research and academic software projects at the institute ... · research and academic software...
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Research and Academic Software Projects at the Institute for
Quantitative Social ScienceMercè Crosas, Ph.D.
Chief Data Science and Technology OfficerIQSS, Harvard University
twitter : @mercecrosas web: mercecrosas.com
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The Big Picture
Identify a problem or
need in research or academia
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The Big Picture
Identify a problem or
need in research or academia
Build a technology solution,
easy- to-use, gives control to researcher
![Page 4: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/4.jpg)
The Big Picture
Identify a problem or
need in research or academia
Build a technology solution,
easy- to-use, gives control to researcher
Generalizable,
Open-source
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The Big Picture
Identify a problem or
need in research or academia
Build a technology solution,
easy- to-use, gives control to researcher
Build a community that makes
the technology
better
Generalizable,
Open-source
![Page 6: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/6.jpg)
Example: Dataverse
![Page 7: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/7.jpg)
Example: Dataverse๏ How do we increase data sharing to
improve research transparency and replication with incentives to researchers?
![Page 8: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/8.jpg)
Example: Dataverse๏ How do we increase data sharing to
improve research transparency and replication with incentives to researchers?
๏ Provide a repository solution, where researchers have control of branding and access of their data, and get credit through data citation.
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Example: OpenScholar
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Example: OpenScholar
๏ How do we enable scholars to build their academic web sites in a cost effective way?
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Example: OpenScholar
๏ How do we enable scholars to build their academic web sites in a cost effective way?
๏ Provide a web site builder with pre-set features for academics, where a single hosting serves thousands of sites.
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Example: Zelig
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Example: Zelig๏ How do we simplify using thousands of
R statistical methods built by different authors?
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Example: Zelig๏ How do we simplify using thousands of
R statistical methods built by different authors?
๏ Provide a statistical package that uses the same three commands for all methods, with consistent documentation.
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Example: Consilience
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Example: Consilience
๏ How do we make sense of thousands (or millions!) of texts?
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Example: Consilience
๏ How do we make sense of thousands (or millions!) of texts?
๏ Provide an application that helps researchers explore many possible ways of categorizing documents.
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The ProcessResearch,
standards & best practices
Development, testing & releases
Input from users, community, stakeholders
Dataver
se
Case St
udy
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metadata standards, harvesting protocols,
data transfer, data citation, provenance,
connecting to journals, integrating with cloud
computing, ….
The ProcessResearch,
standards & best practices
Development, testing & releases
Input from users, community, stakeholders
Dataver
se
Case St
udy
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metadata standards, harvesting protocols,
data transfer, data citation, provenance,
connecting to journals, integrating with cloud
computing, ….
The ProcessResearch,
standards & best practices
Development, testing & releases
Input from users, community, stakeholders
Dataver
se
Case St
udy
usability testing, community calls,
annual community meeting, pull
requests
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The Process DetailsDataver
se
Case St
udy
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The Process DetailsDataver
se
Case St
udy
An agile process, integrating Waffle + GitHub + Jenkins, including these steps:
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The Process DetailsDataver
se
Case St
udy
An agile process, integrating Waffle + GitHub + Jenkins, including these steps:
Backlog > Ready > Dev > Code Review > QA > Usability Test > Polishing > Done
![Page 24: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/24.jpg)
The Process DetailsDataver
se
Case St
udy
An agile process, integrating Waffle + GitHub + Jenkins, including these steps:
Backlog > Ready > Dev > Code Review > QA > Usability Test > Polishing > Done
Pull Requests
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Not only Best Practices in Process, but also in Coding
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Not only Best Practices in Process, but also in Coding
![Page 27: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/27.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.
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Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.
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Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.
![Page 30: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/30.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.4. Don't repeat yourself (or others).
![Page 31: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/31.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.4. Don't repeat yourself (or others).5. Plan for mistakes.
![Page 32: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/32.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.4. Don't repeat yourself (or others).5. Plan for mistakes.6. Optimize software only after it works correctly.
![Page 33: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/33.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.4. Don't repeat yourself (or others).5. Plan for mistakes.6. Optimize software only after it works correctly.7. Document design and purpose, not mechanics.
![Page 34: Research and Academic Software Projects at the Institute ... · Research and Academic Software Projects at the Institute for Quantitative Social Science Mercè Crosas, Ph.D. Chief](https://reader033.vdocument.in/reader033/viewer/2022050609/5fafffa21b99770255324652/html5/thumbnails/34.jpg)
Not only Best Practices in Process, but also in Coding
1. Write programs for people, not computers.2. Let the computer do the work.3. Make incremental changes.4. Don't repeat yourself (or others).5. Plan for mistakes.6. Optimize software only after it works correctly.7. Document design and purpose, not mechanics.8. Collaborate.
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Impact at Harvard
6,833 OpenScholar sites created
13,904 Registered users
75,378 Publications posted
24 Academic departments
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Impact at Harvard
243 Dataverses from Harvard affiliates
1,226 Datasets by Harvard affiliates as authors
1,427 Registered Harvard users
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Broader Impact
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Dataverse world-wide impact
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Dataverses by Category
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Datasets by Subject
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53 Stats Models, easy-to-use
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Thank you!
Presented by @mercecrosas mercecrosas.com
dataverse.orgdataverse.harvard.edu
openscholar.orgprojects.iq.harvard.eduscholar.harvard.edu
zeligproject.org
Coming soon!
iq.harvard.edu