Tools that Encourage Criticism - Leiden University Symposium on Tools CriticismMarijn Koolen
The use of research tools in digital humanities requires critical reflection by the researcher, but also by developers of tools and research infrastructure.
A hands-on approach to digital tool criticism: Tools for (self-)reflectionMarijn Koolen
Digital tool criticism is a recent and important discussion in Digital Humanities research. We define digital tool criticism as the reflection on the role of digital tools in the research methodology and the evaluation of the suitability of a given digital tool for a specific research goal. The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve a tool’s performance. That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods, interpretations and outcomes. Our goal with developing digital tool criticism as a method is to help scholars better understand how research methods, tools and activities shape our interpretations. Based on our experiences with two hands-on workshops on digital tool criticism, we find that reflection on using digital tools and data in all phases of the research process is key.
Reflection urges scholars to consider digital data and tools as part of the overall research goals and design, and interdependent with other elements of research design, namely research questions and methods. As scholars go through their research process, assumptions on the research design and the connection between tools, data and questions are constantly challenged, forcing updates in the design and the interpretation of data and question.
Data Scopes - Towards transparent data research in digital humanities (Digita...Marijn Koolen
Data scopes describe the process of data gathering, cleaning and combining in digital humanities research, which is too often considered as mere preparation that is not part of research, and is mostly not described in scholarly communications. We argue that scholars need to be more aware of the intellectual effort of this process and make it more transparent
Creating Effective Data Visualizations for Online Learning Shalin Hai-Jew
Virtually every type of online learning involves some type of data visualization. Some common data visualizations include timelines, process diagrams, linegraphs, bar charts, pie charts, treemap diagrams, dendrograms, cluster diagrams, geographical maps, network graphs, word clouds, word networks, scatter diagrams, scatterplot matrices, intensity matrices, decision trees, and others. Indeed, there is also data in screenshots, photos, drawings, videos, or other types of visuals. Online dashboards contain rich data visualizations to convey dynamic data. Some data, such as big data, may only be conveyed in visuals for human understanding and interpretation; in raw form, the meaning is obscured and elusive. Data visualizations highlight salient aspects of data, and they have to be aligned for particular multi-uses: (1) user awareness and understanding, (2) data analytics, and (3) decision-making. This session defines some best practices for informative and engaging data visualizations for online learning. Original real-world examples are provided from modern software programs.
Matrix Queries and Matrix Data Representations in NVivo 11 PlusShalin Hai-Jew
This slideshow, "Matrix Queries and Matrix Data Representations in NVivo 11 Plus," covers the following points:
Matrices and their basic structures
Types of elements (variables) for matrix comparisons
Setting up matrix queries in NVivo 11
Specific matrix “use cases” in qualitative and mixed methods research
Wrap-up
Tools that Encourage Criticism - Leiden University Symposium on Tools CriticismMarijn Koolen
The use of research tools in digital humanities requires critical reflection by the researcher, but also by developers of tools and research infrastructure.
A hands-on approach to digital tool criticism: Tools for (self-)reflectionMarijn Koolen
Digital tool criticism is a recent and important discussion in Digital Humanities research. We define digital tool criticism as the reflection on the role of digital tools in the research methodology and the evaluation of the suitability of a given digital tool for a specific research goal. The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve a tool’s performance. That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods, interpretations and outcomes. Our goal with developing digital tool criticism as a method is to help scholars better understand how research methods, tools and activities shape our interpretations. Based on our experiences with two hands-on workshops on digital tool criticism, we find that reflection on using digital tools and data in all phases of the research process is key.
Reflection urges scholars to consider digital data and tools as part of the overall research goals and design, and interdependent with other elements of research design, namely research questions and methods. As scholars go through their research process, assumptions on the research design and the connection between tools, data and questions are constantly challenged, forcing updates in the design and the interpretation of data and question.
Data Scopes - Towards transparent data research in digital humanities (Digita...Marijn Koolen
Data scopes describe the process of data gathering, cleaning and combining in digital humanities research, which is too often considered as mere preparation that is not part of research, and is mostly not described in scholarly communications. We argue that scholars need to be more aware of the intellectual effort of this process and make it more transparent
Creating Effective Data Visualizations for Online Learning Shalin Hai-Jew
Virtually every type of online learning involves some type of data visualization. Some common data visualizations include timelines, process diagrams, linegraphs, bar charts, pie charts, treemap diagrams, dendrograms, cluster diagrams, geographical maps, network graphs, word clouds, word networks, scatter diagrams, scatterplot matrices, intensity matrices, decision trees, and others. Indeed, there is also data in screenshots, photos, drawings, videos, or other types of visuals. Online dashboards contain rich data visualizations to convey dynamic data. Some data, such as big data, may only be conveyed in visuals for human understanding and interpretation; in raw form, the meaning is obscured and elusive. Data visualizations highlight salient aspects of data, and they have to be aligned for particular multi-uses: (1) user awareness and understanding, (2) data analytics, and (3) decision-making. This session defines some best practices for informative and engaging data visualizations for online learning. Original real-world examples are provided from modern software programs.
Matrix Queries and Matrix Data Representations in NVivo 11 PlusShalin Hai-Jew
This slideshow, "Matrix Queries and Matrix Data Representations in NVivo 11 Plus," covers the following points:
Matrices and their basic structures
Types of elements (variables) for matrix comparisons
Setting up matrix queries in NVivo 11
Specific matrix “use cases” in qualitative and mixed methods research
Wrap-up
Because of your generous donations, your fundraising and your commitment, HHUGS families got through the Winter chill. HHUGS distributed £170,488.17 and provided Winter campaign support to 59 families, 125 adults and 108 children.
The Shopping cart is mainly useful for who haven’t time to go to shopping, those are just entered into this website and bought what ever they want. Even it is night or morning they entered into this site, and chosen different items like fruits, books, toys etc.. ‘Customer is our god’ mainly this website is based on this formula. After chosen items he bought into Pay pal process like VISA or MASTER credit cards or any Debit cards are accepted in this website. Customer is happily shopping at his rest place.
Slides from NITLE Digital Scholarship Seminar: National Perspective, Jennifer Serventi, Senior Program Officer, Office of Digital Humanities, National Endowment for the Humanities
Learning design and data analytics: from teacher communities to CSCL scriptsdavinia.hl
Open Seminar at the University of Oulu, 4th Dec. 2018
http://www.oulu.fi/koulutusteknologia/node/56057
Learning design and data analytics: from teacher communities to computer-supported collaborative learning scripts
Presenter: Davinia Hernández-Leo, Associate Professor, Information and Communication Technologies Department, University Pompeu Fabra, Barcelona
Brief description: I will present an overview of the educational technologies research conducted by the TIDE research group of the Information and Communication Technologies Department at Universitat Pompeu Fabra in Barcelona (http://www.upf.edu/web/tide @TIDE_UPF). The overview will be articulated around the perspective, central to TIDE work, of supporting teachers and teacher communities (e.g a school) in the design of the best possible (technology-enhanced) learning activities considering their students and their contexts. Main research contributions that will be presented include a community platform for integrated learning design (ILDE, including multiple authoring tools e.g. edCrumble), scalable and flexible orchestration of computer-supported collaborative learning scripts (PyramidApp), and the use of data analytics at different levels (learning, design, community) to support teachers in learning (re)design. The presentation will include results of European, Spanish and Catalan projects (METIS, RESET, CoT) and our initial work in recently started projects (SmartLET, Illuminated).
Hernández-Leo, D., et al. (available online) Analytics for learning design: A layered framework and tools, British Journal of Educational Technology. https://doi.org/10.1111/bjet.12645
Hernández-Leo, D., et al. (2018). An Integrated Environment for Learning Design. Frontiers in ICT, 5, 9. doi: 10.3389/fict.2018.00009
Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85, 255-270. https://doi.org/10.1016/j.chb.2018.04.008
Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology 49(6), 1077-1095. https://doi.org/10.1111/bjet.12696.
Manathunga, K., Hernández-Leo, D., (2018), Authoring and enactment ofmobile pyramid-based collaborative learning activities, British Journal ofEducational Technology, 49(2),262–275,doi:10.1111/bjet.12588
Albo L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology-Enhanced Learning (EC-TEL 2018); 2018 Sep 3-6; Leeds, UK, 605-609.
The Media Researcher as Storyteller: Working with Digitized Audiovisual SourcesBerber Hagedoorn
This study offers a first exploratory critique of digital tools' socio-technical affordances in terms of support for narrative creation by media researchers. We reflect on narrative creation processes of research, writing and story composition by Media Studies and Humanities scholars as well as media professionals (journalists, television/image researchers, documentary filmmakers, digital storytellers, media innovation experts) working with cross-media and audiovisual sources, and the pivotal ways in which digital tools inform these processes of search and storytelling. Our study proposes to add to the existing body of user-centered Digital Humanities research by presenting the insights of a cross-disciplinary user study. This involves, broadly speaking, researchers studying audiovisual materials in a co-creative design process, set to fine-tune and further develop a digital tool that supports audiovisual research through exploratory search. This article focuses on how researchers – in both academic as well as professional settings – use digital search technologies in their daily work practices to discover and explore (crossmedia, digital) audiovisual archival material, specifically when studying 'disruptive' media events . We focus on three user types, (1) Media Studies researchers; (2) Humanities researchers that use digitized audiovisual materials as a source for research and (3) media professionals who need to retrieve audiovisual materials for audiovisual text productions. Our study primarily provides insights into the search, retrieval and narrative creation practices of these user groups. However, a user study such as this in which qualitative methods (co-creative design sessions, focus groups, research diaries, questionnaires) are combined, affords fine-grained insights, and informs conclusions about the role of digital tools in meaning-creation processes around working with audiovisual sources.
Reference to our related journal article: Berber Hagedoorn and Sabrina Sauer, ‘The Researcher as Storyteller: Using Digital Tools for Search and Storytelling with Audio-Visual (AV) Materials’, submitted for review to VIEW: Journal of European Television History and Culture (2018)
Slides from my presentation at the 2017 Annual Meeting of the Society for Social Studies of Science. More info: https://convention2.allacademic.com/one/ssss/4s17/index.php?cmd=Online+Program+View+Session&selected_session_id=1290634&PHPSESSID=m29imqs8m956ii81pfl6usa1i0
Analysis of Multiple Pilots for ICT-supported Lifelong Competence Development, Davinia Hernández-Leo, davinia.hernandez@upf.edu, TENCompetence Winter School 2009, 1-6 February Innsbruck, Austria
Social media as a tool for terminological researchTERMCAT
Social media as a tool for terminological research
Anita Nuopponen - University of Vaasa
Niina Nissilä - University of Vaasa
VII EAFT Terminology Summit. Barcelona, 27-28 november 2014
News recommenders have the potential to help users filter the enormous amount of news that is available online, and as such may play an important role in determining what information users do and do not get to see. However, current approaches to evaluating recommender systems are often focused on measuring an increase in user clicks and short-term engagement, rather than measuring the user's and society’s longer term interest in diverse and important recommendations. In this talk we aim to bridge the gap between so-called normative notions of news diversity, as it is known in social sciences and specifically democratic theory, and quantitative metrics necessary for evaluating the recommender system. We discuss a number of democratic missions a recommender system could have, together with a set of evaluation metrics stemming from these missions, and suggest ways for practical implementations of these metrics.
The talk will be about practical considerations that our team has had to make in order to bring a recommender system into production. I’ll cover the “default” tools with which we started (Batch processing in Spark) and follow that up with more recent tools like AWS Lambda and Spark Streaming.
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Because of your generous donations, your fundraising and your commitment, HHUGS families got through the Winter chill. HHUGS distributed £170,488.17 and provided Winter campaign support to 59 families, 125 adults and 108 children.
The Shopping cart is mainly useful for who haven’t time to go to shopping, those are just entered into this website and bought what ever they want. Even it is night or morning they entered into this site, and chosen different items like fruits, books, toys etc.. ‘Customer is our god’ mainly this website is based on this formula. After chosen items he bought into Pay pal process like VISA or MASTER credit cards or any Debit cards are accepted in this website. Customer is happily shopping at his rest place.
Slides from NITLE Digital Scholarship Seminar: National Perspective, Jennifer Serventi, Senior Program Officer, Office of Digital Humanities, National Endowment for the Humanities
Learning design and data analytics: from teacher communities to CSCL scriptsdavinia.hl
Open Seminar at the University of Oulu, 4th Dec. 2018
http://www.oulu.fi/koulutusteknologia/node/56057
Learning design and data analytics: from teacher communities to computer-supported collaborative learning scripts
Presenter: Davinia Hernández-Leo, Associate Professor, Information and Communication Technologies Department, University Pompeu Fabra, Barcelona
Brief description: I will present an overview of the educational technologies research conducted by the TIDE research group of the Information and Communication Technologies Department at Universitat Pompeu Fabra in Barcelona (http://www.upf.edu/web/tide @TIDE_UPF). The overview will be articulated around the perspective, central to TIDE work, of supporting teachers and teacher communities (e.g a school) in the design of the best possible (technology-enhanced) learning activities considering their students and their contexts. Main research contributions that will be presented include a community platform for integrated learning design (ILDE, including multiple authoring tools e.g. edCrumble), scalable and flexible orchestration of computer-supported collaborative learning scripts (PyramidApp), and the use of data analytics at different levels (learning, design, community) to support teachers in learning (re)design. The presentation will include results of European, Spanish and Catalan projects (METIS, RESET, CoT) and our initial work in recently started projects (SmartLET, Illuminated).
Hernández-Leo, D., et al. (available online) Analytics for learning design: A layered framework and tools, British Journal of Educational Technology. https://doi.org/10.1111/bjet.12645
Hernández-Leo, D., et al. (2018). An Integrated Environment for Learning Design. Frontiers in ICT, 5, 9. doi: 10.3389/fict.2018.00009
Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85, 255-270. https://doi.org/10.1016/j.chb.2018.04.008
Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology 49(6), 1077-1095. https://doi.org/10.1111/bjet.12696.
Manathunga, K., Hernández-Leo, D., (2018), Authoring and enactment ofmobile pyramid-based collaborative learning activities, British Journal ofEducational Technology, 49(2),262–275,doi:10.1111/bjet.12588
Albo L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology-Enhanced Learning (EC-TEL 2018); 2018 Sep 3-6; Leeds, UK, 605-609.
The Media Researcher as Storyteller: Working with Digitized Audiovisual SourcesBerber Hagedoorn
This study offers a first exploratory critique of digital tools' socio-technical affordances in terms of support for narrative creation by media researchers. We reflect on narrative creation processes of research, writing and story composition by Media Studies and Humanities scholars as well as media professionals (journalists, television/image researchers, documentary filmmakers, digital storytellers, media innovation experts) working with cross-media and audiovisual sources, and the pivotal ways in which digital tools inform these processes of search and storytelling. Our study proposes to add to the existing body of user-centered Digital Humanities research by presenting the insights of a cross-disciplinary user study. This involves, broadly speaking, researchers studying audiovisual materials in a co-creative design process, set to fine-tune and further develop a digital tool that supports audiovisual research through exploratory search. This article focuses on how researchers – in both academic as well as professional settings – use digital search technologies in their daily work practices to discover and explore (crossmedia, digital) audiovisual archival material, specifically when studying 'disruptive' media events . We focus on three user types, (1) Media Studies researchers; (2) Humanities researchers that use digitized audiovisual materials as a source for research and (3) media professionals who need to retrieve audiovisual materials for audiovisual text productions. Our study primarily provides insights into the search, retrieval and narrative creation practices of these user groups. However, a user study such as this in which qualitative methods (co-creative design sessions, focus groups, research diaries, questionnaires) are combined, affords fine-grained insights, and informs conclusions about the role of digital tools in meaning-creation processes around working with audiovisual sources.
Reference to our related journal article: Berber Hagedoorn and Sabrina Sauer, ‘The Researcher as Storyteller: Using Digital Tools for Search and Storytelling with Audio-Visual (AV) Materials’, submitted for review to VIEW: Journal of European Television History and Culture (2018)
Slides from my presentation at the 2017 Annual Meeting of the Society for Social Studies of Science. More info: https://convention2.allacademic.com/one/ssss/4s17/index.php?cmd=Online+Program+View+Session&selected_session_id=1290634&PHPSESSID=m29imqs8m956ii81pfl6usa1i0
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Social media as a tool for terminological researchTERMCAT
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Lessons Learned from a Digital Tool Criticism Workshop
1. Marijn Koolen (KNAW Humanities Cluster)
Jasmijn van Gorp (Utrecht University)
Jacco van Ossenbruggen (Centrum Wiskunde & Informatica)
DH Benelux 2018, Amsterdam, 7 June 2018
Lessons Learned from a Digital
Tool Criticism Workshop
2.
3. Setting:
● Many datasets and tools available and used in (digital) humanities research
● Methods (hand)books in humanities primarily aimed at analogue research →
not yet up to date with digital research
Questions:
● Which methodological steps do we have to take to use digital tools and data responsibly?
● To what extent do these steps differ from the steps taken in the pre-digital era?
○ How to align tool impact with user’s intentions
○ How to reach shared understanding of tools in methodology
Goal: develop and test method for performing Digital Tool Criticism
Motivation workshop ‘Digital Tool Criticism’
4. Overview
- Digital Tool Criticism
- Workshop Setup
- Workshop Findings
- Recommendations
- Next Steps
5. Digital Tool Criticism
Definition:
With digital tool criticism we mean the reflection on the role of digital tools in the research
methodology and the evaluation of the suitability of a given digital tool for a specific research
goal.
The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve
a tool’s performance.
That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods,
interpretations and outcomes.
(Koolen, van Gorp & van Ossenbruggen, submitted)
6. ● Two experiments on exploratory research phase
○ Limited number of digital tools (overlap)
○ Broad research topic/theme: migration
● Do experiments in groups, keep track of findings
○ Participants log/write down steps and choices
○ Present and discuss findings
● Meta-discussion
○ General findings and lessons learned
○ Suitability of workshop format and setup
○ Ideas for next steps
Workshop Setup
7. Focus on Exploratory Phase of Research
Model taken from Maxwell (2013)
Trevor Owens (2014): developing research question is iterative process, can start anywhere
8. Guiding Questions
● Starting point: source criticism
○ Method / approach in the humanities and specifically in historical research (cf. Fickers, 2012)
○ Internal source criticism: content of the text
○ External source criticism: metadata of the text (context)
■ Who created the text?
■ What kind of document is it?
■ Where was it made and distributed?
■ When was it made?
■ Why was it made?
● Tool criticism
○ What makes digital tool criticism different from digital source criticism?
○ Question: what is a digital tool (versus a digital source)?
9. Two parts
1. Using explorative tools to refine a research question (90 minutes)
2. Using explorative tools to collect digital sources (90 minutes)
Single overarching research theme:
● Discourse around migration and refugees in broadcast media and politics
Logging process
● Write down reflections/insights/questions on Post-it notes and Google Doc
● Keep track of: goals, question, method, steps
Experiment
10. Tools for Specific Datasets
● Cultural heritage
○ Europeana (europeana.eu)
○ European Library (theeuropeanlibrary.org)
● Broadcast media
○ EuscreenXL (EU) (euscreen.eu)
○ AVResearcherXL (NL) (avresearcher.clariah.beeldengeluid.nl)
○ Plus: Delpher newspaper collection (NL) (delpher.nl)
● Politics:
○ Parliamentary debate search (http://search.politicalmashup.nl/)
○ Talk of Europe (http://www.talkofeurope.eu/data/)
○ Migration Flows - Europe (http://migration.iom.int/europe/)
11. ● Voyant-tools.org (https://voyant-tools.org/)
● OpenRefine (http://openrefine.org/, only available as desktop app)
● Digital Methods Initiative (DMI) tools
(https://wiki.digitalmethods.net/Dmi/ToolDatabase)
● Digital Research Tools Directory (https://dirtdirectory.org/)
● Excel
Generic Tools
12. 19 participants, broad range of backgrounds:
- Digital Heritage, Film studies, History, Linguistics, Literary Studies,
- Media Studies, Science & Technology Studies
- Information Science, Computer Science
6 groups (5 of 3 participants, 1 of 4)
Participants
15. Workshop Findings
Three parts:
1. General trends in research process
2. Impact of data and tools on research questions
3. Meta-discussion
16. Findings 1: General Trends in Research Process
We analysed the Google Doc notes of the individual groups
Colour-coded the notes based on 5 aspects:
Research question
Method
Tool
Dataset
Reflection (hard to read: it’s yellow and says “Reflection”)
20. Findings 2: Impact of Data and Tools on RQs
● First steps in this exploratory phase:
○ All groups use rapid searches
■ Establish suitability of data/tool for a certain line of inquiry
■ Many dead ends: search reveals data is limited, tool lacks functionality
■ Iteratively adjusted questions, tools and data selections
○ Reflection on tools affects research questions
● Once questions, tools and data are aligned
○ Exploration continues in a specific direction
○ Use same strategy to refine questions and hypotheses
○ In line with findings by Solberg (2012, p. 64).
○ Continuous reflection required to keep alignment!
21. Findings 3: Meta-Discussion
● Collaborative reflection
○ Explicit discussion and questioning encourages reflection
○ Prompts questions that otherwise would not have been asked
○ Note taking helps understand process and choice points
● Data literacy
○ Need to understand how data is structured
○ “Give us the raw data!”: Scholars often want direct access to underlying data
○ Tools and data need better documentation
○ Tools and data are hard to separate
● Workshop format
○ (Collaborative) reflection-in-action increases awareness of tool impact and choices
○ Effective to group tool users and builders
24. We have to reflect on how digital tools organize, access and analyse our materials
Late 19th and early 20th century scholarship was dominated not by big ideas, but by methodological
refinement and disciplinary consolidation.
Denigrated in the later 20th century as unworthy of serious attention by scholars, the 19th and early
20th century, by contrast, took activities like philology, lexicology, and especially bibliography very
seriously.
Serious scholarship was concerned as much with organizing knowledge as it was with
framing knowledge in an ideological construct.
(Scheinfeldt 2008)
Need to Integrate Reflection in Methods
26. For researchers:
- Incorporate digital source, data and tool criticism in research process
- Explicitly ask and answer questions about assumptions, choices, limitations
- Document and share workarounds
- Develop method of experimentation with tool to test functioning
For tool developers and data providers:
- Add an “About” page and documentation on functionalities
- Describe selection criteria and transformations of data sets
Recommendations
27. Next steps
1. Elaborate methodology of DTC
a. More elaborate theoretical foundation of reflexivity in different disciplines and fields
b. Create a method-canvas
c. Use and test in different types of settings
2. DNA-visualisations
a. Create and interpret by researchers (e.g. workshop DH Benelux 2018)
b. Use and test in different types of settings
c. Look at ways to build them into software/tools (automated versus note-taking)
3. Plea for more reflexivity in tool development and training
28. Eijnatten, J. van ., Pieters, T. & Verheul, J., (2013). Big Data for Global History: The Transformative Promise of Digital Humanities.
BMGN - Low Countries Historical Review. 128(4), pp.55–77. DOI: http://doi.org/10.18352/bmgn-lchr.9350
Fickers, A. (2012). Towards a New Digital Historicism? Doing History in the Age of Abundance. View journal, volume 1 (1).
http://orbilu.uni.lu/bitstream/10993/7615/1/4-4-1-PB.pdf
Hitchcock, T. (2013). Confronting the Digital - Or How Academic History Writing Lost the Plot. Cultural and Social History, Volume 10,
Issue 1, pp. 9-23. https://doi.org/10.2752/147800413X13515292098070
Maxwell, J. (2013). Qualitative Research Design: An Interactive Approach, 3rd edition. SAGE publications.
Owens, T. (2014). Where to Start? On Research Questions in The Digital Humanities.
http://www.trevorowens.org/2014/08/where-to-start-on-research-questions-in-the-digital-humanities/
Putnam L. (2016). The Transnational and the Text-Searchable: Digitized Sources and the Shadows They Cast. American Historical
Review, Volume 121, Number 2, pp. 377-402.
Scheinfeldt, T.(2008). Sunset for Ideology, Sunrise for Methodology? Found History.
http://foundhistory.org/2008/03/sunset-for-ideology-sunrise-for-methodology/
Solberg, J. (2012). Googling the Archive: Digital Tools and the Practice of History. Advances in the History of Rethoric, Volume 15, pp.
53-76.
References