/iq1025","url":null,"abstract":"Welcome to the special double issue of IASSIST Quarterly 2021 (IQ vol. 45(3-4) 2021). \u0000IASSIST is an acronym. You may think that the word is the contraction of the two words 'I assist'. In my mind, you are right! Whether the word IASSIST or the long explanation of seven words came first is the problem of the chicken and the egg. However, it is undisputed that when it is spelled out, the first I in IASSIST is for International. That has been so from its founding in 1974. Having IASSIST members in USA, Canada, and some (west) European countries was for a long time what we myopic westerners considered to be international. It is with great pleasure that IASSIST Quarterly now presents a double issue from a regional workshop in Africa. Even in 2021, it is only a small number of IASSIST's members who are from regions not part of the western world. However, having a special issue from the African region is an important contribution to making IASSIST truly international. The phrase 'think globally, act locally' is a good framing of the compressed word 'glocal'.\u0000This special issue was compiled by guest editors Winny Nekesa Akullo and Robert Stalone Buwule, and they were also behind the Africa Regional Workshop that took place at Makerere University (Kampala, Uganda) on January 11 to 13, 2021. Winny Nekesa Akullo works as Head, Library and Documentation Centre at Public Procurement and Disposal of Public Assets Authority in Uganda, and is the IASSIST Africa Regional Secretary. Robert Stalone Buwule is Senior Assistant Librarian at Kyambogo University, also in Uganda.\u0000The themes of the workshop addressed a world issue: 'Data Literacy as a catalyst for achieving Sustainable Development Goals (SDGs)'. Thus, global problems were addressed from a local viewpoint. Great thanks to Winny and Robert for their lead in the arrangement of the workshop and extra thanks to them for collecting, editing, and making the papers of the regional workshop available to us all, and for making the regional international and the local global.\u0000Enjoy the reading!\u0000Karsten Boye Rasmussen - December 2021\u0000 ","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46136426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This special issue has nine papers selected from the Africa Regional Workshop at Makerere University (Kampala, Uganda) on January 11th to 13th 2021. The first two papers relate to Research Data Management (RDM). The first one analyses the authorship, volume, visibility, and quality of publications on RDM in Sub-Saharan Africa. The analysis was done using bibliometrics focusing on RDM publications from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar. The second article presents available open RDM resources for different data practitioners, particularly researchers and librarians at the University of Dodoma, in Tanzania. Some of the RDM resources discussed in this paper are Data Management Plan (DMP) and a data repository available for researchers to freely archive and share their research data with the local and international communities. The third paper highlights the data-sharing attitudes and behaviors of African data curators and data management experts. The paper compares data from an earlier study and analyses the new findings between the data sharing attitudes and behaviors between Africans and non-Africans. The fourth paper articulates the data literacy integration agenda and how it can catalyze the achievement of Sustainable development goals. The paper unpacks the role of data literacy in catalyzing the achievement of the Sustainable Development Goals (SDGs), challenges faced, and suggests recommendations to the challenges. It is however sad to note here that the author of this paper recently passed on 15th December 2021. May the good lord accord Gorreti an eternal rest. The fifth paper discourses the establishment of a data center at Mzuzu University Library in Malawi after the unfortunate fire outbreak of 2015 that destroyed the whole library. Interesting models are drawn in the paper like; the six-month process of restoring an interim library and the designing & construction of the new library in collaboration with the Virginia Technological School of Architecture & Design in the United States. The sixth paper goes further to examine the growth and development of institutional repositories in the East African Countries of Kenya, Tanzania and Uganda. The paper contextualizes and discusses in detail the drivers and barriers to the development of institutional repositories in East Africa such as: policy formulation, financial support, training, infrastructure, open access awareness among others. The seventh paper focuses on the learning outcomes in literacy and numeracy in Uganda in the light of maternal education. In this paper, deeper analysis was conducted on the data mined from the Uwezo assessment data to show the effect of the mothers’ education on the numeracy and literacy learning outcomes among children in Uganda. The eighth paper illuminates the opportunities and risks of sharing agricultural research data in Tanzania. Stimulating themes on sharing of research data are developed and discussed in this
{"title":"Guest editors' notes","authors":"Winny Nekesa Akullo, R. S. Buwule","doi":"10.29173/iq1026","DOIUrl":"https://doi.org/10.29173/iq1026","url":null,"abstract":"This special issue has nine papers selected from the Africa Regional Workshop at Makerere University (Kampala, Uganda) on January 11th to 13th 2021.\u0000The first two papers relate to Research Data Management (RDM). The first one analyses the authorship, volume, visibility, and quality of publications on RDM in Sub-Saharan Africa. The analysis was done using bibliometrics focusing on RDM publications from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar.\u0000The second article presents available open RDM resources for different data practitioners, particularly researchers and librarians at the University of Dodoma, in Tanzania. Some of the RDM resources discussed in this paper are Data Management Plan (DMP) and a data repository available for researchers to freely archive and share their research data with the local and international communities. \u0000The third paper highlights the data-sharing attitudes and behaviors of African data curators and data management experts. The paper compares data from an earlier study and analyses the new findings between the data sharing attitudes and behaviors between Africans and non-Africans.\u0000The fourth paper articulates the data literacy integration agenda and how it can catalyze the achievement of Sustainable development goals. The paper unpacks the role of data literacy in catalyzing the achievement of the Sustainable Development Goals (SDGs), challenges faced, and suggests recommendations to the challenges. It is however sad to note here that the author of this paper recently passed on 15th December 2021. May the good lord accord Gorreti an eternal rest.\u0000The fifth paper discourses the establishment of a data center at Mzuzu University Library in Malawi after the unfortunate fire outbreak of 2015 that destroyed the whole library. Interesting models are drawn in the paper like; the six-month process of restoring an interim library and the designing & construction of the new library in collaboration with the Virginia Technological School of Architecture & Design in the United States.\u0000The sixth paper goes further to examine the growth and development of institutional repositories in the East African Countries of Kenya, Tanzania and Uganda. The paper contextualizes and discusses in detail the drivers and barriers to the development of institutional repositories in East Africa such as: policy formulation, financial support, training, infrastructure, open access awareness among others.\u0000The seventh paper focuses on the learning outcomes in literacy and numeracy in Uganda in the light of maternal education. In this paper, deeper analysis was conducted on the data mined from the Uwezo assessment data to show the effect of the mothers’ education on the numeracy and literacy learning outcomes among children in Uganda.\u0000The eighth paper illuminates the opportunities and risks of sharing agricultural research data in Tanzania. Stimulating themes on sharing of research data are developed and discussed in this ","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48272511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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