Opasnet-kanta
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Sivutunniste: Op_fi1690 |
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Tämä sivu on yleiskuvaus Opasnet-kannasta.
- Opasnet-kanta on osa Opasnettiä ja se sisältää muuttujien tuloksia sekä tutkimusdataa. Tietokanta on pyritty suunnittelemaan joustavaksi, joten se soveltuu lähes kaikenlaisen datan tallettamiseen. Kanta soveltuu niin todennäköisyysjakaumille kuin piste-estimaateille, paikkatiedolle sekä moniulotteiselle datalle. Opasnet-kannassa olevaa dataa voidaan käyttää suoraan esimerkiksi Analytica-malleissa.
Opasnet-kantaan pääsee käsiksi muuttuja- ja tutkimussivuilla olevien linkkien ("metadata-laatikko") kautta, oman Opasnet-nettiliittymänsä kautta sekä Analytica-ohjelmalla toteutetulla Opasnet base connection.ANA-tietokantaliittymällä.
Joitakin Opasnet-kannan käyttötapoja ja -kohteita
Tulkittujen mallitulosten taltioitni
Alunperin Opasnet-kanta suunniteltiin tulkittujen mallinnustulosten tallennuspaikaksi, ts. muuttujien tuloksille. Muuttujilla pyritään vastaamaan todellisuutta koskeviin kysymyksiin, ja niiden tulokset ovat tämänhetkinen paras arvio vastaukseksi. Muuttujat eroavat tutkimus-sivuista, jotka ilmaisevat vain havainnot jostakin tietystä tieteellisestä (osa)tutkimuksesta. Muuttujien tulosten odotetaan kehittyvän jatkuvasti, kun taas tietyn |tutkimuksen tuottama data pysyy muuttumattomana tutkimuksen valmistuttua.
Storage of study results
Opasnet Base can be used to collect observation data from studies. A study can be a traditional research study, documented in Opasnet Data afterwards, or it can be an Opasnet study where the data is collected on a particular Opasnet page with a web form. There can be several purposes to using Opasnet Base as a data repository:
- To collect observation data to be directly and conveniently usable in interpretations of variables and other objects.
- To collectively collect information about specific cases for the purpose of conditionalizing generalised assessment models with data specific to particular cases.
However, there are some things about variables and studies that should be understood:
- The object for a collection of observations is called a study, while the object of interpretations is called a variable. As an example, a study can collect information about a population group by a questionnaire and by taking a blood sample. The study identifier is the Obj.id in the Opasnet Base.
- The object may be divided into smaller pieces along one or more indices. For example, the questionnaire may have 30 questions, and therefore the questionnaire data can be indexed by an index with 30 columns (or rows, depending on which way you think), one row for each question. Each column of the study object has one cell, i.e. an answer to one question. In this study, ten blood markers will be studied, and therefore the study object will have 40 cells, and the index has 40 columns (30 from the questionnaire, 10 from the blood sample). The cell identifier is the Cell.id in the Opasnet Base.
- For each individual patient, there is one row of observations, each 40 cells. The observation row identifier is Res.Sample in Opasnet Base.
- The actual result of a particular cell of a particular patient is located in Sam.Result in Opasnet Base (or in Res_info.Description in the case where the result is text, i.e. non-numeric).
- Each study may be multidimensional just like a variable and have indices along e.g. space, time, or sex.
- If the data is collected using an Opasnet web form, then the timestamp and username or IP will be recorded for each entry into Resinfo.When and Resinfo.Who fields, respectively. This is not needed, if the data comes from a previously performed study (which is static data in the eyes of Opasnet).
- In some cases, it might be useful to restrict the number of entries per user to one. However, this is done only at the interpretation phase where only the last entry is counted. There are no restrictions to enter new data, and therefore a user may change his/her previous entry by simply making a new entry.
Making value-of-information analyses in Opasnet base
Value of information (VOI) is a decision analysis tool for estimating the importance of remaining uncertainty for decision-making. Result database can be used to perform a large number of VOI analyses, because all variables are in the right format for that: as random samples from uncertain variables. The analysis is done by optimising an indicator variable by adjusting a decision variable so that the variable under analysis is conditionalised to different values. All this can in theory be done in the result database by just listing the indicator, the decision variable, and the variable of interest. Practical tools should be developed for this. After that, systematic VOI analyses can be made over a wide range of environmental health issues.
Analysing the change in the quality of a variable result in Opasnet base
All results that have once been stored in the result database remain there. Old results can be very interesting for some purposes:
- The time trend of informativeness and calibration (see performance) can be evaluated for a single variable against the newest information.
- Critical pieces of information that had a major impact on the informativeness and calibration can be identified afterwards.
- Large number of variables can be assessed and e.g. following questions can be asked:
- How much work is needed to make a variable with reasonable performance for practical applications?
- What are the critical steps after which the variable performance is saturated, i.e., does not improve much despite additional effort?