Open Science Capacity Building Index

This index for Open Science capacity building is designed to connect you to existing resources to foster learning about open science as well as to support teaching open science. The content was collected by means of an open survey launched in 2022 and with input from the UNESCO Working Group on Open Science Capacity Building

Re-using and repurposing other people's data
Reanalysing secondary data collected by other researchers to address new questions is a wellestablished economical and timesaving research practice in the social sciences that fits well with open science goals Key types of data include consortium research projects using crossnational surveys standardized data from international organizations wellrespected databases from individual research teams checked for consistency over time or across areas metrics data and oneoff datasets deposited by individual researchers or teams in data archives Yet reusing any data collected by others for new and different purposes can entail compromises Question wordings in surveys or categoriesconcepts in official statistics may only partly capture the phenomena in which you are interested Mashing data from different sources or across different units or periods can be tricky And for individual deposited datasets or constructed metrics clarifying how the data was originally created and cleaning it so that it can be fully understood can be nontrivial tasks This session examines how to develop research questions for reusing and mashing data how to work with the limitations of secondary data sources and how novel insights can be gained from bringing datasets together This event was part of a series of seminars organised to support the development of the?
    Target audience:
    Early career professionals
    Researchers
    STEM students
    Category:
    Open research data
    Open scientific knowledge
    Type of Resources:
    Recording of a past event (workshop, webinar, etc.)
Open social science principles in systematic documentation analysis
Alongside case studies and interviews documentation analysis and review of varying kinds and levels of sophistication forms one of the top three parts of qualitative social science In this session Professor Patrick Dunleavy and Dr Timothy Monteath focused on contemporary or fully publicly available document and text sources where access for replication purposes is feasible and where a full set of documents can be read or sampled Thus their scope included?a vast range of government parliamentary public policy subnational government documentation especially available under freedom of information plus publicly available documentation of corporations firms and NGOs and a wide range of media outputs in textdocument or other formats They reserved discussion documents in formal archives with restrictive access needing specialist skills such as many historical archives for a later session Open social science aims to enhance the confidence that readers can respond in the presentation and interpretation of documentary evidence strengthening the replicability robustness and generalizability of studies using this key methods tool Key steps include Strengthening the systematic nature of documentation identification search and summarization via content analysis and QCAsetbased methods Developing improved quantitative summaries of documentation contents and memes Making more evidence crucial for qualitative judgements accessible for inspection or counterinterpretation Prespecifying hypotheses and propositions and narratively recording the evolution of analyses or interpretations Making more explicit and stresstesting the posited links between particular evidence and analytic judgements Complementing open social science approaches for interviewbased research see?here and case studies forthcoming This event was part of a series of workshops organised to support the development of the?CIVICA Research Open Science Handbook for the Social Sciences
    Target audience:
    Citizens & citizen scientists
    Early career professionals
    Researchers
    STEM students
    Category:
    Open research data
    Open scientific knowledge
    Type of Resources:
    Recording of a past event (workshop, webinar, etc.)
How can interview-based social science become more open?
Implementing open social science OSS innovations focuses in large part on showing more of the concrete evidence that underpins analysis of findings and researchers conclusions and arguments Many commentators have cast doubt on how far OSS approaches can be applied in qualitative research suggesting that only limited openness can be achieved especially where a large part of the evidencebase comes from qualitative interviews Some forms of interviews aiming to recover the lifeworld of interviewees as a whole and as they see it may be feasible to do on a fully on the record basis where archiving of whole transcripts or recordings is feasible with the permission of interviewees By contrast for elite and specialized interviewing and conversations are off the record then transcripts and recordings cannot be archived or shared with other researchers However most such interviews are now conducted on a nonattributable basis where direct quotations are allowed so long as they are completely anonymized With care it may be feasible to achieve nonstraightforward ways of archiving or allowing reaccess to such materials Finally changes in interview technologies towards using digital methods have opened up new ways of conducting and making available interviewing that might begin to approximate systematic podcasting or videocasting interviews This event was part of a series of seminars?organised to support the development of the?
    Target audience:
    Citizens & citizen scientists
    Early career professionals
    Researchers
    STEM students
    Category:
    Open science and engagement of societal actors
    Open science and intellectual property rights
    Open scientific knowledge
    Type of Resources:
    Recording of a past event (workshop, webinar, etc.)