What’s New in Colectica 5.3 Part 2 Vamp EDDI 2016 - Cologne

Data Capture with Blaise Here we have the Data Entry Program, and we can go ahead and fill out the survey. So you can see the iteration time is pretty quick. We can visually create and edit the survey, and press a button to test the survey out in the fielding platform.

PDF Specification Another output we can create is a PDF specification. This might be useful as documentation for reserachers, or as a specification for programmers if you will field the survey in a different system.

PDF Specification We can take a look at what that looks like. It basically has all the questions, all the metadata about those questions, and the conditions that must be true for the question to be on the route for a respondent.

Instrument in Colectica Portal Another publication target is Colectica Portal. Hree we can see what it looks like to browse the instrument in Portal. We get the flowchart view, and we can see what conditions lead to which questions or sections being asked.

Questions in Colectica Portal We can also search for individual questions within the Portal. We can search for food, and find what questions we have about that. When we look at an individual question, we can see the context of that question. It shows what questions came immediately before and after this one. If the question is used in multiple surveys, those will all appear hear.

Multiple Languages And of course, like DDI, Colectica and Blaise support multiple languages. Let’s take a look at an example in Colectica: in this example of the Census, we’lll notice that we are looking at English. But we can click that, and see the different languages for this question. Additional languages can be added at the Instrumetn level . We can take a look at what adding a new languages looks like.

Multiple Languages in Blaise Finally, if we publish this to Blaise, let’s look at how we can switch between languages in the Blaise Data Entry Program. Colectica and Blaise both use Unicode, so different character sets work just fine.

Roadmap Dynamic text Edit checks Rosters and loops Prefill data Your Ideas? So, this is currently a preview. We have a roadmap and we want to build on this. Upcoming features include … [bullets] And of course, we would love to hear your ideas.

Colectica Datasets View, improve, and publish data files Next, let’s talk about Colectica Datasets. So DDI is a pretty expansive standard and it covers a lot of different things. Colectica Designer is very much a DDI editor: you create DDI items, fill in their properties and create relationships to other items. That’s not always what people want to do. Sometimes you just want to look at data or document data and you’re not concerned with the entire lifecycle. You have a dataset and you want to do something with it. That’s what Colectica Datasets is made for: to view, improve, and publish data files.

Explore As you can see, there is basically one button you need to be concerned with. That’s the Open button. When I click that, I will be prompted to open a data file. We support several formats: SAS, SPSS, Stata, Excel, and CSV. IN this case I will choose an SPSS data file. This happens to be from the MIDUS project. I’ll choose that and hit Open, and I can see a list of all the variables that are in the dataset. I can select any of these variables and take a look at an exploratory visualization. It will show the category frequencies or a histogram, depending on whether it is categorical or numeric data. So it’s a pretty quick way to get a feel for what’s in the dataset. I can also take a look at the metadata that is available for each variable. You’ll notice of course the name and label are there, but we can also take a look at extended attributes that are stored within the SPSS file. This isn’t a feature that’s widely used, but SPSS does support these extended attributes. Here you can see we have information about question text and topics. The MIDUs folks added this manually to this dataset, but we are providing this tool, as well as features in Colectica Designer to create this rich metadata within an actual SPS .sav file.

View Data We can also view data in a spreadsheet style view, if you want to look at all the columns and rows that are in your dataset. We also support dataset level metadata like a label and description. This will be extensible as well.

Publish Once you’ve opened and possibly improved the metadata in this data file, there are a few things you can do with it. You can export to a few different formats including CSV, Excel, and SPSS. We will be adding more formats here shortly. You can also publish it. You can create a PDF data dictionary or codebook. And of course you can export DDI 3.2 XML file, which you can bring into Colectica Repository or any other DDI tools.

Roadmap Variable grouping and search Data quality report card Missing metadata Spell checking Extensible validations Easily fix issues directly in the app Publish to more locations BagIt Figshare Zenodo Your ideas? Just like with Questionnaires, this is in preview, and we have a roadmap that we are eager to get to. Some of the things we are look at are: [bullets] We are very open to your ideas on what targets you would like to publish to, as well as any other functionality you would like to see in a program like this.

Availability So, availability of version 5.3.

Colectica 5.3 Availability Repository, Portal, Designer, Excel Available now Datasets and Questionnaires In preview, available early 2017 Repository, Portal, Designer, SDK, and Colectica for Excel are available to customers now. Datasets and Questionnaires are in Preview, so talk to us if you’d like to check them out. We would very much like to get your feedback. We expect those to be available publicly early next year.

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