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Digital literacies Information literacies Skills Team TechItUpTuesday

Data literacy

#TechItUpTuesday

Data literacy is all about how you handle data as a special form of information. Data is used in many ways from monitoring key performance indicators to generating new theories. Our own data – personal and organisational – can also be used, sometimes in ways, we might not want. We all need a basic understanding of legal, ethical, and security issues when we handle data and good habits of personal data security.

Jisc defines data literacy as:

The capacity to collate, manage, access and use digital data in spreadsheets, databases and other formats, and to interpret data by running queries, data analyses and reports. The practices of personal data security.

An understanding of: how data is used in professional and public life; legal, ethical and security guidelines in data collection and use; the nature of algorithms; of how personal data may be collected and used.

Jisc, Data Literacy
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Data is a bit like marmite it is usually either loved or hated. Data is, however, an important aspect of most job roles or courses of study. The importance of data goes beyond just work and studies. In our daily lives, we are often presented with data on a regular basis. Data literacy is important whether you are comparing data for bills you have to pay, your student loan repayments, or looking at figures related to the coronavirus pandemic.

When considering data in the context of digital literacy, the focus is often on data management, analysis and visualisation.

Things to consider when using data

Accesibilty

Data can be very difficult to make accessible particularly if it is raw data (essentially just a series of numbers or information). For accessibility purposes, the focus has to be on interpreting, presenting, and summarising data. Just a hint the gif below is not a good way to make your data accessible or as you will see below the best way to store it.

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Storage

Data sorted, arranged, presented and explained with a story. You see bricks become more ordered and assembled as the model develops.

This may not be as much of an issue as a student but can be incredibly important in the working world. Whenever we create, use, or produce data we need to consider where it is stored. There are many legal, ethical, and security issues in how data is stored, accessed, and shared. These dimensions of data management are driven based on the type of data you are working with, and whether it contains any personal, sensitive, or commercially sensitive data. If you do have any sensitive information, make sure it is protected by a password or stored in a safe place. Here are some useful ways you can store data.

  1. Store it in the Cloud.
  2. Save to an External Hard Drive.
  3. Burn it to a CD, DVD, or Blu-ray.
  4. Put it on a USB Flash Drive.
  5. Save it to a NAS Device.

Data communication and presentation

Often, data is poorly communicated. The diagram on the left well represents the difference between raw data, and data that has been sorted, arranged, presented, and explained. We will now look through a few useful software tools to present and communicate your data.

Software tools to aid your data literacy

Here are a few useful tools for handling data with some links to tutorials and downloads. (Tutorials and guides are linked on the left and download links are on the right)

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Microsoft Excel

Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android and iOS. It features calculation, graphing tools, pivot tables, and a programming language called Visual Basic for Applications. With a Microsoft 365 account, you can install Microsoft Excel on all your devices.

QSR NVivo

NVivo is a qualitative data analysis computer software produced by QSR International. It is designed for qualitative researchers working with very rich text-based and/or multimedia information, where deep levels of analysis on small or large volumes of data are required.

Microsoft Access

Access is probably the least well-known application in the MS Office suite. However, it is incredibly useful for a small number of student/staff researchers who need to store and manage large amounts of related data. You may use Access when the program you are using to keep track of something gradually becomes less fit for the task. 

ArcGIS

ArcGIS is a system used to make maps and for geographic information. It can create and use maps, compile geographic data, analyze mapped information, share and discover geographic information, use maps and geographic information in a range of applications, and manage geographic information in a database.

Microsoft Power BI

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.

R

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

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Information literacies Skills Team TechItUpTuesday

Using databases

#TechItUpTuesday

Graphic with a pencil on paper

What are databases?

A database is a system that makes it easy to search, select and store information. These databases will usually contain journal articles, but might also hold legal cases, statistical datasets, news archives, videos, geological maps, and much more. In the case of The University Of Hull and many other universities, the Library buys subscriptions to hundreds of databases that are made available to students and staff through the library website

A picture of a hand pointing at a screen with text and various icons floating around the outside.

How do I use databases?

You could just search for your topic when using databases but it is much better to plan your search strategy. Otherwise, you may spend hours searching to find what you want. Here is an outline of how to carry out your strategy.

Visual representation of your search strategy with five key points

1. Identify key terms

The first step is to identify key terms. It is important to consider the keywords related to your search topic and establish the appropriate terms to search. Rather than entering a whole assignment/project title, you need to pick out the important words that describe your topic. The database will only look for what you type in, so for each keyword, you need to apply a few search tips.

  • Synonyms (a word or phrase that means exactly or nearly the same as another word or phrase) and related terms.
  • Consider American spellings and terminologies
  • Take into account Formal and informal terminology
  • Think about word endings and plurals for example instead of “Educate” maybe consider other endings like “Education”.
  • Acronyms and abbreviations can also be used for some words and phrases as well as some organisations
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2. Combine key terms

Next, you need to combine your terms using Boolean operators. Boolean consists of connectors that combine your search terms. Let’s take a look at how to use Boolean operators to help us get appropriate results.

This shows a venn diagram that demonstrates the use of the AND operator to link social media and teenagers. It only finds content that contain both. Content with only one will not appear in such a search

Use AND to combine and find information on all of your search terms. This will narrow your search. When using AND, you only receive pages including both of your search terms, though not next to each other. For your assignment, search for ‘social media AND teenagers’ to get results including social media specific to teenagers.

This shows a venn diagram that demonstrates the use of the OR operator to link teenagers and teens. It finds content that contain both teens, teenagers or both

Use OR to look for alternative terms, phrases or synonyms to broaden your search. When using OR, you receive pages containing one of or both of your search terms. For your assignment, search for ‘Teenagers OR Adolescents’ to get results including teenagers or adolescents, or both.

This shows a venn diagram that demonstrates the use of the OR operator to link teenagers and NOT pre-teens. It only finds content that contains teenagers alone. If content also included pre-teens it would be excluded

Use NOT to exclude a certain term and narrow your search. The NOT operator is used to find pages including only the first term and not the second term. For your assignment, search for ‘Teenagers NOT Adults’ to get results specific to teenagers only and not get any results related to adults.

3. Search techniques

You also need to consider some additional search techniques that can improve the relevancy and number of your results. These will consider things like different spellings, plural words, similar and related words, different words for the same concept. You do not want to miss a key paper because the author used “social networking” and you had only searched for “social media”! The main techniques to help with this are explained in the list below.

GIF showing a man searching for clues

Truncation

This ensures that all relevant articles are retrieved. It will often be an asterisk * which is placed at the stem of the word. Truncating will look for variant endings and plurals.

Phrase searching

Enclose your search terms within double quotation marks, i.e “social media”. This will avoid databases automatically inserting an “AND” between your search terms.

Wildcards

Use wildcards to improve your search. Different databases use different symbols. For example, on the EBSCOhost database, ? replaces one character, # replaces one or more.

Proximity

Narrow and focus your search, e.g. proximity searching. You can use operators NEAR (often N), Adjacent (ADJ) or SAME (in Web of Science). In some databases, you can specify the distances between search words, for example, in the EBSCOhost databases (such as Academic Search Premier, Business Source Premier and Cinahl).

4. Refine your search

The fourth stage is effectively repeating the other stages by further refining your search. If your search doesn’t find enough results consider adding more synonyms or a broader topic. For example instead of Henry VIII try searching for Tudors instead. Although if your search finds too many maybe combine more keywords or limit the date ranges or language to just English. You could also limit your search based on the material, so maybe just search for news archives or add more words to a proximity search.

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5. Save your search strategy

The final stage is to save your strategy so you don’t have to repeat this process if you want to find your chosen article again.. The video below goes through the process of an advanced search for journal articles in the Ebsco database Academic Search Premier. The techniques seen in the video can be applied to all databases that the Library subscribes to.

Recommended databases

Now that we know what databases are and how to use them I just thought I’d give you a few recommendations. These are a few databases I think many of you will find most useful at university and beyond depending on your career path.

JSTOR logo
EBSCO logo
Oxford Journals logo