Opasnet user skills

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Question

What skills are necessary for doing open assessment? What methods should everyone know how to use, which ones are special skills?

Answer

These are technical skills that are important for performing or evaluating open assessments in Opasnet. They are in a rough order, starting from those that are the most common or crucial skills. Of course, there are many other skills that are important but not technical (e.g. understanding what to write, in addition to knowing how to write in a wiki), but they are not listed here.

Basic wiki skills:

Main article: Help:Wiki editing / op_fi:Ohje:Wiki-muokkaus

• Format : headings, bold, italic, lists, indentations
  • Understanding and using the heading (attribute) structure for information objects: scope, result, rationale, see also, keywords, references, related files.
• Tables: basic table (prettytable), table to wiki, colspan
• Links: internal, to another wiki, external, to the same text in a wiki with different language, to Wikipedia, permanent link. Controlling visibility of text in a link (text separated with |, square brackets, running numbers).
• Ref-tag: basic use, correct manner of referencing
• Files: uploading and description, adding a picture to a site, thumb parameters, link to a file or link to a site containing the file
• Categories, categorizing
• Evaluating scientific content and usefulness of a page using the rating bar.

Basics of open assessment

Main article: Help:Open assessment method / op_fi:Ohje:Avoimen arvioinnin menetelmä

• Page types: assessment, variable, encyclopedia, method, study
  • Template parameters: moderator, stub
• Subtitles=attributes and their contents
• Composing good research questions
• Writing a structured discussion on a discussion page and linking to it from the content page.
  • Organized argumentation: discussion, attack, defence, comment, invalidation, hierarchy
• Uploading data into Opasnet base: t2b, t2b-csv
• Life expectancy model Impact calculation tool (ICT)

Opasnet maintenance

Main article: Help:Opasnet maintenance / op_fi:Ohje:Opasnetin ylläpito

• Kuka ylläpitää Opasnet-järjestelmää (THL)
• Kuka saa kirjoittaa (kaikki)
• Kuinka laatua ylläpidetään
  • Kirjoittajien harkinta
  • Lukijoiden palaute, kommentit ja rating bar
  • THL joidenkin sivujen osalta joko työntekijöiden voimin tai tuntityönä
• Millä perusteella THL valitsee ylläpidettävät sivut? ←--#: . Keskusteltava! --Jouni 06:27, 5 June 2012 (EEST) (type: truth; paradigms: science: defence)
• Millä perusteella THL palkkaa ylläpitäjät? ←--#: . Keskusteltava! --Jouni 06:27, 5 June 2012 (EEST) (type: truth; paradigms: science: defence)
• Mikä on vapaaehtoisen ylläpidon rooli? ←--#: . Keskusteltava! --Jouni 06:27, 5 June 2012 (EEST) (type: truth; paradigms: science: defence)
• Mikä on palkallista työtä ja mikä ei? Onko kohtuullista vaatia, että esim. Opasnetin menetelmät opiskellaan omalla ajalla, ja vain ohjeiden kirjoittamisesta maksetaan? Perustelu: työ voitaisiin pitää THL:n sisällä ja antaa jonkun sellaisen tehtäväksi, joka on jo opiskellut kyseisen asian; näin säästyisi THL:n rahaa. ←--#: . Keskusteltava! --Jouni 06:27, 5 June 2012 (EEST) (type: truth; paradigms: science: defence)

Advanced wiki skills

Main article: Help:Wiki editing Advanced skills op_fi:Wiki-muokkaus#Edistyneitä taitoja

• Uploading data to Opasnet Base using different tools.
  • Table2Base table uploader.
  • Special:Upload to upload files to wiki.
  • Special:Opasnet Base Import to upload data from files into Opasnet Base.
  • R uploader (for experts; works only from specific IP addresses).
• Downloading data from Opasnet Base. Choosing particular locations from indices. Selecting between uploads. Selecting means or samples.
• Marking extensive pages as publications.
• Google maps
• Building links into parts of picture
• Drawing and uploading Google-pictures into wiki
• Writing LaTeX-code
• Writing SQL-queries in wiki
• Writing R-code (see R-code below)

Basics of R-tools

Main article: Help:Using R-tools / op_fi:Ohje:R-laskennan käyttäminen (this page is about using R-tools, not about writing code.

• Running R codes from a page.
• Understanding how user inputs are used.
• Understanding the structure of R-tools output.
• Understanding how to find the user input values from a model run.
• Knowing how to save R-tools results: using the link to a model run or saving the html to own computer.
• Understanding the impossibility of other people to see your model runs without the exact link.
• Deleting a model run permanently (THIS OPTION DOES NOT EXIST YET).
• Understanding the concept of S4 objects ovariable and oassessment.
• Understanding the outputs: what are "Source." columns and what does the Data vs. Formula mean.

TODO: {{#todo:Missä olikaan esimerkki siitä, kuinka mallineella voi ladata rcode-parametreja R-toolsin käyttöliittymään? --Jouni 06:09, 5 June 2012 (EEST)|Juha Villman, Einari Happonen|}}

TODO: {{#todo:Pitäisi tehdä semmoinen nappi R-toolsin tulossivulle, josta ajon saa pysyvästi poistettua serveriltä. Tästä oli joskus puhetta, ja käyttäjäpalautteessa tämä tarve tuli voimakkaasti esille. --Jouni 06:09, 5 June 2012 (EEST)|Juha Villman, Einari Happonen|}}

Basics of R coding

Main article: Help:Writing R code in Opasnet / op_fi:Ohje:R-koodin kirjoittaminen Opasnetissä

• S4 objects ovariable and oassessment.
• Writing R code for variables and running it to get results. Uploading results to Opasnet Base.
• Objects, vectors, data.frames, arrays, factors
• Functions c, data.frame, colnames
• Cutting an object [,]
• Loading a library. Basic libraries ggplot2, OpasnetBaseUtils, Triangular.
• Probabilistic (Monte Carlo) distributions: rnorm, runif, rpois, rbinom, rbern, rtriangular
• Combining objects: rbind, cbind, merge
• Drawing figures: gplot, ggplot
• Running conditional functions on parts of data: tapply
• Opasnet functions and using Opasnet base: op_baseGetData, op_baseWrite
• Read.data-function and loading files

Advanced skills in open assessment

Main article: Help:Open assessment method#Advanced skills / op_fi:Avoimen arvioinnin menetelmä#Edistyneitä taitoja

• Value of information (VOI) analysis: counterfactual, possible worlds, Hubbard
• Making statistical analysis of Opasnet base

Basics of coding Analytica

• Good ability to read Analytica models
• Comprehension on how to work with arrays
• Comprehending probability distribution
• Comprehending how to cut arrays under different terms

Advanced Analytica coding skills

• Good skills at writing Analytica code from scratch and application of basic skills

Justification

This list of skills works as a basis for filling in the Taito-table at Aikakone in Finnish Opasnet.

See also

• Aikakone

Related files

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